Faculty

Erik S. Wright, PhD, MS

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Wright, Erik
Dr. Wright's research integrates comparative genomics and experimental evolution to tackle the problem of antibiotic resistance. Although antibiotics have been used by microorganisms for eons, it remains unclear how these organisms have mitigated the rise of antibiotic resistance in their competitors. Dr. Wright studies the strategies that naturally antibiotic-producing bacteria have evolved to discourage the build-up of resistance, and how some bacteria have adapted to overcome antibiotics while paying a minimal price for resistance. The goal of this research is to develop new strategies for treating pathogens in the clinic, ultimately turning the tide against increasing antibiotic resistance.
Dr. Wright is interested in combatting infectious disease by better understanding how microorganisms evolve.

  Assistant Professor, Department of Biomedical Informatics

426 Bridgeside Point II
450 Technology Dr
Pittsburgh, PA 15219
412-383-4458
Selected Publications: 

Wright ES., Getting my feet wet., Science. 2017 Apr 7;356(6333):106. doi: 10.1126/science.356.6333.106. PMID: 28386014

Kayhan Batmanghelich

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Batmanghelich, Kayhan
Building efficient inference and computational tools to elucidate the statistical connections between imaging, genomics, and medical health records, to improve our understanding of human diseases.
Assistant Professor, Department of Biomedical Informatics

University of Pittsburgh School of Medicine

Curriculum Vitae

Room 517
5607 Baum Blvd
Pittsburgh
PA
15206
412-648-9037
Selected Publications: 

N. Batmanghelich, A. Saeedi, K. Narasimhan, S. Gershman, Nonparametric Spherical Topic Modeling with Word Embeddings. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL), pp 537-542, 2016. arXiv:1604.00126

N. Batmanghelich, A. Dalca, G. Quon, M. Sabuncu, P. Golland, Probabilistic Modeling of Imaging, Genetics and the Diagnosis. IEEE Transactions on Medical Imaging (TMI), pp 1765-1779, 2016.  PMID: 26886973 DOI: 10.1109/TMI.2016.2527784

N. Batmanghelich, A. Saeedi, M. Cho, R. Jose, P. Golland, Generative Method to Discover Genetically Driven Image Biomarkers. International Conference on Information Processing in Medical Imaging (IPMI), LNCS 9123, pp 30-42, 2015. PMID: 26221665 PMCID: PMC4527679

C. Wachinger, N. Batmanghelich, P. Golland, M. Reuter, BrainPrint in the Computer-Aided Diagnosis of Alzheimer's Disease. Challenge on Computer-Aided Diagnosis of Dementia. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2014.

N. Batmanghelich, M. Cho, R. Jose, P. Golland, Spherical Topic Models for Imaging Phenotype Discovery in Genetic Studies. Workshop on Bayesian and Graphical Models for Biomedical imaging, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), LNCS 8677, pp 107-117, 2014.

N. Batmanghelich, A. Dalca, M. Sabuncu, P. Golland, Joint Modeling of Imaging and Genetics. International Conference on Information Processing in Medical Imaging (IPMI), LNCS 7917, pp 766-777, 2013. PMID: 24684016 PMCID: PMC3979537

L. Bloy, M. Ingalhalikar, N. Batmanghelich, An integrated Framework for High Angular Resolution Diffusion Imaging-Based Investigation of Structural Connectivity. Brain Connectivity, 2(2), pp 69-19, 2012. doi:  10.1089/brain.2011.0070 PMCID: PMC3380149

N. Batmanghelich, B. Taskar, C. Davatzikos, Generative-Discriminative Basis Learning for Medical Imaging. IEEE Transactions on Medical Imaging (TMI), 31(1), pp 51-69, 2012. PMID: 21791408 PMCID: PMC3402718 DOI: 10.1109/TMI.2011.2162961

Y. Ghanbari, L. Bloy, N. Batmanghelich, R. Verma, Dominant Component Analysis of Electro-physiological Connectivity Network. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), pp 231-238, 2012. PMID: 23286135 PMCID: PMC4029114

N. Batmanghelich, D. Ye, B. Taskar, C. Davatzikos, Disease Classification and Prediction via semi-supervised Dimensionality Reduction. IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI), pp 1086-1090, 2011. DOI: 10.1109/ISBI.2011.5872590

C. Davatzikos, P. Bhatt, L. Shaw, N. Batmanghelich, J. Trojanowski, Prediction of MCI Conversion via MRI, CSF Biomarkers, and Pattern Classification. Neurobiology of Aging, 32(12), pp 2322.e192322.e27, 2010. PMID: 20594615 PMCID: PMC2951483 DOI: 10.1016/j.neurobiolaging.2010.05.023

N. Batmanghelich, B. Taskar, C. Davatzikos, Regularized Tensor Factorization for Multi-Modality Medical Image Classification. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), pp 17-24, 2011. PMID: 22003679

N. Batmanghelich, A. Gooya, B. Taskar, C. Davatzikos, Application of Trace-Norm and Low-Rank Matrix Decomposition for Computational Anatomy. IEEE Computer Society Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA), Computer Vision and Pattern Recognition Workshops (CVPRW), pp 146-153, 2010. DOI: 10.1109/CVPRW.2010.5543596

N. Batmanghelich, B. Taskar, C. Davatzikos, A General and Unifying Framework for Feature Construction, in Image-Based Pattern Classification. International Conference on Information Processing in Medical Imaging (IPMI), LNCS 5636, pp 423-434, 2009. PMID: 19694282

N. Batmanghelich, R. Verma, On Non-linear Characterization of Tissue Abnormality by Constructing Disease Manifolds. IEEE Computer Society Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA), Computer Vision and Pattern Recognition Workshops (CVPRW), pp 1-8, 2008. DOI: 10.1109/CVPRW.2008.4563027

Y. Fan, N. Batmanghelich, C. Clark, C. Davatzikos, Spatial Patterns of Brain Atrophy in MCI Patients, Identified via High-dimensional Pattern Classification, Predict Subsequent Cognitive Decline. NeuroImage, 39(4), pp 1731-43, 2008. PMID: 18053747 PMCID: PMC2861339 DOI: 10.1016/j.neuroimage.2007.10.031

H. Shariatpanahi, N. Batmanghelich, A. Kermani, M. Ahmadabadi, H. Soltanian-Zadeh, Distributed Behavior-based Multi-agent System for Automatic Segmentation of Brain MR Images. International Joint Conference on Neural Networks (IJCNN), pp 4535-4542, 2006. DOI: 10.1109/IJCNN.2006.247079

M. Karimi, N. Batmanghelich, H. Soltanian-Zadeh, C. Lucas, A 3-D Deformable Surface Method for Automatic Hippocampus-Amygdala Complex Segmentation. IEEE Nuclear Science Symposium Conference Record, 6, pp 3725-3729, 2004.DOI: 10.1109/NSSMIC.2004.1466690

N. Batmanghelich, H. Soltanian-Zadeh, B. Aarabi, Knowledge-based Segmentation: Using Simultaneous Shape Priori and Histogram Information to Segment Brain Structures. IASTED Conference on Signal and Image Processing, pp 15-17, 2005.

Donald P. Taylor, Ph.D., M.B.A.

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Taylor, Donald P.
Mechanisms of breast cancer metastatic latency through computational models and human 3D-perfused micro-scale tissue bioreactors.

Donald P. Taylor, PhD, MBA, is assistant vice chancellor for commercial translation in the health sciences; codirector of the Center for Commercial Applications of Healthcare Data and of the Clinical and Translational Science Institute; associate director of the Center for Medical Innovation; associate professor of biomedical informatics and of plastic surgery, School of Medicine; and associate professor of bioengineering, Swanson School of Engineering.

Assistant Vice Chancellor for Commercial Translation in the Health Sciences
Associate Professor, Department of Biomedical Informatics
Co-Director, Center for Commercial Applications of Healthcare Data
Co-Director, Clinical and Translational Science Institute, Innovation Core
Associate Director, Center for Medical Innovation
Associate Professor, Bioengineering
Associate Professor, Plastic Surgery
Faculty, McGowan Institute for Regenerative Medicine
University of Pittsburgh School of Medicine
Room 514
5607 Baum Boulevard
Pittsburgh, PA 15206
412-648-9324

David Boone, PhD

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Boone, David
Development and implementation of STEM outreach programs -Insulin-like Growth Factor 1 (IGF1) signaling in breast cancer -Regulation and function of long noncoding RNAs (lncRNAs) -Transcription and transcriptomics -Breast cancer biology
Department of Biomedical Informatics
Assistant Professor, Director of CoSBBI
Executive Director of the UPCI Academy
Department of Biomedical Informatics
University of Pittsburgh School of Medicine
Dr. Boone is an Assistant Professor of Biomedical Informatics and Director of the CoSBBI Summer Academy
Room 433
5607 Baum Boulevard
Pittsburgh
PA
412-648-7231
Selected Publications: 

King AJ, Fisher AM, Becich MJ, Boone DN. Computer science, biology and biomedical informatics academy: outcomes from 5 years of immersing high-school students into informatics research. J Pathol Inform [serial online] 2017 [cited 2017 Mar 1];8:2. Available from: http://www.jpathinformatics.org/text.asp?2017/8/1/2/201110

Nayak S, Harrington E, Boone DN, Hartmaier R, Pathiraja, T, Cooper K, Fine J, Sanfilippo J, Davidson N, Lee AV, Dabbs D, and Oesterreich S. A Role for Histone H2B Variants in Endocrine Resistant Breast Cancer. Hormones and Cancer. 2015  PUBMED 26113056

Farabaugh SM, Boone DN, and Lee AV. Role of IGF1R in breast cancer subtypes, stemness, and lineage differentiation.  Frontiers in Endocrinology. 2015. PUBMED 25964777

Zhang Q, Spears E, Boone DN, Li Z, Gregory M, and Hann S.  Domain specific c-Myc ubiquitylation controls c-Myc transcriptional and apoptotic activitysPNAS. 2012; 110(3):978-83. PUBMED 23277542

Boone DN and Lee AV. Targeting the Insulin-like Growth Factor Receptor: Developing Biomarkers from Gene Expression Profiling. Critical Reviews in Oncogenesis.  2012;17(2):161-73. PUBMED 22471706

Boone DN and Hann SR. The Myc-ARF-Egr1 Pathway: Unleashing Myc’s Apoptotic Power.  Cell Cycle.  2011 Jul1;10(13):2043-4.  PMC3234342

Boone DN, Qi Y, Li Z, and Hann S. Egr1 mediates p53-independent c-Myc-induced apoptosis via a noncanonical ARF-dependent transcriptional mechanism. PNAS. 2011 Jan 11;108(2):632-7.  PUBMED 21187408

Zhaoliang Li, Boone D, and Hann S.  Nucleophosmin interacts directly with c-Myc and controls c-Myc-induced hyperproliferation and transformationPNAS.  2008 Dec 2;105(48):18794-9. PUBMED 19033198

van Rheede T, Bastiaans T, Boone D, Hedges SB, de Jong W, and Madsen O.  2006. The platypus is in its place: nuclear genes and indels confirm the sister group relation of monotremes and therians. Mol. Biol. Evol. 23:587-597. PMID:19033198

Fuchiang (Rich) Tsui, PhD

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Tsui, Fu-Chiang (Rich)

Primary Appointment: 

Associate Professor, Department of Biomedical Informatics
Associate Professor of Intelligent Systems
Associate Professor of Bioengineering
Associate Professor of Clinical and Translational Science
Associate Director, RODS Laboratory
Dr. Tsui is Assistant Professor of Biomedical Informatics, Intelligent Systems, and Bioengineering. He is Associate Director of RODS Laboratory.
Room 437L
5607 Baum Blvd.
Pittsburgh
PA
15260
412-648-7182
412-648-9118

Ye Y, Wagner MM, Cooper GF, Ferraro JP, Su H, Gesteland PH, Haug PJ, Millett NE, Aronis JM, Nowalk AJ, Ruiz VM, López Pineda A, Shi L, Van Bree R, Ginter T, Tsui F. A study of the transferability of influenza case detection systems between two large healthcare systems. PLoS One (2017) Apr 5;12(4):e0174970. doi: 10.1371/journal.pone.0174970. eCollection 2017. PMID: 28380048 PMCID: PMC5381795

Arturo López Pineda, Ye Ye, Shyam Visweswaran, Gregory F. Cooper, Michael M. Wagner, Fuchiang Rich Tsui. Comparison of Machine Learning Classifiers for Influenza Detection from Emergency Department Free-text Reports. Journal of Biomedical Informatics. Available online 16 September 2015, ISSN 1532-0464. PMID: 26385375

http://dx.doi.org/10.1016/j.jbi.2015.08.019.(http://www.sciencedirect.com/science/article/pii/S1532046415001872)

Cooper, G. F., Villamarin, R., Tsui, F.-C. (Rich), Millett, N., Espino, J. U., & Wagner, M. M. (2015). A Method for Detecting and Characterizing Outbreaks of Infectious Disease from Clinical Reports. Journal of Biomedical Informatics, 53, 15–26. http://doi.org/10.1016/j.jbi.2014.08.011 PMID: 25181466 PMCID: PMC4441330

Rexit R, Tsui FC, Espino JU, Chrysanthis PK, Wesaratchakit S, Ye Y. An analytics appliance for identifying (near) optimal over-the-counter medicine products as health indicators for influenza surveillance. J Manager Infor Systems. 2015;48:151-63.

Draper AJ, Ye Y, Ruiz VM, Patterson C, Urbach A, Palmer F, Wang S, Somboonna M, Tsui F.-C., Using laboratory data for prediction of 30-day hospital readmission of pediatric seizure patients, Conference Proceedings, American Medical Informatics Association, Washington DC, Nov. 2014 (Distinguished award)

Tsui F-C, Adaptive Hospital Readmission Prediction System (AHRPS), Innovation in Healthcare Technology 2014, Pittsburgh, Feb. 14, 2014

Ye Y, Tsui FR, Wagner M, Espino JU, Li Q.  Influenza detection from emergency department reports using natural language processing and Bayesian network classifiers.  J Am Med Inform Assoc. 2014 Sept:21(5):815-823. (2014 Jan 9. doi: 10.1136/amiajnl-2013-001934. Epub ahead of print. PubMed PMID: 24406261.  PMCID:PMC in Process: Available on 09/01/2015.

Amin W, Tsui FC, Borromeo C, Chang CH, Espino JU, Ford D, Hwang W, Kapoor W, Lehmann H, Martich GD, Morton S, Paranjape A, Shirey W, Sorensen A, Becich MJ, Hess R. PaTH: towards a learning health system in the Mid-Atlantic region. J Am Med Inform Assoc.. 2014;21(4):63-6, PMID: 24821745 PMCID: PMC4078296

Lu S, Ye Y, Tsui FC, Liu X, Hwa R. Feature Selection for 30-Day Heart Failure Readmission Prediction Using Clinical Drug Data. NIPS workshop on Machine Learning for Clinical Data Analysis and Healthcare; 2013 Dec 10.

Lu S., Ye Y., Tsui F.-C., Su H., Rexit R., Wesaratchakit S., Hwa R., "Domain ontology-based feature reduction for high dimensional drug data and its application to 30-day heart failure readmission prediction," Collaborative Computing: Networking, Applications and Worksharing (Collaboratecom), 2013 9th International Conference Conference on, Austin, TX, 2013, pp. 478-484.

Villamarín R, Cooper G, Wagner M, Tsui FC, Espino JU. A method for estimating from thermometer sales the incidence of diseases that are symptomatically similar to influenza. Journal of Biomedical Informatics. 2013 Jun;46(3):444-57. PMID: 23501015 PMCID: PMC4609543

Pineda, A. L., Tsui, F.-C., Visweswaran, S., & Cooper, G. F. (2013). Detection of Patients with Influenza Syndrome Using Machine-Learning Models Learned from Emergency Department Reports. Online Journal of Public Health Informatics, 5(1), e41.

Liu TY, Sanders JL, Tsui FC, Espino JU, Dato VM, Suyama J. Association of over-the-counter pharmaceutical sales with influenza-like-illnesses to patient volume in an urgent care setting. PloS one. 2013;8(3):e59273. PMID: 23555647 PMCID: PMC3605458

M. Wagner et al., "A Decision-Theoretic Model of Disease Surveillance and Control and a Prototype Implementation for the Disease Influenza," Data Engineering Workshops (ICDEW), 2012 IEEE 28th International Conference on, Arlington, VA, 2012, pp. 49-54.
doi: 10.1109/ICDEW.2012.32

Que, J., & Tsui, F.-C. (2012). Spatial and Temporal Algorithm Evaluation for Detecting Over-The-Counter Thermometer Sale Increases during 2009 H1N1 Pandemic. Online Journal of Public Health Informatics, 4(1), ojphi.v4i1.3915. http://doi.org/10.5210/ojphi.v4i1.3915 PMID: 23569624 PMCID: PMC3615801

Pages

Uma Chandran, PhD, MSIS

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Chandran, Uma
Dr. Chandran's interests include genomic data mining, Next Generation Sequencing data analysis, integrative analysis of The Cancer Genome Atlas Project (TCGA) and development of computing infrastructure for large genomics datasets
Room 513
5607 Baum Boulevard
Pittsburgh, PA 15206
412-648-9326

Concha-Benavente F, Srivastava RM, Trivedi S, Lei Y, Chandran U, Seethala RR, Freeman GJ, Ferris RL. Identification of the Cell-Intrinsic and -Extrinsic Pathways Downstream of EGFR and IFNy That Induce PD-L1 Expression in Head and Neck Cancer. Cancer Research. 2016 Mar 1;76(5):1031-43. PMID:26676749.

Frahm KA, Peffer ME, Zhang JY, Luthra S, Chakka AB, Couger MB, Chandran UR, Monaghan AP, DeFranco DB. Research Resource: The Dexamethasone Transcriptome in Hypothalamic Embryonic Neural Stem Cells. Molecular Endocrinology (Baltimore, Md.). 2016 Jan;30(1):144-54. PMID: 26606517

Gau DM, Lesnock JL, Hood BL, Bhargava R, Sun M, Darcy K, Luthra S, Chandran U, Conrads TP, Edwards RP, Kelley JL, Krivak TC, Roy P. (2015). BRCA1 deficiency in ovarian cancer is associated with alteration in expression of several key regulators of cell motility – A proteomics study. Cell Cycle, 14(12), 1884–1892. http://doi.org/10.1080/15384101.2015.1036203 PMID: 25927284 PMCID: PMC4614952

McDade KK, Chandran U, Day RS. Improving Cancer Gene Expression Data Quality through a TCGA Data-Driven Evaluation of Identifier Filtering. Cancer Informatics, 2015. PMID: 26715829 PMCID: PMC4686346

Chandran, U. R., Luthra, S., Santana-Santos, L., Mao, P., Kim, S.-H., Minata, M., Li J, Benos PV, DeWang M, Hu B, Cheng SY, Nakano I, Sobol RW. (2015). Gene expression profiling distinguishes proneural glioma stem cells from mesenchymal glioma stem cells. Genomics Data, 5, 333–336. http://doi.org/10.1016/j.gdata.2015.07.007 PMID: 26251826 PMCID: PMC4523279

Manohar R, Li Y, Fohrer H, Guzik L, Stolz DB, Chandran UR, LaFramboise WA, Lagasse E.  (2015). Identification of a candidate stem cell in human gallbladder. Stem Cell Research, 14(3), 258–269. http://doi.org/10.1016/j.scr.2014.12.003  PMID:  25765520 PMCID: PMC4439375

Geskin A, Legowski E, Chakka A, Chandran UR, Barmada MM, LaFramboise WA, Berg J, Jacobson RS. (2015). Needs Assessment for Research Use of High-Throughput Sequencing at a Large Academic Medical Center. PLoS ONE, 10(6), e0131166. http://doi.org/10.1371/journal.pone.0131166 PMID: 26115441 PMCID: PMC4483235

Liao S, Hartmaier RJ, McGuire KP, Puhalla SL, Luthra S, Chandran UR, Ma T, Bhargava R, Modugno F, Davidson NE, Benz S, Lee AV, Tseng GC, Oesterreich S. (2015). The molecular landscape of premenopausal breast cancer. Breast Cancer Research : BCR, 17(1), 104. http://doi.org/10.1186/s13058-015-0618-8 PMID: 26251034 PMCID: PMC4531812

Sikora MJ, Cooper KL, Bahreini A, Luthra S, Wang G, Chandran UR, Davidson NE, Dabbs DJ, Welm AL, Oesterreich S. (2014). Invasive lobular carcinoma cell lines are characterized by unique estrogen-mediated gene expression patterns and altered tamoxifen response. Cancer Research, 74(5), 1463–1474. http://doi.org/10.1158/0008-5472.CAN-13-2779 PMID: 24425047 PMCID: PMC3955299

Risinger JI, Allard J, Chandran U, Day R, Chandramouli GV, Miller C, Zahn C, Oliver J, Litzi T, Marcus C, Dubil E, Byrd K, Cassablanca Y, Becich M, Berchuck A, Darcy KM, Hamilton CA, Conrads TP, Maxwell GL. Gene expression analysis of early stage endometrial cancers reveals unique transcripts associated with grade and histology but not depth of invasion. Front Oncol. 2013 Jun 17; 3:139. PMID: 23785665. PMCID: PMC3683664. doi: 10.3389/fonc.2013.00139

Maxwell GL, Allard J, Gadisetti CV, Litzi T, Casablanca Y, Chandran U, Darcy KM, Levine DA, Berchuck A, Hamilton CA, Conrads TP, Risinger JI. Transcript expression in endometrial cancers from Black and White patients. Gynecol Oncol. 2013 Jul; 130(1):169-73. PMID: 23603370. doi: 10.1016/j.ygyno.2013.04.017

Mao P, Joshi K, Li J, Kim SH, Li P, Santana-Santos L, Luthra S, Chandran UR, Benos PV, Smith L, Wang M, Hu B, Cheng SY, Sobol RW, Nakano I. Mesenchymal glioma stem cells are maintained by activated glycolytic metabolism involving aldehyde dehydrogenase 1A3. Proc Natl Acad Sci U S A. 2013 May 21;110(21):8644-9. PMID: 23650391. PMCID: PMC3666732. doi: 10.1073/pnas.1221478110

LaFramboise WA, Dhir R, Kelly LA, Petrosko P, Krill-Burger JM, Sciulli CM, Lyons-Weiler MA, Chandran UR, Lomakin A, Masterson RV, Marroquin OC, Mulukutla SR, McNamara DM. Serum protein profiles predict coronary artery disease in symptomatic patients referred for coronary angiography. BMC Med. 2012 Dec 5; 10:157. PMID: 23216991. PMCID: PMC3566965. doi: 10.1186/1741-7015-10-157

Li J, Luthra S, Wang XH, Chandran UR, Sobol RW. Transcriptional profiling reveals elevated Sox2 in DNA polymerase ß null mouse embryonic fibroblasts. Am J Cancer Res. 2012; 2(6):699-713. Epub 2012 Nov 20. PMID: 23226616. PMCID: PMC3512183

Day RS, McDade K, Grover H, Luthra S, Chandran U, Lisovich A. Bioinformatic Data Integration to Assess Data Preprocessing. In: Proceedings of the AMIA Joint Summit on Translational Science; 2012 Mar 19-21; San Francisco, CA.

Pages

Songjian Lu, PhD

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Lu, Songjian
Using computational method to search for driver somatic genome alterations, such as somatic mutations, copy number alterations, that are related to cancer development. Formulating the biological problems into graph or statistical problems. Designing efficient exact algorithms for the hard computational problems.

Publications

 

Assistant Professor, Department of Biomedical Informatics
University of Pittsburgh School of Medicine
Room 512
5607 Baum Boulevard
Pittsburgh, PA 15206
412-648-9543
412-624-5310
Selected Publications: 

Lu, S., Jin, B., Cowart, LA., and Lu, X (2013) From data towards knowledge: Revealing the architecture of signaling systems by unifying knowledge mining and data mining of systematic perturbation data. PLoS One 8(4): e61134  PMID: 23637789 PMCID: PMC3634064

Gerald Douglas, PhD

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Douglas, Gerald
Health informatics in medically underserved populations, eHealth policy/strategy, Financial models of health information systems, Global health informatics, Quality improvement, Human-computer interaction, and Point-of-care computing
Dr. Douglas is an Assistant Professor focusing on Health Informatics for the Underserved.
Assistant Professor, Department of Biomedical Informatics
Assistant Professor of Health Policy & Management
Director of Center for Health Informatics for the Underserved
University of Pittsburgh School of Medicine
Room 519
5607 Baum Boulevard
Pittsburgh, PA 15206
412-648-9323
Selected Publications: 

Fisher, A., Ding, M., Hochheiser, H., Douglas, G. (2016) Measuring time utilization of pharmacists in the Birmingham Free Clinic dispensary. BMC Health Services Research 16(1-7)     DOI: 10.1186/s12913-016-17

Landis-Lewis, Z., Douglas, G. P., Hochheiser, H., Kam, M., Gadabu, O., Bwanali, M., & Jacobson, R. S. (2015). Computer-Supported Feedback Message Tailoring for Healthcare Providers in Malawi: Proof-of-Concept. AMIA Annual Symposium Proceedings, 2015, 814–823.

Landis-Lewis, Z., Brehaut, J. C., Hochheiser, H., Douglas, G. P., & Jacobson, R. S. (2015). Computer-supported feedback message tailoring: theory-informed adaptation of clinical audit and feedback for learning and behavior change. Implementation Science, 10(1), 1.

Driessen J, Cioffi M, Alide N, Landis-Lewis Z, Gamadzi G, Gadabu OJ, Douglas G. Modeling return on investment for an electronic medical record system in Lilongwe, Malawi. Journal of the American Medical Informatics Association: JAMIA. 2012 Nov 9. PMCID: PMC3721156. PMID: 23144335.

Gadabu OJ, Munthali CV, Zacharaiah R, Gudmund-Hinderaker S, Jahn A, Twea H, Gondwe A, Mumba S, Lungu M, Malisita K, Mhango E, Makombe SD, Tenthani L, Mwalwanda L, Moyo C, Douglas GP, Landis-Lewis Z, Chimbwandira F. Is transcription of data on antiretroviral treatment from electronic to paper-based registers reliable in Malawi? Public Health Action. 2011 Sep; 1 (1):10-12(3).

Allain TJ, van Oosterhout JJ, Douglas GP, Joukes S, Gadabu OJ, Darts C, Kapur A, Harries AD. Applying lessons learnt from the ‘DOTS’ Tuberculosis Model to monitoring and evaluating persons with diabetes mellitus in Blantyre, Malawi. Tropical medicine & international health : TM & IH. 2011 Jun 27; 16 (9):1077-84. PMID: 21702868.

Landis-Lewis Z, Mello-Thoms C, Gadabu OJ, Gillespie M, Douglas GP, Crowley RS. The Feasibility of Automating Audit and Feedback for ART Guideline Adherence in Malawi. J Am Med Inform Assoc. 2011 May 12; 18 (6):868-74. PMCID: PMC3197989. PMID: 21565857.

Douglas GP, Gadabu OJ, Joukes S, Mumba S, McKay MV, et al. Using touchscreen electronic medical record systems to support and monitor national scale-up of antiretroviral therapy in Malawi.PLoS Med. 2010 Aug 10;7(8). pii: e1000319. doi: 10.1371/journal.pmed.1000319. PMCID: PMC2919419

Waters E, Rafter J, Douglas GP, Bwanali M, Jazayeri D, et al. Experience Implementing a Point-of-Care Electronic Medical Record System for Primary Care in Malawi. Medinfo 2010. In Press. PMID: 20841657

Landis Lewis Z, Douglas GP, Monaco V. Touchscreen task efficiency and learnability in an electronic medical record at the point-of-care. Medinfo 2010. In Press. PMID: 20841658

Waters E, Rafter J, Maganga RT, Fraser HSF, Douglas GP, et al. Integration of a touchscreen system for patient registration and primary care data collection with OpenMRS at Neno district hospital, Malawi. AMIA Annu Symp Proc 2009;107.

Douglas GPEngineering an EMR system in the developing world: necessity is the mother of invention. PhD dissertation. Pittsburgh (PA): University of Pittsburgh; 2009.

Fraser HS, Allen C, Bailey C, Douglas G, Shin S, Blaya J. Information systems for patient follow-up and chronic management of HIV and tuberculosis: a life-saving technology in resource-poor areas. Journal of medical Internet research. 2007; 9 (4):e29. PMCID: PMC2223184. PMID: 17951213.

Xinghua Lu, MD, PhD, MS

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Lu, Xinghua
Computational methods for identifying signaling pathways underlying biological processes and diseases, statistical methods for acquiring knowledge from biomedical literature, translational bioinformatics and systems/computational biology, natural language processing and text mining.
Dr. Lu’s research focuses on the computational methods for identifying signaling pathways underlying biological processes and diseases as well as Statistical methods for acquiring knowledge from biomedical literature.
Professor of Biomedical Informatics
Biomedical Informatics Training Program Core Faculty
University of Pittsburgh School of Medicine
Room 525
5607 Baum Boulevard
Pittsburgh, PA 15206
412-624-3303
412-624-5310
Selected Publications: 
Vicky Chen, John Paisley and  Xinghua Lu.  Revealing common disease mechanisms shared by tumors of different tissues of origin through semantic representation of genomic alterations and topic modeling.  BMC Genomics 2017 18(Suppl2):105. DOI: 10.1186/s12864-017-3494-z

Cooper GF, Bahar I, Becich MJ, Benos PV, Berg J, Espino JU, Jacobson RC, Kienholz M, Lee AV, Lu X, Scheines R, Center for Causal Discovery team. The Center for causal discovery of biomedical knowledge from Big Data. Journal of the American Medical Informatics Association 2015 Jul 2. pii: ocv059. doi: 10.1093/jamia/ocv059. [Epub ahead of print]  PMID: 26138794

Ogoe, HA, Visweswaran, S, Lu, X, Gopalakrishnan, V.  (2015) Knowledge transfer via classification rules using functional mapping for integrative modeling of gene expression data.  BMC Bioinformatics 16:226 (designated as a Highly Accessed paper) PMID: 26202217 PMCID: PMC4512094

Jiang X, Cai B, Xue D, Lu X, Cooper GF, Neapolitan RE. A comparative analysis of methods for predicting clinical outcomes using high-dimensional genomic datasets. Journal of the American Medical Informatics Association (2014). Oct;21(e2):e312-9. doi: 10.1136/amiajnl-2013-002358. Epub 2014 Apr 15.  PMID: 24737607 PMC4173174

Cai C, Chen L, Jiang X, Lu X. Integrating protein phosphorylation and gene expression data to infer signaling pathways. Cancer Informatics Supplement on Cancer Clinical Information Systems. 2014; 13(s1): 59-67. doi: 10.4137/CIN.S13883

Lu, S., Jin, B., Cowart, LA., and Lu, X (2013) From data towards knowledge: Revealing the architecture of signaling systems by unifying knowledge mining and data mining of systematic perturbation data. PLoS One 8(4): e61134  PMID: 23637789 PMCID: PMC3634064

David J. Montefusco, Lujia Chen, Nabil Matmati, Songjian Lu, Benjamin Newcomb, Gregory F. Cooper, Yusuf A. Hannun, and Xinghua Lu.  Science Signaling, 6(299): p. rs14 [DOI: 10.1126/scisignal.2004515] http://stke.sciencemag.org/cgi/content/full/sigtrans;6/299/rs14

Zhao, Z., Shen, B., Lu, X., and Vongsangnak, W (2013) Translational Biomedical Informatics and Computational Systems Medicine. BioMed Research International, vol. 2013, Article ID 237465, 2013. doi:10.1155/2013/237465

Montefusco, D., Chen, L, Matmati, N., Lu, S., Newcomb, B., Cooper, GF., Hannun, YA., Lu, X., (2013) Distinct signaling roles of ceramide species in yeast revealed through systematic perturbation and integromics analyses. Science Signaling 6:rs14

Osmanbeyoglu, H, Lu, K., Oesterreich, S, Day, RS, Benos, PV, Coronnello, C., and, Lu, X (2013) Estrogen represses gene expression through chromatin reconfiguration. Nucleic Acid Research 41(17): 8061-8071

Chen, V and Lu, X (2013) Conceptualization of molecular findings by mining gene annotations. BMC Proceedings 7(Suppl 7):S2

Mowrey, D., Cheng, M., Liu, L., Willenbring, D., Lu, X., Wymore, T., Xu, Y., and Tang, P.. (2013) Asymmetric ligand binding facilitates conformational transitions in pentameric ligand-gated ion channels. J Am Chem Soc. 135(6):2172-80. PMCID: PMC3582375

Lu, S., and Lu, X (2013) Using graph model to find transcription factor modules: the hitting set problem and an exact algorithm. Algorithms for Molecular Biology 8:2 PMCID: PMC3622577

Lu, S. and Lu, X (2012) Integrating genome and functional genomics data to reveal perturbed signaling pathways in ovarian cancers. Proceedings of AMIA Summit on Translational Bioinformatics, San Francisco.

Qin, T., Tsoi, LC., Sims KJ, Lu, X and Zheng, WJ (2012) Signaling network prediction using the ontology fingerprint enhanced Bayesian networks. BMC Systems Biology 6 (Suppl 3) : S3 (co-corresponding author)

Richards, A., Schwacke, J., Rohrer, B., Cowart, LA. and Lu, X (2012) Revealing functionally coherent gene subset using spectral clustering and information integration approaches. BMC Systems Biology 6 (Suppl 3) : S7

Osmanbeyoglu, H, Hartmaier, R., Oesterreich, S., and Lu, X. (2012) Improving ChIP-seq peak-calling for functional indirect co-regulator binding by integrating multiple sources of biological information. BMC Genomics 13(Suppl 1):S1

Feng, H, Hu, B, Liu, KW, Lu, X, Yiin, JJ, Lu, S, Keezer, S, Fenton, T, Furnari, FB, Hamilton, RL, Vuori, K, Nagane, M, Nishikawa, R, Cavenee, WK and Cheng, SY (2012) Aberrant Activation of Rac1 by Src-dependent Phosphorylation of Dock180Y1811 Mediates PDGFRα-stimulated Glioma Growth and Invasion. Journal of Clinical Investigation 121(12):4670–4684

Lu, S and Lu, X (2011). A graph model and an exact algorithm for finding cooperative transcription factor modules. Proceedings of ACM Bioinformatics and Computational Biology 2011

Jin, B., Chen, V., Chen, L., and Lu, X. (2011) Mapping annotations with textual evidence using an scLDA model. Proceedings of AMIA Annual Symposium, Washington DC

Jin, B. and Lu, X (2010). Identifying informative subsets of the Gene Ontology with information bottleneck methods. Bioinformatics 26 (19): 2445-2451

Cowart, LA., Shotwell, M., Worley, ML.,  Richards, AJ, Montefusco, DJ, Hannun YA, and Lu, X. (2010) Revealing a signaling role of PHS1P in yeast using integrative systems approaches.  Molecular Systems Biology 6:349 PMID: 20160710(Selected for presentation at the Highlight Track of ISMB 2010 as a major advance in the field)

Richards*, AJ, Muller, B., Shotwell, M, Cowart, LA, Rohrer, B, and Lu, X (2010) Assessing the functional coherence of gene sets with metrics based on the Gene Ontology graph.  Bioinformatics, supplement issue for the Proceedings for the Intelligent Systems in Molecular Biology (ISMB) 2010 (19% acceptance) PMID: 20529941

Zheng*, B. and Lu, X (2009) Application of semantic modeling in bioinformatics domain.  In: Data Management in Semantic Web, Ed. Jin, H. and Lv, Z,.  Nova Science Publishers, Inc.

Jin*, B and Lu, X (2009) Enhancing GO-graph-based multi-label classification using semantic-rich GO terms.   Proceedings of the Annual Meeting of the ISMB BioLINK Workshop 2009

Muller*, B., Richards, AJ., Jin, B., Lu, X. (2009) GOGrapher; A Python library for GO graph representation and analysis.  BMC Research Notes 2:122 PMID:19583843

Xia Jiang, PhD

Directory Listing Information
Jiang, Xia
Dr. Jiang has over 13 years of teaching and research experience in Bayesian Network modeling, machine learning, and algorithm design. She is the coauthor of the book “Probabilistic Methods for Financial and Marketing Informatics” published by Morgan Kaufmann in 2007 (http://www.amazon.com). She is currently focusing on developing novel algorithms/systems that improve the computational efficiency of high-dimensional data analysis, and network modeling of cancer genome data.
Dr. Jiang's research focuses on developing novel algorithms/systems that improve the computational efficiency of high-dimensional data analysis, and network modeling of cancer genome data.
Associate Professor, Department of Biomedical Informatics
Biomedical Informatics Training Program Core Faculty
University of Pittsburgh School of Medicine
Selected Publications: 

Jiang X, Visweswaran S, Neapolitan RE. Mining Epistatic Interactions from High-Dimensional Data Sets Using Bayesian Networks. In: Holmes D, Jain L, editors. Foundations and Intelligent Paradigms-3. Berlin, Heidelberg: Springer-Verlag, 2011.

Neapolitan RE, Jiang X. A Note of Caution on Maximizing Entropy. Entropy. 2014; 16 (7):4004-14. doi: 10.3390/e16074004.

Neapolitan RE, Xue D, Jiang X. Modeling the Altered Expression Levels of Genes on Signaling Pathways in Tumors as Causal Bayesian Networks. Cancer Informatics. 2014; 13:77-84. PMCID: PMC4051800. doi: 10.4137/CIN.S13578.

Jiang X, Cai B, Xue D, Lu X, Cooper GF, Neapolitan RE. A comparative analysis of methods for predicting clinical outcomes using high-dimensional genomic datasets. Journal of the American Medical Informatics Association (2014). Oct;21(e2):e312-9. doi: 10.1136/amiajnl-2013-002358. Epub 2014 Apr 15.  PMID: 24737607 PMC4173174

Cai B, Jiang X. Novel Artificial Neural Network Method for Biomedical Prediction based on Matrix Pseudo-Inversion. Journal of Biomedical Informatics. 2014 Apr; 48:114-21. doi: 10.1016/j.jbi.2013.12.009.

Jiang X, Xue D, Brufsky AM, Khan SA, Neapolitan RE. A new method for predicting patient survivorship using efficient Bayesian network learning. Cancer Informatics. 2014; 13 (2):47-57. PMCID: PMC3928477. PMID: 24558297[PubMed]. doi: 10.4137/CIN.S13053.

Neapolitan RE, Jiang X. Inferring Aberrant Signal Transduction Pathways in Ovarian Cancer from TCGA Data. Cancer Informatics Supplement on Cancer Clinical Information Systems. 2014; 13(s1): 29-36. doi: 10.4137/CIN.S13881

Cai C, Chen L, Jiang X, Lu X. Integrating protein phosphorylation and gene expression data to infer signaling pathways. Cancer Informatics Supplement on Cancer Clinical Information Systems. 2014; 13(s1): 59-67. doi: 10.4137/CIN.S13883

Neapolitan RE, Jiang X. Contemporary Artificial Intelligence. 1st ed. Boca Raton, FL: Chapman and Hall/CRC, 2012.

Jiang X, Neapolitan RE. Mining Strict Epistatic Interactions From High-Dimensional Datasets: Ameliorating the Curse of Dimensionality. PLoS ONE. 2012; 7 (10):e46771. PMCID: PMC3470561. PMID: 23071633

Jiang X, Barmada MM, Becich MJEvaluating de novo locus-disease discoveries in GWAS using the signal-to-noise ratio. AMIA Annu Symp Proc. 2011;2011:617-24. Epub 2011 Oct 22. PMID: 22195117 

Jiang, X., R.E. Neapolitan, M.M. Barmada, S.Visweswaran. Learning genetic epistasis using Bayesian network scoring criteria. BMC Bioinformatics; 2011: 12(89). PMCID: PMC3080825

Jiang X, Neapolitan RE, Barmada M, Visweswaran S, Cooper GF.   A fast algorithm for learning epistatic genomic relationships.  In: Proceedings of the Annual Symposium of the American Medical Informatics Association (2010) 341-345. PMID: 21346997 PMC3041370

Jiang, X., M. M. Barmada, and S. Visweswaran, “Identifying Genetic Interactions in Genome-Wide Data Using Bayesian Networks”, Vol. 34, No. 6 (September, 2010), p 575-81, Genetic Epidemiology.PMID: 20568290 [PubMed in process]

Chakrabarti, S., Jiang X., et al. Data Mining: Know It All, Morgan Kaufmann, Burlington, MA, 2009

Jiang X, Cooper GF. Modeling the Temporal Trend of the Daily Severity of an Outbreak using Bayesian Networks. In: Holmes DE, Jain LC, editors. Innovations in Bayesian Networks of Studies in Computational Intelligence. NY: Springer-Verlag, 2008.

Neapolitan RE, Jiang X. Probabilistic Methods for Financial and Marketing Informatics. San Mateo, CA: Morgan Kaufmann, 2007.

Neapolitan RE, Jiang X. A Tutorial on Learning Casual Influences. In: Holmes DE, Jain LC, editors. Innovations in Machine Learning. NY: Springer-Verlag, 2006

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