Primary Faculty

All A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

Harry Hochheiser, PhD

Assistant Professor, Department of Biomedical Informatics
Assistant Professor in the Intelligent Systems Program
Associate Director, Biomedical Informatics Training Program
University of Pittsburgh School of Medicine
Interests:
Dr. Hochheiser’s research focuses on the design of usable systems for use in clinical and research settings. He is particularly interested in using user-centered design techniques to inform the design of highly-interactive information visualization systems for the interpretation of complex data sets in domains such as bioinformatics and health care. Dr. Hochheiser is currently working on the development of user-centered tools for annotating, searching, and browsing of biomedical data in online repositories. As part of the FaceBase (www.facebase.org) project, he is working on the design, implementation, and evaluation of highly-interactive tools for exploring genomic, genetic, demographic, and phenotypic data sets from craniofacial research, with ultimate goal of developing tools and techniques that can be applied to a other domains.

Rebecca S. Jacobson, MD, MS

Professor, Department of Biomedical Informatics,
Director, Biomedical Informatics Graduate Training Program
University of Pittsburgh School of Medicine
Interests:
Natural Language Processing, Deep Phenotyping, Information Extraction, Cancer Informatics, Clinical Research Informatics, Translational Informatics, Learning Health Systems, Personalized Medicine, Federated Data and Tissue Sharing

Xia Jiang, PhD

Associate Professor, Department of Biomedical Informatics
Biomedical Informatics Training Program Core Faculty
University of Pittsburgh School of Medicine
Interests:
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.

Songjian Lu, PhD

Assistant Professor, Department of Biomedical Informatics
University of Pittsburgh School of Medicine
Interests:
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.

Xinghua Lu, MD, PhD, MS

Professor of Biomedical Informatics
Biomedical Informatics Training Program Core Faculty
University of Pittsburgh School of Medicine
Interests:
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.

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

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
Interests:
Mechanisms of breast cancer metastatic latency through computational models and human 3D-perfused micro-scale tissue bioreactors.

Fuchiang (Rich) Tsui, PhD

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
Biomedical Informatics Training Program Core Faculty, University of Pittsburgh School of Medicine
Interests:
Clinical informatics, public health informatics, biosurveillance, mobile healthcare, machine learning, (big) data mining, artificial intelligence, natural language processing, precision medicine, data warehouse, time series analysis, signal processing, and large real-time production systems.

Shyam Visweswaran, MD, PhD

Associate Professor, Department of Biomedical Informatics
Associate Professor of Intelligent Systems, Clinical and Translational Science, and Computational Biology
Director of Clinical and Translational Informatics, Department of Biomedical Informatics
Co-Director, Informatics Component, Clinical and Translational Science Institute
Director, Center for Clinical Research Informatics
Co-Director, Kimball Family Center for Clinical Informatics
Biomedical Informatics Program Director of the Medical Scientist Training Program
Biomedical Informatics Training Program Core Faculty

University of Pittsburgh School of Medicine

Interests:
Application of artificial intelligence, machine learning, data mining and Bayesian methods to problems in clinical medicine and bioinformatics, data mining of biomedical data, patient-specific predictive modeling, medical anomaly detection, decision support systems, personalized medicine and genomic medicine.

Michael M. Wagner, MD, PhD

Vice Chairman, Population Informatics
Director, RODS Laboratory
Professor of Biomedical Informatics and Intelligent Systems
Biomedical Informatics Training Program Core Faculty
University of Pittsburgh School of Medicine
Interests:
Dr. Wagner’s research focuses on real-time methods for detecting and characterizing disease outbreaks, including the development and testing of operational biosurveillance systems. In his role as director of the RODS Laboratory, Dr. Wagner led the development and implementation of two widely used biosurveillance systems: the RODS system and the National Retail Data Monitor (NRDM). Currently, Dr. Wagner is developing a third system called BioEcon. BioEcon is a decision analytic tool for use by analysts working in health departments. BioEcon is a logical extension of Dr. Wagner’s research in biosurveillance. BioEcon addresses the problem of what is the optimal action to take in response to incoming biosurveillance data.

Erik S. Wright, PhD, MS

  Assistant Professor, Department of Biomedical Informatics

Interests:
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.

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