Lujia Chen

• Assistant Professor
• Department of Biomedical Informatics, University of Pittsburgh School of Medicine

Phone: 412-624-5100

Email: luc17@pitt.edu

CV, Google Scholar, Linkedin

Han Zhang

My research interest focuses on statistical learning and bioinformatics method in cancer genomics, particularly for immunology related research.

Email: haz96@pitt.edu

Google Scholar

Anwaar Saeed, MD

• Associate Professor of Medicine
• Chief, Gastrointestinal Medical Oncology Program

Anwaar Saeed, MD, is an Associate Professor of Medicine and the Chief of the Gastrointestinal (GI) Medical Oncology Program at the University of Pittsburgh, University of Pittsburgh Medical Center (UPMC), and UPMC Hillman Cancer Center. She also serves as the Vice Chair of the Colorectal Cancer Committee of the NSABP Foundation.

Dr. Xinghua Lu

• Professor
• Department of Biomedical Informatics, University of Pittsburgh School of Medicine

Currently, Dr. Lu is working on developing his research in translational bioinformatics and systems/computational biology and its application to specific domains relevant to human disease. He is pursuing collaboration in the area of natural language processing and text mining with the eventual goal of establishing a Center or Institute in Translational Bioinformatics.

Dr. Lokesh Sharma

• Assistant Professor of Medicine
• University of Pittsburgh School of Medicine

My research aims to identify cellular and molecular mechanisms that provide an advantage to the host by either promoting the pathogen clearance or limiting the pathogen induced tissue damage. My research aims to identify these mechanisms in settings of compromised host such as a host with viral infection or during aging process.

Dr. Yifan Yuan

• Assistant Professor
• Department of Medicine, University of Maryland

The research in my lab focuses on integrating whole organ tissue engineering, computational biology, systems biology, and biomaterials to develop in vitro modeling systems to elucidate biological mechanisms during disease and development. There are two main research areas: 1) Leveraging multi-omics and molecular biology tools to delineate molecular mechanisms in the lung vascular niche during homeostasis and diseases; 2) Incorporating decellularization/recellularization, bioreactors, multi-omics, and human iPSC to develop vascular and alveolar tissue models for drug screening applications.

Dr. Gregory Cooper

• Distinguished Professor and UPMC Endowed Chair
• Department of Biomedical Informatics, University of Pittsburgh School of Medicine

Application of decision theory, probability theory, Bayesian statistics, and artificial intelligence to biomedical informatics research problems
Causal modeling and discovery from clinical and omics data
Computer-aided medical diagnosis and prediction
Machine-learning approaches to improving patient safety
Biosurveillance of disease outbreaks