Jason H. Moore, Ph.D.
Dr. Moore is the scientific director and principle investigator of EBIC. His background and expertise is at the intersection of computer science, statistics, and the biological sciences with a focus on genetics and genomics. He leads the NIH-funded Computational Genetics Laboratory that develops innovative computational methods for solving complex problems across the biomedical sciences using artificial intelligence, machine learning, and visual analytics. He also serves as director of the Penn Institute for Biomedical Informatics.
Zhiping (Paul) Wang, Ph.D.
Dr. Wang is the technical director for EBIC. He has a Ph.D. in Computer Science from Indiana University and has more than 10 years of experience working in the development and application of bioinformatics methods and pipelines for the analysis of next-generation sequence data. Dr. Wang is available to meet with CEET investigators to discuss and manage environmental health science projects that need bioinformatics support.
Curt Calafut, B.S.
Mr. Calafut has more than 10 years of experience managing complex computer systems. He is available to assist with all aspects of systems administration for CEET investigators.
Tom Caldwell, B.S.
Mr. Cadlwell is trained in computer science with more than 20 years of experience developing relational databases for complex data. He is available to assist with all aspects of database development for CEET investigators.
Jerome Lin, M.S.
Mr. Lin was trained in the Department of Human Genetics, University of Pittsburgh, focusing on bioinformatics research. He has extensive experience in bioinformatics, machine learning, and protein research etc.
Josh Cohen, B.S.
Mr. Cohen is the software developer for EBIC. He contributes to the in-house development of software and visualization solutions. He also helps to add new data browsing functionality to the front end UI of biomedical exposure data websites.
Selah Lynch, M.S.
Ms. Lynch is trained in computer and information sciences at the University of Pennsylvania and is an expert in the retrieval and analysis of clinical data from the Electronic Health Record. She has considerably experience with data cleaning, data integration, and data analysis using machine learning and visual analytics.