Jason H. Moore, Ph.D., FACMI

Director of Institute for Biomedical Informatics

Jason is the director of the Penn Institute for Biomedical Informatics which includes the CIC as well as the Bioinformatics Core and the Idea Factory facility. His background and expertise is at the intersection of computer science, statistics, and the biological sciences with a focus on genetics and genomics. He also 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.





Yancy Lo, Ph.D.

Data Scientist

Yancy is a data scientist at the CIC.  She has a background in statistical and population genetics.  She received her Ph.D in Biostatistics from the University of Michigan.  Prior to joining CIC she was a postdoctoral researcher in the Department of Genetics at Penn. She has extensive experience in high-dimensional data research, with expertise in methods and applications of NGS data for understanding human diseases and complex traits. She currently focuses on the analysis, integration and visualization of clinical and genomics data. Outside of work she enjoys playing music and board games.





Sunil Thomas, M.B.A./T.M.

Data Wrangler

Sunil is embedded within the Penn Medicine Data Analytics Center.  He has the ability to query and reformat data from Penn Data Store and Epic.  He also has much knowledge about data resources throughout the health system.  His background is in Business and Information Technology. Prior to joining CIC he worked as Senior Data Analyst with the UPHS PERIOP Surgery department.






Selah Lynch, M.S.

Data Science Navigator

Selah does project management and data science for the CIC.  She has a background in physics and computer science.  She received her Master’s degree in Computer Information Technology from the University of Pennsylvania.  Prior to joining CIC she worked at the School of Arts and Sciences doing natural language processing and statistical analysis on Twitter data as part of the World Well Being Project. Outside of work she plays ultimate frisbee and loves to cook.





Riley Wong

Data Scientist

Riley Wong conducts machine learning and data science research at the Clinical Research Informatics Core (CIC) of the Institute for Biomedical Informatics. They graduated from the University of Pennsylvania in 2017 in computer science. They have a background in software engineering, natural language processing, and machine learning. They are passionate about social impact and community building and enjoy music and art.