Danielle L. Mowery, Ph.D., M.S., M.S., FAMIA
Dr. Mowery is the core director of the CIC, the chief research information officer for Penn Medicine, and an assistant professor of informatics. Prior to this position, Dr. Mowery completed postdoctoral training at the University of Utah and informatics training at the University of Pittsburgh. She has extensive experience in clinical data science, applied informatics, machine learning, and natural language processing. She focuses on deep phenotyping and predictive modeling for clinical and translational research studies conducted to understand disease burden, assess treatment efficacy, facilitate clinical decision making, and optimize clinical outcomes among patients. Outside of work, she enjoys playing with her dog, attending concerts, and traveling with family.
Selah Lynch, M.S.
Selah is skilled in data science and supervised machine learning 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.
Emily Schriver, M.S.
Translational Data Scientist
Emily is a translational data scientist embedded within the Penn Medicine Data Analytics Center and Penn Predictive Healthcare Analysts Team. She received her BS in Mathematics from Georgetown University and her MS in Biostatistics from Drexel School of Public Health. Prior to joining the CIC, she worked with the Quality Improvement department at CHOP helping to predict and limit healthcare-associated infections and to reduce high cost waste from pharmaceuticals. Her work aims to translate actionable knowledge into clinical practice. Outside of work, she enjoys playing ultimate frisbee, hiking, and traveling.
Sy Hwang, M.S.
NLP Application Developer
Sy is an NLP Developer specializing in natural language processing (NLP), deep learning, machine learning, and big data processing at the CIC. He received his BS from Purdue University and MS from University of New Haven. Prior to joining the CIC, he co-founded two startups in the San Francisco Bay Area, including a consultancy specializing in deep learning-based solutions for early-stage startups. Outside of work, he enjoys cooking, traveling, playing the guitar and participating in hackathons.
Sunil Thomas, M.B.A./T.M.
Data Analyst Sr.
Sunil is our seasoned Epic and University of Pennsylvania Health System expert. He has the ability to query and reformat data from several Penn research databases and clinical systems. His background is in Business and Information Technology. Prior to joining CIC he worked as Senior Data Analyst with the UPHS PERIOP Surgery department.
Ashley Batugo, B.S.
Data Analyst Jr.
Ashley brings tremendous expertise in supporting clinical research using informatics principles and common data models to the CIC. She received her BS in Information Science from the University of Maryland, College Park. Prior to joining the CIC, she worked as a data analyst in the Division of Oncology at CHOP fulfilling research and operational requests and helping to build the data infrastructure in the Cancer Center. Outside of work, she enjoys singing, exploring the outdoors, living her Catholic faith, and learning and discussing theology and philosophy.