Andrew J. King, PhD
Andrew J. King, PhD, is an Assistant Professor of Informatics in the Department of Biostatistics, Epidemiology, and Informatics (DBEI) and the Director of Precision Education Technology at the University of […]
Ari Klein, PhD
Dr. Ari Z. Klein is a Research Assistant Professor of Informatics. Broadly, his work involves developing, evaluating, and applying natural language processing, machine learning, artificial intelligence, and mixed methods to […]
Nishant Sinha, PhD
Dr. Sinha is a neuroscientist whose research bridges neural data science, clinical neuroscience, and scalable computational tools to advance personalized care for neurological disorders. His lab integrates multimodal neural data, […]
Shu Yang, PhD
Dr. Shu Yang is a postdoctoral researcher in the Informatics Division at DBEI, working with Dr. Li Shen. He earned his Ph.D. in Computer Science from the University of British […]
Zhi Huang, PhD
Dr. Huang is an Assistant Professor of Pathology and Laboratory Medicine, with a secondary appointment in the Department of Biostatistics, Epidemiology, and Informatics at the University of Pennsylvania Perelman School of Medicine. […]
Li Shen, PhD, FAIMBE, FACMI, FAMIA
Dr. Shen is a Professor and the Interim Director of the Informatics Division in the Department of Biostatistics, Epidemiology and Informatics at the Perelman School of Medicine in the University […]
Fuchiang (Rich) Tsui, PhD, FAMIA, IEEE Senior Member
Dr. Tsui is an engineer, computer scientist, and biomedical informatician. His research focuses on three areas: 1) Developing methods using AI, machine learning, natural language processing, data science, data engineering, […]
Danielle Mowery, PhD, MS, MS, FAMIA
Dr. Danielle Mowery is a collaborative investigator that develops natural language processing (NLP) solutions for processing clinical texts – i.e., clinical notes, chatbots, and transcribed texts – to support clinical […]
Jinbo Chen, PhD
Dr. Jinbo Chen is Professor of Biostatistics in the Department of Biostatistics, Epidemiology & Informatics at the University of Pennsylvania Perelman School of Medicine. Her research focuses on statistical methods […]
Social Media’s Promise for Medical Research
For medical researchers who aim to understand the patient experience, “collecting abundant social-media data is cost-effective, does not involve burdening participants, and is available in real time,” Graciela Gonzalez Hernandez, […]