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Medical Sciences Center
Ben Lengerich (Len-ger-ich) is an Assistant Professor in the Department of Statistics at the University of Wisconsin-Madison. His research emphasizes the use of context-adaptive models to understand complex diseases and advance precision medicine. Through his work, Ben aims to bridge the gap between data-driven insights and actionable medical interventions.
Ben holds a PhD in Computer Science and MS in Machine Learning from Carnegie Mellon University, where he was advised by Eric Xing. Prior to joining the University of Wisconsin, he was a Postdoctoral Associate and Alana Fellow at MIT’s Computer Science and Artificial Intelligence Lab (CSAIL) and the Broad Institute of MIT and Harvard, where he was advised by Manolis Kellis.
Extended team members [active projects]:
- Caleb Ellington, PhD student at CMU, [Context-adaptive systems, Genomics]
- Andrea Rubbi, PhD student at University of Cambridge, [Context-adaptive systems, Genomics]
- Aaron Alvarez, BS student at University of Cincinnati, [Context-adaptive systems]
- Yingtao Luo, PhD student at CMU, [Context-adaptive systems]
- Jannik Deuschel, MS student at Karlsruhe Institut of Technology, [Context-adaptive systems]
- Siddharth Nirgudkar, High-school student, [Context-adaptive systems]
- Sazan Mahbub, PhD student at CMU, [Foundation models as context]