May 24, 2025• 01:03:37
Ben Lengerich - Machine Learning & AI in Healthcare | Ep. 3
Ben Lengerich — ML Researcher
Machine LearningPersonalized Medicine
Show Notes
In this conversation, Ben Lengerich and Arseniy explore computational biology, focusing on deep learning, context-adaptive models, and AI interpretability in healthcare. They discuss challenges in foundation models, causality, anomaly detection, and balancing personalization with generalizability.
00:00 Intro
00:50 What is Computational Biology
01:35 Advice for Students
03:18 Deep Learning in Bio: 2018 vs 2025
06:49 Lengerich Lab
08:17 Context-Adaptive ML
11:52 Why Interpretability Matters
19:45 Do LLMs possess Intelligence?
24:35 Model's Over-Personalization
26:54 Support the Pod!
27:27 Industry & Academia in Comp Bio
34:05 Medical Data Anomalies
40:29 How to Catch Counter-Causalities
46:18 The Hospital of the Future
49:38 Who Funds the Research
54:36 Are There Leading Institutions?
59:30 Vision for Medicine in 10 Years
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LinkedIn: https://www.linkedin.com/in/arsarsentyev/
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About this Guest
Ben Lengerich
ML Researcher
Leads the Adaptive Inference Lab, where his work on contextualized machine learning builds models that adapt to each patient instead of averaging across them. PhD from Carnegie Mellon, postdoc at MIT CSAIL and the Broad Institute.