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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