Breaking Into AI for Science - Alishba Imran of UC Berkeley BAIR, Arc Institute, CZ Biohub, Voltx
07 May 2025

Breaking Into AI for Science - Alishba Imran of UC Berkeley BAIR, Arc Institute, CZ Biohub, Voltx

Discovery Engines – with Nabil

About

Alishba Imran is a deep learning researcher at UC Berkeley's BAIR AI Lab, a Research Fellow at the Arc Institute, a former Research Intern at the Chan Zuckerberg Biohub, co-founder of battery tech startup Voltx, and co-author of "AI for Robotics: Toward Embodied and General Intelligence in the Physical World"

See below for episode links, chapters, and our socials. Hosted by Nabil Laoudji.

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Episode Links:

    Alishba's LinkedIn Alishba's Twitter "AI for Robotics" book Arc Institute UC Berkeley BAIR AI Lab Chan Zuckerberg Biohub DynaCLR Paper Biopunk Lab

Chapters:

    (00:00) - Preview & Introduction (05:02) - Why AI for Science? (10:34) - Bootstrapping Your Own Learning (16:02) - Why Battery Testing Matters: Launching Voltx (20:19) - Batteries, Raw Earth Minerals: Incremental vs Transformative Chemistries (23:54) - The Business Side of Deep Tech Entrepreneurship (29:14) - The State of Battery Tech Today (30:50) - Working with Chan Zuckerberg Biohub (33:37) - DynaCLR For Contrastive Learning of Cell State Dynamics (36:21) - Why Self-Supervised + Contrastive Learning (41:06) - Generalizing to Different Cells Contexts With Embeddings (42:06) - Microscopy or ML Advancements for Unlocking Progress (43:54) - Managing Terabytes of Data (46:51) - Arc Institute: Collecting Largest Single Cell Dataset (48:40) - Role of Tech-Founder Funded Institute To Advance Foundational Work (50:41) - Book Launch! Merging Classical Robotics Methods With Cutting-Edge Deep Learning (53:42) - Robotics Progress: Hype vs Reality (57:09) - Robotics for Science (58:54) - Future Trends: Automation, Foundational Single Cell Models, Protein and Genome Language Models, Transcriptomics (01:00:41) - Pivoting into AI for Science Early, Mid, or Late Career (01:02:49) - Exchanging Ideas; DynaCLR Paper; AI for Robotics Book

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