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Patrick Hsu

CEO/Co-founder of the Arc Institute, working at the intersection of biology and machine learning to understand and treat diseases.

Top 3 podcasts with Patrick Hsu

Ranked by the Snipd community
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27 snips
Feb 25, 2025 • 58min

Virtual Cell Models, Tahoe-100 and Data for AI-in-Bio with Vevo Therapeutics and the Arc Institute

In this engaging discussion, Nima Alidoust, CEO of Vevo Therapeutics, and Patrick Hsu, CEO of the Arc Institute, dive into the revolutionary Tahoe-100M dataset that is reshaping drug discovery. They explore the fascinating potential of virtual cell models and AI in understanding disease behaviors at a cellular level. The conversation highlights challenges in data collection and the critical need for high-quality datasets in biomedical research. They also discuss the importance of open-sourcing data to foster collaboration and innovation in the biotech field.
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14 snips
Oct 1, 2024 • 1h 14min

Metascience 101 - EP4: "ARPAs, FROs, and Fast Grants, oh my!"

Tyler Cowen, an economics professor, shares insights alongside Patrick Hsu, co-founder of the Arc Institute, and Adam Marblestone, CEO of Convergent Research. They explore the transformative power of new funding models like Fast Grants and Flexible Research Organizations, emphasizing their role in fostering innovation. The conversation also highlights the necessity for evolving scientific practices in response to modern challenges, particularly how startup culture invigorates research. They discuss the collaboration needed in life sciences and the impact of AI on scientific breakthroughs.
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4 snips
Oct 13, 2024 • 47min

Patrick Hsu: A Trailblazer in Digital Biology

Patrick Hsu, a visionary in genome editing and AI, co-founded the Arc Institute where biomedical science meets machine learning. He shares insights on the revolutionary bridge RNAs that could redefine genome editing, likening it to CRISPR 3.0. Hsu discusses the role of AI as an autonomous assistant in research, and how it fosters creativity in labs. He emphasizes the importance of interdisciplinary collaboration to overcome challenges in computational biology, all while exploring the exciting potential of merging AI with life sciences.