Tech on Drugs with Shai Shen-Orr Tech On Drugs - Se3Ep3 - Shai on Nvidia AI Podcast
Dec 15, 2025
Shai Shen-Orr, Co-founder and Chief Scientist at Cytoreason, shares his insights on using AI in drug development. He discusses how computational disease models help transform vast biological data into actionable insights. Shai explains the importance of automating routine tasks to enable scientists to focus on critical issues and ensure data trustworthiness. The conversation also dives into how CytoReason assists major pharma players like Pfizer in making informed treatment decisions while addressing the challenges of an ever-expanding data landscape.
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Biology Is Deep, Not Just Big Data
- Biology is a deep-data problem with many features and few samples, not just a big-data problem.
- That makes prior knowledge and specialized models essential to avoid overfitting.
Automating The Data Avalanche
- Cytoreason automated data intake because manual curation couldn't keep up with exploding literature and datasets.
- They teach machines human workflows, add QC loops, and gradually automate complex tasks.
Automate To Stay Ahead
- Continuously automate routine parts of your job so you can focus on new, higher-value problems.
- Make automation part of job goals: spend time making your role obsolete to stay ahead of data growth.
