CEOInterviews.AI
Start App
Try: AI strategy tariffs earnings guidance layoffs interest rates growth

Sal Candido

Engineering Fellow & Vice President; formerly Co-founder & CTO, EvolutionaryScale, Biohub

Search every verified Sal Candido interview, podcast appearance, and on-the-record quote — each transcript cross-checked by AI and human review to confirm speaker identity. Sal Candido, Engineering Fellow and Vice President at Biohub, participated in a panel discussion on October 9, 2026, with Google DeepMind's Pushmeet Kohli, moderated by Brandon Anderson, on the limitations of scaling AI in biology. During the discussion, Candido said that while protein structure prediction has seen progress since AlphaFold 2, problems such as function, dynamics, and design remain open. He also stated that models currently built are useful for specific purposes, such as designing new proteins, but do not address the full scope of problems most people want to solve. Candido also discussed approaches to scientific progress, saying that both incremental 10% improvements and ambitious 10x improvements are valuable. He expressed enthusiasm for Biohub's mission to "cure all disease," noting that achieving such a goal requires identifying and pursuing 10x approaches. He further commented on data use in machine learning, saying that while conventional approaches seek pristine, high-quality examples, he personally works with available data.

Recent appearances

  • The Bitter Lesson of Biology: Why Scaling AI Isn't Enough — Pushmeet K, DeepMind & Sal C, Biohub

    From the Bitter Lesson of AI scaling to the unsolved mysteries of protein folding, Google DeepMind’s Pushmeet Kohli and Biohub’s Sal Candido are rethinking what it takes to build AI that truly understands biology. In this special panel moderated by Brandon Anderson, they explore why AlphaFold’s breakthrough was only the beginning, why scaling compute and data alone won't solve biology, and how the next generation of AI models could transform our understanding of proteins, cells, and human disease. We go deep on the future of AI-driven biology: finding scaling laws in biological data, the trad…

    Watch on YouTube ↗

  • Live Panel: GenAI Startups | Moderated by Joe Spisak

    Moderated by Joe Spisak Panelists: Horace He (Thinking Machines), Dhruv Batra (Yutori), Sal Candido (Evolutionary Scale AI), Eugen Hotaj (Perplexity), and Carina Hong (Axiom) Tune in as these industry experts explore the world of reinforcement learning, post training and what it’s like to build a startup on open models. Key Points The panelists discussed the proliferation of AI agent frameworks and the challenges of building the right level of abstraction. They explored the role of reinforcement learning (RL) in AI, highlighting its strengths and limitations, and the need to combine RL with…

    Watch on YouTube ↗

The summary and quote tags on this profile are produced with AI assistance from verified, first-person interview transcripts, then checked by our team to confirm the speaker's identity and the accuracy of every quote. See how we verify →