Refolk
Shared search

Find ML researchers who worked on protein language models at Meta FAIR or DeepMind and are now at a small biotech AI startup in the US.

34 results across 11 people, 23 companies

1
Sergey Edunov
Sergey Edunov23y exp
CTO at Genesis Molecular AI
Menlo Park, California, United StatesRecently started
2
Raphael Townshend
Raphael Townshend18y exp
Founder & CEO of Atomic AI
Stanford, California, United States· 5y at co.Likely open
3
Michael H. L.
Michael H. L.11y exp
AI & RL | Genesis, Meta, Google X | UC Berkeley PhD, Harvard
San Francisco, California, United StatesRecently started
4
Gianluca Scarpellini
Gianluca Scarpellini11y exp
Research Scientist | Genesis Mol AI (Pearl) | Ex DeepMind | Ex Pytorch Lightning Contributor
New York, New York, United States· 2y at co.Likely open
5
Nate Gruver
Nate Gruver9y exp
ML Scientist
New York, New York, United StatesRecently started
6
Christina Ji
Christina Ji12y exp
ML @ Genesis Molecular AI | PhD in ML for healthcare from MIT EECS
Burlingame, California, United States· 1y at co.Possibly open
7
Alex Rizkowsky
Alex Rizkowsky17y exp
Senior Principal Technical Program Manager | Former Google DeepMind
Greater BostonRecently started
8
Jamin Chen
Jamin Chen9y exp
happy human being
San Francisco Bay AreaRecently started
9
Joseph Spisak
Joseph Spisak26y exp
VP of Product & Head of Open Source | Ex: Meta, Google, Amazon
San Francisco Bay AreaRecently started
Jay Rosenzweig
Jay Rosenzweig26y exp
Building The Leadership Teams of Tomorrow, Taking Responsibility For Our World Today
Toronto, Ontario, Canada· 22y at co.Recently started
Aleksandra Faust
Aleksandra Faust29y exp
Research Director, Google DeepMind | Board Member & Strategic Advisor | Foundation Models & AI Agents for problems that actually matter
United StatesRecently started

Same prompt, your brief. Change a word and I will run it again live, against the open web, and rank what comes back.

Remix this search

500 free credits on sign-up. No card.

Try it on the search you came here for

Stop building boolean strings. Just describe the person.

Type one sentence. I plan the search, read GitHub, public LinkedIn and Crunchbase records, and the open web as it is right now, and hand back a ranked list with the reason next to every name.

  1. 01Describe them

    One plain sentence. Role, city, stack, stage, whatever matters to you.

  2. 02I read the web live

    GitHub, public LinkedIn and Crunchbase records, the open web. Not a database that went stale last quarter.

  3. 03You read the shortlist

    Ranked, with the reasoning under every name. Open a profile, ask a follow-up, narrow it down.

  • No boolean, no filters, no seat to buy. One box.
  • Read at search time, so a profile updated yesterday counts today.
  • Every step visible as it runs, every name with its reason.

500 free credits on sign-up. No card, no demo call. See real searches.