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Jeff Guo

@jeff-guo.bsky.social

107 followers 110 following 6 posts

PhD student at EPFL working on generative molecular design | Previously Microsoft AI4Science and AstraZeneca

Posts Replies Media

Reposted by Jeff Guo

Rocío Mercado Oropeza @rociomer.bsky.social · 16/06/2025

🚨 We are currently recruiting 2 PhD students to join our team at Chalmers, which you can learn more about on our team website: ailab.bio/join-us Details in thread below! (1/5)

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Jeff Guo @jeff-guo.bsky.social · 14/05/2025

Generate property-optimized small molecules with 𝘴𝘵𝘦𝘦𝘳𝘢𝘣𝘭𝘦 𝘢𝘯𝘥 𝘨𝘳𝘢𝘯𝘶𝘭𝘢𝘳 synthesizability control - allowing complete user-flexibility to impose various reaction constraints! Pre-print: arxiv.org/abs/2505.08774 Code: github.com/schwallergro... (1/4)

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Reposted by Jeff Guo

Rocío Mercado Oropeza @rociomer.bsky.social · 11/04/2025

My colleague Michaela Wenzel at Chalmers is recruiting 2 PhD students in AI-assisted antibiotic discovery. Very interesting projects with a great supervisor! You can learn more about the positions (and apply by May 5th) here: www.chalmers.se/en/about-cha...

chalmers.se

Vacancies

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Reposted by Jeff Guo

Rocío Mercado Oropeza @rociomer.bsky.social · 07/04/2025

Industry PhD opportunity: together with AstraZeneca, we’re recruiting an industial PhD student in data-driven life sciences to join us here in Gothenburg, SE! Deadline to apply April 24. More info in ad: www.scilifelab.se/career/indus...

scilifelab.se

Industrial PhD student in Data-Driven Life Sciences

Industrial PhD student in Data-Driven Life Sciences Are you passionate about applying computational approaches to solve problems within chemistry and biology? We are now looking for an Industrial PhD ...

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Jeff Guo @jeff-guo.bsky.social · 24/03/2025

Check out our paper published in @chemicalscience.rsc.org - pubs.rsc.org/en/content/a... (1) *General-purpose* generative model + retrosynthesis model = design molecules with optimized properties with an *explicit* predicted synthesis pathway (1/2)

pubs.rsc.org

Directly optimizing for synthesizability in generative molecular design using retrosynthesis models - Chemical Science (RSC Publishing) DOI:10.1039/D5SC01476J

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