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LIAC at EPFL
@SchwallerGroup
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Laboratory of Artificial Chemical Intelligence at @EPFL | led by @pschwllr | AI-accelerated discovery and synthesis | part of @NCCR_Catalysis | team-run account
Lausanne, Switzerland
Joined October 2021
Word of the day: 'WOMEN'. Our mothers, grandmas, sisters, aunts, girlfriends, daughters, mentors, leaders, teachers, scientists, engineers, artists, activists who raise, inspire and lead. We stand in awe of their strength and tenderness. Here's to WOMEN, every day, everywhere! ๐
Can you decode our special message? ๐ต๏ธโโ๏ธโจ P. S. HAPPY INTERNATIONAL WOMEN'S DAY to all the inspiring women out there! ๐ฉโ๐ฌ๐ฉโ๐จ๐ฉโ๐ณ๐ฉ๐ฟโ๐ป๐ฉโ๐พ๐ฉโ๐๐ฉ๐ปโโ๏ธ๐ฉโโ๏ธ๐๐พ๐ฉโโ๏ธ๐ฉโ๐ญ๐ง๐ผ๐ฆธ๐ฝโโ๏ธ๐งโโ๏ธ๐คธโโ๏ธ๐ท๐พโโ๏ธ๐ฉ๐ผโ๐ค๐ฉโ๐๐๏ธโโ๏ธ๐ฎโโ๏ธ๐๐พโโ๏ธ๐ฉโ๐ซ๐ฉ๐ฝโ๐ผ P. P. S. Don't *see* the answer?๐ DW, our prof struggled too ๐@pschwllr
#EPFL #EPFLChem #InternationalWomensDay
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RT @lnce_epfl: Great collaboration with @SchwallerGroup ! Congratulations to the BoLudo team ๐ and looking forward to what comes next :) @Eโฆ
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RT @rneschneuing: Our paper on computational design of chemically induced protein interactions is out in @Nature. Big thanks to all co-authโฆ
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RT @GWellawatte: Finally our XpertAI paper is published in Nature Comm Chem!๐งช This work shows how explainable AI can be used for hypothesisโฆ
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RT @pschwllr: Back from a short and intense #NeurIPS2024, it was great meeting old friends and making new ones, celebrating 5 years of RXNMโฆ
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Congrats to the whole team (@JeffGuo__, @VictorSabanza, @GWellawatte, Alex, Matt, @drecmb, @maglederb, Huixuan, Victoire, Marta, @kelmannson)! Amazing to see such impactful work across molecular design, knowledge graphs, and chemistry QA. Follow @SchwallerGroup to stay updated!
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RT @d_armstr: 1/ Starting material constrained synthesis planning is now possible using a general retrosynthesis algorithm *without* traiโฆ
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Another great #Ellis workshop on ML for Molecular Discovery. Thanks to @gklambauer, @fra_grisoni, and the whole organizing team! Proud of our team's contributions - 3 posters (@d_armstr, @kelmannson, @ZJoncev) and an excellent talk by @SarinaKopf! Very well done! #compchem
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RT @gklambauer: The Machine Learning for Molecules workshop 2024 will take place THIS FRIDAY, December 6. Tickets for in-person participaโฆ
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RT @ArdemisPrime: Congratulations to AI celebrity @pschwllr on rocking the SNSF starting grant! Big things are about to happen @SchwallerGโฆ
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RT @EPFL_AI_Center: ๐ย Four of our faculty members have been awarded the prestigious Swiss National Science Foundation SNSF "Starting Grant"โฆ
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We are hiring (resharing appreciated)! Given a few recent successful grant applications (I got my SNSF Starting Grant ๐), we are extending the LIAC (@SchwallerGroup) team and have multiple openings (PhD/postdoc) for 2025. Are you interested in #AI4Science and machine learning with real-world applications in chemistry? Apply now (deadline: December 20th) by filling in the following form: Interviews with selected candidates will take place in January/February. We offer a highly dynamic and collaborative environment with competitive salaries ( and benefits (. We strongly encourage candidates of all different backgrounds and identities to apply. Each new hire is an opportunity for us to bring in a different perspective, and we are always eager to further diversify our team. Check out
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RT @zdeborova: Join one of the strongest communities in AI in Europe. Call for applications for postdoc fellowships in all AI-related areasโฆ
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RT @VictorSabanza: 1/ ๐งช๐ก Curious about faster material & molecular discoveries? Multi-fidelity Bayesian Optimization (MFBO) is your friend!โฆ
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RT @RebeccaNeeser: FSscore has now been published in Chemistry-Methods (@ChemEurope)! ๐ Check out the updated paper on personalized synthesโฆ
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RT @pschwllr: Would it not be nice to be able to enforce building blocks in the synthesis routes of generated de novo molecules? To overcโฆ
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RT @JeffGuo__: General-purpose (without any constraints) molecular generative models can *directly* optimize for *constrained* synthesizabiโฆ
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