Philippe Schwaller (he/him)
@pschwllr
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Tenure-Track Assistant Professor of Digital Chemistry at @EPFL with @SchwallerGroup | @NCCR_Catalysis | prev @IBMResearch @forRXN | ML/AI-accelerated Chemistry
Switzerland
Joined July 2017
We are hiring (resharing appreciated)!. Given a few recent successful grant applications (I got my SNSF Starting Grant 🚀), we are extending the LIAC (@SchwallerGroup) team and have multiple openings (PhD/postdoc) for 2025. Are you interested in #AI4Science and machine learning
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RT @ABosselut: The EPFL NLP lab is looking to hire a postdoctoral researcher on the topic of designing, training, and evaluating multilingu….
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RT @kmjablonka: I think that most ML benchmarks might be measuring the wrong things entirely. We've been building evaluation tools for ML….
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RT @ycombinator: b-12 ( is building AI agents that help chemists design experiments and automatically run them on l….
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RT @mmbronstein: Aithyra Opening Symposium "AI for Life Science" with Nobel Laureate Frances Arnold as keynote speaker in addition to an ou….
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RT @NatComputSci: Out now! @pschwllr, @SchwallerGroup, @loic_roch, @VictorSabanza and colleagues provide guidelines and recommendations for….
nature.com
Nature Computational Science - Multi-fidelity Bayesian optimization methods are studied on molecular and material discovery tasks, and guidelines are provided to recommend cheaper and informative...
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RT @CoryMSimon: “guidelines for multi-fidelity Bayesian optimization of molecules and materials”. check out our News & Views article in Nat….
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RT @NeurIPSConf: NeurIPS is pleased to officially endorse EurIPS, an independently-organized meeting taking place in Copenhagen this year,….
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RT @ChemistryNews: Highly parallel optimisation of chemical reactions through automation and machine intelligence h….
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RT @AI_for_Science: AI for Science will be returning to @NeurIPSConf 2025! We aim to bring together scientists and AI researchers to discus….
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RT @kmjablonka: Scale isn't all we need. @Iam_Nawaf_ shows with Santiago Miret that for the modeling of categorical-coordinate data with….
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RT @mariabrbic: Check out our new preprint on MARBLE 🪨, a new reasoning benchmark where leading models still struggle! MARBLE provides a ch….
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RT @olexandr: Our new @ChemRxiv preprint: AIMNet2-rxn: A #MachineLearning Potential for Generalized Reaction Modeling on a Millions-of-Path….
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RT @mariabrbic: Can we build multimodal models by simply aligning pretrained unimodal models with limited paired data? . We introduce STRUC….
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RT @HelvChimActa: Burgenstock #bc_scs25 Editorial Board meeting @rebeccambuller @albrecht_lab @OlallaLab @KatayevL @HariGroupIISc R. Mulvey….
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RT @EPFL_CHEM_Tweet: Congrats to Sascha Feldmann named to Cenmag's Talented 12 for "Commanding charged particles and light for energy effic….
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RT @catalysis_eth: 📢Our latest @NatureComms is out! Tracking life and death of carbon nitride supports in platinum-catalyzed vinyl chloride….
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RT @kmjablonka: Title grew longer, the benchmark shrank: . ChemBench is now out today in @NatureChemistry. https:….
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RT @jablonkagroup: Training large language models for chemistry is bottlenecked by one critical problem: there is no unified dataset that c….
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RT @kmjablonka: A project we started a long time ago with @MichaelPieler, @pschwllr and many others is now on Arxiv: The ChemPile - a massi….
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RT @VictorSabanza: Making molecules is hard. How can we simplify the predicted synthesis routes of generated, property‑optimized small mole….
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