Sebastian M. Schmon, PhD
Senior Statt Machine Learning Engineer, Altos Labs.
Welcome to my webpage! I am a machine learning researcher, statistician, and professional curious person. Currently, I’m excited to be part of the team at Altos Labs, where I’m working on developing machine learning methods that contribute to Altos’ mission of transforming medicine through cellular rejuvenation programming. Previously, I had the opportunity to work as a Research Scientist at Improbable, where I gained valuable experience applying my skills to real-world problems. During my time at Improbable, I also served as an Assistant Professor in Statistics at Durham University, where I enjoyed contributing to the academic community and mentoring the next generation of statisticians and machine learning practitioners. My research interests lie at the intersection of statistics, machine learning, and probability theory, with a particular focus on applications in the sciences. I’m also intrigued by the philosophical aspects of science and enjoy digging into the foundations when the opportunity arises. Recently, I’ve been working on projects involving generative AI, including large language models, embeddings, and diffusion models. I obtained my DPhil (the Oxford equivalent of a PhD) from the Department of Statistics at the University of Oxford. Below, you’ll find a list of my publications, highlighting my contributions to the field.
news
Oct 12, 2024 | Our team at Altos Labs will be presenting our paper PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis as a spotlight presentation at the Neurips workshop on AI for New Drug Modalities. If you’re planning to attend, feel free to reach out — we’d love to connect! |
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Oct 11, 2024 | Together with Bastian Grossenbacker Rieck and Juius von Rohrscheidt we investigate what happens when Bayesian Computation Meets Topology. Now accepted at TMLR! |
Sep 26, 2024 | I am serving as an Area Chair at AISTATS 2025. |
Jul 17, 2024 | Our paper on Approximate Bayesian Computation with Path Signatures won the OUTSTANDING PAPER award at UAI2024! |
Apr 26, 2024 | Our paper on Approximate Bayesian Computation with Path Signatures got accepted as a Spotlight paper at UAI 2024! |