News
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The paper PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis from my time at Altos Labs has been accepted to Neurips 2025 Datasets and Benchmarks Track.
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Our team at Latent Labs as published a preprint for our new all-atom protein design model Latent-X, where we demonstrate lab-validated state-of-the-art performance for the de-novo design of cyclic peptides and minibinders! Also check out the platform.
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I am excited to join Latent Labs to work on the next generation of biologics frontier models!
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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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Together with Bastian Grossenbacker Rieck and Juius von Rohrscheidt we investigate what happens when Bayesian Computation Meets Topology. Now accepted at TMLR!
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I am serving as an Area Chair at AISTATS 2025.
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Our paper on Approximate Bayesian Computation with Path Signatures has been recognized with the outstanding paper award at UAI 2024!
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Our paper on Approximate Bayesian Computation with Path Signatures got accepted as a Spotlight paper at UAI 2024!
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I am serving as an Area Chair at Neurips 2024.
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Our paper on simulation-based inference for agent-based models has been published in the Journal of Economics Dynamics and Control.
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I have moved to Cambridge to join Altos Labs as a Senior Staff Machine Learning Engineer.