Tong Group
RSS FeedWe are a research group at Aithyra in Vienna, Austria, at the intersection of machine learning and life sciences.
Our research focuses on generative modeling, flow models, optimal transport, and protein design. We develop novel machine learning algorithms with applications to understanding cellular dynamics, predicting protein structures, and designing new molecules.
Led by Alexander Tong, our group combines theoretical insights with practical applications to solve problems in computational biology and chemistry.
We are actively recruiting PhD students, postdocs, and visiting researchers. See open positions if you're interested!
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Research
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Team
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Publications
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Recent News
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Named a Schmidt Sciences AI2050 Early Career Fellow
Alexander Tong has been named a Schmidt Sciences AI2050 Early Career Fellow.
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Two papers accepted to NeurIPS 2026
Two papers from the group were accepted to NeurIPS 2026 (1 Oral, 1 Poster).
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Co-organizing the Non-Autoregressive Language Models workshop at COLM 2026
We are co-organizing the Non-Autoregressive Language Models workshop at COLM 2026 in San Francisco on October 9.
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Two papers accepted to ICML 2026
Two papers from the group were accepted to ICML 2026, including a spotlight on autoregressive Boltzmann generators.
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Six papers accepted to ICLR 2026
Six papers from the group were accepted to ICLR 2026 (2 Oral, 4 Poster).
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Three papers accepted to NeurIPS 2025
Three papers from the group were accepted to NeurIPS 2025, including a spotlight on annealing diffusion for Boltzmann sampling.