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MIA: Eli Weinstein on Generative models of proteins and genomes; Primer by Alan Amin on Polya trees
Martin Weigt: From generative models of protein sequences to evolution-guided protein design
How to guide your favorite protein sequence generative model (and other stories)
Protein sequence design with deep generative models
Ava Amini – GATC25 – Scaling generative models for functional protein design
Evolutionary Dynamics of the Protein Structure-Function Relation in Metabolic Networks
Efficient generative modeling of protein sequences using simple autoregressive models
Simulating 500 million years of evolution with a language model
The Evolutionary 'Design' of Protein Machines, Rama Ranganathan, University of Chicago
Sequence modeling and design from molecular to genome scale with Evo
MULTI-evolve | A Language Model for Rapid Directed Evolution of Proteins
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Last Updated: September 30, 2026
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Speaker: Prof Martin Weigt from University of Sorbonne. Chloe Hsu, University of California Berkeley Computer Science Abstract: There are several approaches to predict functional ... PhD Dissertation Talk. Covers work on using methods from natural language processing, specifically large scale language ... Feb. 6th, 2020, 12h-13h, room Jean Jaures (29 Rue d'Ulm). Speaker: Martin Weigt (Sorbonne Université) Title: From Eric and Wendy Schmidt Center Symposium: Biomedical Science and AI April 28 - 29, 2026 Day 1, Invited talk: The role of ... Zachary Wu, Kadina E. Johnston, Frances H. Arnold, and Kevin K. Yang Division of Chemistry and Chemical Engineering, ... Watch Ava Amini, Senior Researcher at Microsoft Research, explore how Jeanne Trinquier, Guido Uguzzoni, Andrea Pagnani, Francesco Zamponi & Martin Weigt. ESM3: Simulating 500 million years of This video introduces MULTI-evolve, an end-to-end framework that trains neural networks on small datasets to predict beneficial ...
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