Seminar series on machine learning for protein engineering. Run by @LeoTZ03 @boqiang1222 @rishabh16_ and Sonia

Virtual
Joined January 2022
Machine Learning for Protein Engineering Seminar retweeted
Looks cool to me 😮 198 simulation-ready chemistry laboratory instruments. Each one comes with part-level geometry, working joints, an executable behaviour model and a contract that records what every value means and where it came from. All 198 instruments have been converted to USD and stepped in NVIDIA Isaac Lab through the Matterix framework, with joints driven from runtime state and panel buttons pressed in the scene reaching the runtime. mbzuai-nlp.github.io/ChemLab… huggingface.co/datasets/MBZU…
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Ben is a rising 5th year PhD student in the Biophysics PhD Program at Harvard University working in Nick Polizzi's lab at Dana-Farber Cancer Institute / Harvard Medical School. In his PhD work in the Polizzi lab, Ben has developed the LASErMPNN model and NISE algorithm together.
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Nick is a final-year PhD student in @liugroup, where his research integrated computational protein design with autonomous laboratory evolution to build practical workflows to enhance or change enzyme function.
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Join our slack channel or email group on our website to receive zoom links!
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Happening today! Note the special time!
We’re excited to host @aditimerch on Tuesday, July 21, for a presentation on her recent work, “A High-Level Programming Language for Generative Biology with Proto.” The talk will take place from 6:00–7:00 p.m. ET / 3:00–4:00 p.m. PT
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youtu.be/Lcmo8wo54Uc Recording is up!
Upcoming seminar: Tuesday, July 7, 2026, at 4:00 PM Eastern Time. We’re excited to welcome Calvin McCarter, Senior Machine Learning Scientist at BigHat Biosciences, who will present “How to Make the Most of Your Masked Language Model for Protein Engineering.”
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Machine Learning for Protein Engineering Seminar retweeted
Upcoming seminar: Tuesday, July 7, 2026, at 4:00 PM Eastern Time. We’re excited to welcome Calvin McCarter, Senior Machine Learning Scientist at BigHat Biosciences, who will present “How to Make the Most of Your Masked Language Model for Protein Engineering.”
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Machine Learning for Protein Engineering Seminar retweeted
We are excited to launch our 2026 “Rising Stars in #Vaccinology and #Immunity to #Microbes” seminar series. This online series highlights the work of early-career #researchers. Speaker details and zoom registration is available below via QR code or at vaccinecenter.wustl.edu/item…
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