Jigyasa Nigam's Avatar

Jigyasa Nigam

@jnigam.bsky.social

Postdoc @mit.edu, curious physicist unraveling the unknown #openscienceπŸ‘©β€πŸ”¬πŸ“š Prev: @labcosmo.bsky.social EPFL

80 Followers  |  108 Following  |  1 Posts  |  Joined: 03.12.2024
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Posts by Jigyasa Nigam (@jnigam.bsky.social)

BioEmu now published in @science.org !!

What is BioEmu? Check out this video:
youtu.be/LStKhWcL0VE?...

10.07.2025 18:57 β€” πŸ‘ 91    πŸ” 28    πŸ’¬ 6    πŸ“Œ 4
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As a bonus - it also works in the condensed phase, and there's a #recipe for this atomistic-cookbook.org/examples/per... πŸ˜‹

03.04.2025 21:30 β€” πŸ‘ 2    πŸ” 1    πŸ’¬ 1    πŸ“Œ 0
A schematic of the functioning of a ML/QM hybrid framework

A schematic of the functioning of a ML/QM hybrid framework

When you combine #machinelearning and #compchem, you need to start worrying at the QM details within your ML architecture. We use our indirect Hamiltonian framework and pySCFAD to explore the enormous design space arxiv.org/abs/2504.01187

03.04.2025 21:30 β€” πŸ‘ 14    πŸ” 4    πŸ’¬ 2    πŸ“Œ 0
GitHub - microsoft/bioemu-benchmarks: Benchmarking code accompanying the release of `bioemu` Benchmarking code accompanying the release of `bioemu` - microsoft/bioemu-benchmarks

Today we have published BioEmu-Benchmarks (MIT license): a code to evaluate the multi-conformation sampling benchmarks, MD free energy landscape benchmarks, and folding free energy benchmarks shown in the BioEmu-1 paper with BioEmu or your own model. Some details below 🧡

github.com/microsoft/bi...

21.02.2025 15:49 β€” πŸ‘ 76    πŸ” 21    πŸ’¬ 4    πŸ“Œ 0
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So great to be back home at #EPFL for AMLD @appliedmldays.bsky.social ‬earlier this week, missing @micheleceriotti.bsky.social! Also was an opportunity to get up to mischief and catch up on some science with the @labcosmo.bsky.social gang!

16.02.2025 22:19 β€” πŸ‘ 7    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0
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Super excited to preprint our work on developing a Biomolecular Emulator (BioEmu): Scalable emulation of protein equilibrium ensembles with generative deep learning from @msftresearch.bsky.social ch AI for Science.

www.biorxiv.org/content/10.1...

06.12.2024 08:38 β€” πŸ‘ 441    πŸ” 147    πŸ’¬ 21    πŸ“Œ 29