Richard Michael
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rdmichael.bsky.social
Richard Michael
@rdmichael.bsky.social
PhD student at University of Copenhagen, @DIKU, @KU_BioML group, DDSA fellow.
Pinned
Working on (high-dimensional) Bayesian optimization and care about reproducible, robust comparisons?

Check out our poster presented by @miguelgondu.bsky.social : neurips.cc/virtual/2024... at #NeurIPS2024

Paper: arxiv.org/abs/2406.04739
Site: machinelearninglifescience.github.io/hdbo_benchma...
🧵
NeurIPS Poster A survey and benchmark of high-dimensional Bayesian optimization of discrete sequencesNeurIPS 2024
neurips.cc
Reposted by Richard Michael
The most important aspect when facing data shift is the type of shift present in the data. I will give below a few examples of shifts and some existing methods to compensate for it.🧵1/6
July 1, 2025 at 9:39 AM
Reposted by Richard Michael
End-to-end differentiable homology search for protein fitness prediction.

@yaringal.bsky.social @deboramarks.bsky.social @pascalnotin.bsky.social

arxiv.org/abs/2506.089...
June 11, 2025 at 7:00 PM
Spotted Oosterkade in Utrecht
March 11, 2025 at 1:35 PM
Reposted by Richard Michael
🚀 It's time for a new JAX ecosystem library!

This time quite a small one: ESM2quinox. A #JAX + Equinox implementation of the ESM2 protein language model.

GitHub: github.com/patrick-kidg...

SciML is obviously my whole jam. My open source has largely focused on the differential equations ...

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GitHub - patrick-kidger/esm2quinox: An implementation of ESM2 in Equinox+JAX
An implementation of ESM2 in Equinox+JAX. Contribute to patrick-kidger/esm2quinox development by creating an account on GitHub.
github.com
February 11, 2025 at 2:40 PM
Reposted by Richard Michael
🔥 Benchmark Alert! MotifBench sets a new standard for evaluating protein design methods in motif scaffolding.
Why does this matter? Reproducibility & fair comparison have been lacking—until now.
Paper: arxiv.org/abs/2502.12479 | Repo: github.com/blt2114/Moti...
A thread ⬇️
February 19, 2025 at 8:50 PM
Reposted by Richard Michael
The BioEmu-1 model and inference code are now public under MIT license!!!

Please go ahead, play with it and let us know if there are issues.

github.com/microsoft/bi...
February 19, 2025 at 8:17 PM
Reposted by Richard Michael
The slides for my lectures on (Bayesian) Active Learning, Information Theory, and Uncertainty are online now 🥳 They cover quite a bit from basic information theory to some recent papers:

blackhc.github.io/balitu/

and I'll try to add proper course notes over time 🤗
December 17, 2024 at 6:50 AM
Working on (high-dimensional) Bayesian optimization and care about reproducible, robust comparisons?

Check out our poster presented by @miguelgondu.bsky.social : neurips.cc/virtual/2024... at #NeurIPS2024

Paper: arxiv.org/abs/2406.04739
Site: machinelearninglifescience.github.io/hdbo_benchma...
🧵
NeurIPS Poster A survey and benchmark of high-dimensional Bayesian optimization of discrete sequencesNeurIPS 2024
neurips.cc
December 12, 2024 at 3:44 PM
Reposted by Richard Michael
Traveling to Copenhagen. Tomorrow, I will give a talk at the DeLTA lab seminar sites.google.com/diku.edu/del...

I will talk about our joint work with Geoffrey Wolfer on the estimation of the average mixing time for Markov chains + consequences for machine learning. Link:
arxiv.org/abs/2402.10506
December 1, 2024 at 12:57 PM