Students at UC Berkeley working on academic research, ML education, industry projects, and fostering a vibrant ML community 🧠💡
Joined December 2016
- Tweets 244
- Following 112
- Followers 3,725
- Likes 289
52 Photos and videos
our members ran a great reading group on major architecture changes in deepseek v4!!
they covered: hyper connections manifold hyper connections, KV cache MQA/GQA intro, Deepseek Sparse attention (prerequisite to understanding the new CSA) & a walk through of CSA and HCA
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join us for the last bioml seminar of this semester!!
Apr 23
We'll be closing out this semester's Berkeley BioML Seminar on 4/28 with a talk from @antoinekoehl on PEINT, a powerful deep learning framework for both phylogenetic inference and protein engineering. Sign up below! luma.com/3fbbftwy
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super proud of members Avy Harish (@AvyukthH60737), Sahir Tandon and Chris John for hosting our first physics informed ml seminar!
they covered: physics-informed nns, neural odes, sparse identification of nonlinear dynamics, fourier neural operators & other applications
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slides: docs.google.com/presentation…
stay tuned for our next seminar!
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Machine Learning at Berkeley retweeted
Apr 3
We're excited to announce the fourth Berkeley BioML seminar of the semester happening next Tuesday 4/7! Join us for a talk by Shreshth (@shreshth_gandhi) from @tahoe_ai on Scaling Perturbation-Trained Single-Cell Foundation Models!
luma.com/njhd2xga
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> intuitions of how to go from pytorch to jax
> training language models from scratch
> how to scale ur model pt 2
> lfggg
Mar 24
Wrote a deep dive on implementing a language model from scratch in JAX and scaling it with distributed training!
If you’re coming from PyTorch and want to see how the same ideas look in JAX, or just want a hands-on intro to distributed training, check out this blog post: chuyishang.com/blog/2026/jax…
Comes with code an assignment and test cases so you can follow along!
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who are the best people to talk to about physics ml?
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Machine Learning at Berkeley retweeted
Feb 28
We're excited to announce the third Berkeley BioML seminar of the semester happening next Tuesday 3/2! Join us for a talk by Vivek Natarajan (@vivnat ) from GDM on advancing science and medicine with collaborative AI agents.
luma.com/532xzjiu
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Join us for a tech talk with Transluce on 2/23 from 6-7 pm, in Cory 540AB! Transluce is a non-profit AI lab working to ensure that AI oversight scales with AI capabilities. (Pizza provided!)
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We’ll use Docent, our tool for agent oversight that analyzes execution traces at scale, to dig into what’s really happening. Folks should join for an interactive demo and a chance to dig in themselves.
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this is happening tonight!
We're excited to announce the second Berkeley BioML seminar of the semester happening next Tuesday 2/17! Join us for a talk by Kenny Workman (@kenbwork) from LatchBio about the performance of agents for spatial biology analysis. luma.com/f3xa3dst
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Machine Learning at Berkeley retweeted
We're excited to announce the second Berkeley BioML seminar of the semester happening next Tuesday 2/17! Join us for a talk by Kenny Workman (@kenbwork) from LatchBio about the performance of agents for spatial biology analysis. luma.com/f3xa3dst
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check out terry's new post on diffusion language models!!!
I had a fun time writing a deep dive on Diffusion Language Models - with an equation walkthrough and Excalidraw sketches ✏️
In Part 1, I focused on the method: what does “noise” even mean for text, and how do DLMs denoise back into tokens?
winterrykim.github.io/blog/2…
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Machine Learning at Berkeley retweeted
Another semester, another Berkeley BioML Seminar! We're excited to kick off this semester with a talk from @jeffruffolo from Profluent Bio on designing proteins with language models. Join us Monday night! luma.com/dknwfirh
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Machine Learning at Berkeley retweeted
27 Nov 2025
Join us for our next BioML seminar on monday, 1 december with Prof Yunha Hwang on Genomic language modeling for context-aware discovery!
luma.com/74od3h5w
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20 Nov 2025
excited for this talk!
20 Nov 2025
Exciting news! We have 3 consecutive Berkeley BioML seminars to close out the semester, starting with a talk on 11/24 from Stanford Prof @brianltrippe on recent progress in generative models for protein design. luma.com/equ8amlk
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