Paul T Kim @paultkim_ipd
PhD Student, @UWproteindesign - excited to work on machine learning methods for rational protein design. Also core @DNADeviants. Seattle Joined November 2021-
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The true value of jupyter notebook for ML/data science is that it is a perfect debugging tool. Your project code should be structured in a way that makes it easy to copy paste/import large sections into a jupyter notebook for when you have to debug.
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Paul T Kim retweeted
I’m excited to share our significantly-updated preprint on de novo antibody design, where we now demonstrate the structurally accurate design of scFvs (in addition to VHHs) with RFdiffusion! biorxiv.org/content/10.110…
Paul T Kim retweeted
FusOn-pLM is out in @NatureComms!!! 🎉 An INCREDIBLE effort (and a lot of sleepless nights! 🛏️) from my AMAZING 2nd year PhD student @SophieVincoff and her team to train a new pLM that captures properties of some of the MOST disordered and pathogenic proteins known: fusion…
Evolution of the setup - personal laptop running separately w/ linked keyboard and mouse, ipad sidecar for terminal/calendar/todolist, poster board to not get distracted by people walking down the hall, logitech ergonomic keyboard and vertical mouse (saved my wrists)
Basically the customer support experience with any Google produce. Idk what they are doing over there but it seems like anything that cannot be fully automated goes into a doom spiral of low level customer support reps saying they will try to escalate and then nothing happening.
Basically the customer support experience with any Google produce. Idk what they are doing over there but it seems like anything that cannot be fully automated goes into a doom spiral of low level customer support reps saying they will try to escalate and then nothing happening.
Ok anyone else notice Claude has been nerfed recently?
Great post, cryo is so cool.
Paul T Kim retweeted
i rabbit-holed into the Genesis Sim codebase because the website is hypey and unclear; and I didn't want to just blindly retweet. It's basically like Mujoco but with more advanced materials/rendering/solvers, written all in Python thanks to being powered by Taichi, which makes it…
i rabbit-holed into the Genesis Sim codebase because the website is hypey and unclear; and I didn't want to just blindly retweet. It's basically like Mujoco but with more advanced materials/rendering/solvers, written all in Python thanks to being powered by Taichi, which makes it…
this looks unreal
Paul T Kim retweeted
Madrid’s metro was 71 miles long in 1995. That would be the world’s 51st longest today, reasonable considering Madrid is the 57th largest city by population. Yet over 12 years, the metro would ~3x in length at costs much lower than was thought possible. Here’s how they did it🧵
Just IPD things ❤️ Another 160 gpus, brings the internal cluster up to 1079 gpus total.
When you call a business and the automated answer goes on about hours, location etc. Very annoying. If I’m calling it’s because I want info that I can’t just look up online.
That deep anxiety when you hit play on the validation run / open wandb and wait for the metrics to load. The universe has decided whether your work was good and now the result is about to be revealed to you.
Paul T Kim retweeted
Join me for the @lab_berger seminar on Wednesday where I'll be talking about #PoET, shrinking protein language models, and protein engineering @openprotein!
Claude Sonnet is the best interface for matplotlib.
Paul T Kim retweeted
This is an ice core from West Antarctica. The black ring on it is a layer of volcanic ash deposited some 21,000 years ago. This and other ice cores can help us to learn about the past, including Phoenician and Roman history🧵
Paul T Kim retweeted
Tech founders after watching Starship
Paul T Kim retweeted
If you are a technical person (engineer, quant, mathematician) interested in learning biology, I encourage you to hit textbooks and memorize the "things", eg. cytokines, surface proteins, cell types, pathways, in core fields like immunology. You will be averse to this because…
Paul T Kim retweeted
1/ Can Large Language Models (LLMs) truly reason? Or are they just sophisticated pattern matchers? In our latest preprint, we explore this key question through a large-scale study of both open-source like Llama, Phi, Gemma, and Mistral and leading closed models, including the…
Paul T Kim retweeted
Now online: We created de novo insulin receptor agonists using computational protein design! @EunheeChoi12 @XiaochenB @PreethamVi @UWproteindesign #BakerLab biorxiv.org/content/10.110…
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