Namuk Park
@xxxnell
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Postdoc @PrescientDesign @Genentech 🤖 🧬 / ❤️ Transformer, representation learning, uncertainty, computational biology, ML for Science
New York City
Joined June 2010
Our paper “How Do Vision Transformers Work?” was accepted as a Spotlight at #ICLR2022!! We show that the success of ViTs is NOT due to their weak inductive bias & capturing long-range dependency. paper: code & summary: 👇 (1/7)
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It's the last week to apply for this fantastic internship opportunity—don’t miss out! Apply now!
🧬 Interested in applying generative models to real-world problems? @PrescientDesign is hiring a summer 2025 intern to advance 3D generative models, and apply them to protein design. No biology background needed. Apply or reach out with questions!
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RT @asalam_91: [1/n] Does AlphaFold3 "know" biophysics and the physics of protein folding? Are protein language models (pLMs) learning coev…
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RT @nc_frey: My team @PrescientDesign @genentech is hiring! 🎉 Join me, @stephenrra, @keunwoochoi, @kchonyc, and the Large Molecule Drug Di…
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Interested in 3D generative models and protein design? We have an exciting research internship opportunity! If you’re attending NeurIPS, come chat with the @PrescientDesign team, including @omarnmahmood and @pedroopinheiro.
Join us in NYC as a graduate student intern @PrescientDesign, @genentech this summer to work on fundamental research in 3D generative models, with applications to protein design! Apply directly, and please share with anyone who may be interested! Link below 👇👇
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🧬 Interested in applying generative models to real-world problems? @PrescientDesign is hiring a summer 2025 intern to advance 3D generative models, and apply them to protein design. No biology background needed. Apply or reach out with questions!
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RT @samuel_stanton_: As part of our commitment to open science, I'm excited to share that an alpha version of our protein design code is av…
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RT @asalam_91: Check out our work today at #ICLR2024. We insert a concept bottleneck layer into generative models, which allows us to inter…
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RT @PrescientDesign: We're delighted that "Protein Discovery with Discrete Walk-Jump Sampling" has won an Outstanding Paper Award at #ICLR2…
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It is undoubtedly important to fairly evaluate methods in deep learning, and it is no exception in the CL field. Such a new insight in the CL field! Nice work, @_sungmin_cha. Congrats!
Exciting news! Our recent research paper, "Hyperparameters in Continual Learning: a Reality Check," is now available on arXiv! Check it out at
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RT @samuel_stanton_: Why hasn't AlphaFold solved lead optimization for biologics? I gave a talk at an NYC meetup of the Learning on Graph…
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@jeongwhan_choi @RealAAAI Super interesting! 👀 It also seems like I may find some relevance to my work on analyzing the properties of Transformers in vision tasks Congratulations btw! 🥳
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RT @PrescientDesign: We're excited to share our team's papers and contributions to works accepted at #ICLR2024! ✍️🎉 Check out our papers b…
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I'm currently working on foundation models for geometric deep learning, including proteins 🧬, at Prescient Design. Looking forward to the changes and achievements Prescient Design and I will make this year, 2024!
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