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Jarrid Rector-Brooks
126 posts
@jarridrb

Jarrid Rector-Brooks

@jarridrb
PhD student @Mila_Quebec with Yoshua Bengio, currently visiting Frances Arnold's group @Caltech
Joined October 2023
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  • Pinned
    @jarridrb
    Jarrid Rector-Brooks
    @jarridrb
    Apr 8
    What if AI could invent enzymes that nature hasn’t seen? 👩‍🔬🧑‍🔬 Introducing 🪩 DISCO: Diffusion for Sequence-structure CO-design 14 rounds of directed evolution and over a year of wet lab work. That's what it took to engineer an enzyme for selective C(sp³)–H insertion, one of the
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  • @jarridrb
    Jarrid Rector-Brooks
    @jarridrb
    May 21
    This and the megascale-style dataset work from @KotaroTsuboyama and @grocklin et al is so cool! Very exciting to see this paper. 😃
    @ChoYehlin
    Yehlin Cho
    @ChoYehlin
    May 21
    🚀 Excited to share our new work: Absolute Stability Predictor! 📊: forms.gle/4ZnXZSnTBvaykk… Built the MGnify Stability Dataset (1.8M+ measurements) and developed stability prediction models, together with @grocklin, @KotaroTsuboyama, @sokrypton, and teams.
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  • @jarridrb
    Jarrid Rector-Brooks
    @jarridrb
    May 13
    Go Fred! Love to see more cool diffusion LLM stuff. 😀
    @pengzhangzhi1
    Fred Peng
    @pengzhangzhi1
    May 13
    How to Train Diffusion LLM more efficiently? Our paper has an answer for you: Don’t Retrain, Align: Adapting Autoregressive LMs to Diffusion LMs via Representation Alignment Diffusion language models are becoming increasingly attractive: they support bidirectional generation,
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  • @jarridrb
    Jarrid Rector-Brooks
    @jarridrb
    Apr 25
    Come to Pavilion 3 #614 to talk about better dLLM training!
    @bose_joey
    Joey Bose
    @bose_joey
    Apr 25
    Path aware Path learning in Diffusion language model training. Poster happening now Pavilion 3 # 614
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  • @jarridrb
    Jarrid Rector-Brooks
    @jarridrb
    Apr 24
    Come to poster #1117 to wear sick glasses
    @mmbronstein
    Michael Bronstein
    @mmbronstein
    Apr 24
    A subset of OXtal gang
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