Terry Kim Profile
Terry Kim

@thtrkim

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45
Following
37
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Statuses
20

@ucberkeley, @berkeleyML

Berkeley, CA
Joined February 2024
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@thtrkim
Terry Kim
26 days
RT @namrata_anand2: šŸ‘‹We’re excited to launch DSG2-mini, our newest AI protein design model, now available in DiffuseSandboxā³šŸŽ, our new app….
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@thtrkim
Terry Kim
3 months
I’m especially grateful to Prof. Jamie Cate and Dr. Conner Langeberg for their early guidance in helping me get involved in research. Looking forward to meeting other researchers and learning at RECOMB!.#RECOMB2025 #EMBC2025 #AI4Science #MLforBio.
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@thtrkim
Terry Kim
3 months
(4/5). Especially want to thank the Innovative Genomics Institute for providing funding to travel and attend RECOMB 2025. And to the organizers @RECOMB_conf @IEEEembs.
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@thtrkim
Terry Kim
3 months
(3/5).I’ll be presenting our poster on Day 2 of @RECOMBconf 2025!.This project is one of my first experiences leading a research effort from start to finish, and I am still in the process of learning—both technically and conceptually—about the intersection of biology and ML.
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@thtrkim
Terry Kim
3 months
(2/5).Key contributions:.•A new toxicity metric that addresses the limitations of traditional half-life-based measures.•A VAE-based molecular generation framework for pesticide inspired by drug discovery techniques.
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@thtrkim
Terry Kim
3 months
(1/5).I’m pleased to share that my research with @seowondeog12052 has been accepted to RECOMB 2025 (Poster) and IEEE EMBC 2025 (Paper)!.Preprint: We introduce a generative approach to pesticide design—optimizing small molecules to reduce toxicity.
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@thtrkim
Terry Kim
4 months
RT @aakarshv1: Join us on Monday 3/10 for our latest installment of the BioML @ Berkeley seminar series! We'll be learning from the excepti….
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@thtrkim
Terry Kim
6 months
RT @MeTownOfficial: MeTown is at CES šŸšŸŽšŸšŸ“!. Come experience our hyper-realistic fashion 3D digitization service in person - EVOVA 3D ShowRo….
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@thtrkim
Terry Kim
9 months
RT @alishbaimran_: Excited to share work I had the opportunity to co-lead at @czbiohub! We introduce DynaCLR, a self-supervised framework f….
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@thtrkim
Terry Kim
1 year
RT @henryHM_ko: The largest protein generative model, ESM-3, was released this morning and one of its training breakthroughs involves FP8 p….
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@thtrkim
Terry Kim
1 year
RT @henryHM_ko: I drew a GPU timeline that includes the evolution of features starting from the Volta series all the way up to the recent B….
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@thtrkim
Terry Kim
1 year
RT @namrata_anand2: I’m excited to share some of our progress at @Diffuse_Bio today, about a year and a half into our journey! 1/.
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@thtrkim
Terry Kim
1 year
My research interests or topics are genomics structure prediction and protein therapeutics, Ā I learned so much by reading Abhi’s substack. I wanted to share these resources + knowledge I personally earned with more Korean readers who are entering this field.
@owl_posting
owl
1 year
for any of my Korean followers: my primer on ML for antibody engineering post has been translated to Korean!. massive s/o to Terry Kim for doing this:
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@thtrkim
Terry Kim
1 year
RT @alishbaimran_: How does AlphaFold3 predict the structures of proteins, DNA/RNA, ligands and other biomolecules? I did a deep dive into….
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@thtrkim
Terry Kim
1 year
RT @evocryptid: Snaps from last night's BioML lecture on protein engineering with AlphaFold2, ProteinMPNN, and RFdiffusion, led by the incr….
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@thtrkim
Terry Kim
1 year
RT @SeyoneC: Come to Berkeley tomorrow to learn about the architectures behind the latest advancements in protein design from @aakarshv1! L….
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@thtrkim
Terry Kim
1 year
RT @BerkeleyML: Come hear @aakarshv1 talk about machine learning for protein engineering! The talk will give an overview of AlphaFold2, RFD….
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@thtrkim
Terry Kim
1 year
RT @jajoosam: Join us on Monday, Feb 12 for a seminar from the team at @ArcadiaScience, on how they've been using ML to accelerate biologic….
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