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Phil Fradkin Profile
Phil Fradkin

@phil_fradkin

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Born too late to explore the Earth Too early explore the Galaxy Just in time to study comp bio and climb some rocks PhD @VectorInst

Joined December 2015
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@phil_fradkin
Phil Fradkin
6 days
RT @artemmoskalev: AI/ML Internships in Drug Discovery🚨 Our team is hiring PhD research interns for summer 2025 in the US. Come work with…
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@phil_fradkin
Phil Fradkin
8 days
RT @pkoo562: [SAVE THE DATE] MLCB 2025 is happening Sep 10-11 at the NY Genome Center—NYC! Attend the premier conference at the intersecti…
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@phil_fradkin
Phil Fradkin
11 days
@i000 @BrandesNadav Have people tried weighting the loss by some empirical metric like constraint or conservation? Just even in a small experiments only on human genome
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@phil_fradkin
Phil Fradkin
11 days
@i000 @BrandesNadav Agreed - although the information signal in the UTRs is significantly more diffused than coding region. We actually have these results - the contrastive objective outperforms MLM on identical pre-training data just haven't made it into the pre-print yet
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@phil_fradkin
Phil Fradkin
16 days
Each year MLCB is such a great experience and a great place for ML + Bio folks to meet and catch up!
@david_a_knowles
David A Knowles (@davidaknowles.bsky.social)
17 days
#MLCB2025 will be Sept 10-11 at @nygenome in NYC! Paper deadline June 1st & in-person registration will open in May. Join our mailing list for future announcements. More details at Please RT!
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@phil_fradkin
Phil Fradkin
16 days
RT @RexMa9: 1/ Really excited to see IntegrAO (Integrate Any Omics) 🧬, a multi-omics integration framework, has been published in Nature Ma…
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@phil_fradkin
Phil Fradkin
1 month
RT @genophoria: A month ago we @vevo_ai announced that we have generated the largest single-cell perturbation atlas in history, Tahoe-100M.…
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@phil_fradkin
Phil Fradkin
1 month
RT @lazar_atan: I had a blast working with such an amazing team! @martoskreto @bose_joey @AlexanderTong7 @k_neklyudov Check out our paper…
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@phil_fradkin
Phil Fradkin
2 months
RT @k_neklyudov: 🧵(1/5) Have you ever wanted to combine different pre-trained diffusion models but don't have time or data to retrain a new…
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@phil_fradkin
Phil Fradkin
2 months
RT @nalidoust: I agree with this that many of the attempts at building an in silico model of cell will not soon lead to fundamental, new di…
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@phil_fradkin
Phil Fradkin
2 months
RT @LNuzhna: Nature just published a piece on why probability doesn't exist. Lee Cronin said many times chemical reactions are not real. Yo…
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@phil_fradkin
Phil Fradkin
2 months
Thanks to the FM4Science workshop at #Neurips for recognizing MolPhenix as best paper! We had so much fun working on this with Puria (co-first author), @karush_, Frederik and co-supervised by Maciej and @dom_beaini @valence_ai @RecursionPharma
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@phil_fradkin
Phil Fradkin
2 months
RT @exnx: Love these guys’ work
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@phil_fradkin
Phil Fradkin
2 months
RT @ianshi3: Phil (@phil_fradkin) and I will be presenting Orthrus ( as a spotlight poster at the Workshop on AI fo…
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@phil_fradkin
Phil Fradkin
2 months
Excited to be presenting Orthrus with @ianshi3 today! We will be presenting our spotlight at the workshop on AI for new drug modalities #NeurIPS2024 Come chat about a new approach to mRNA representation learning!
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@ianshi3
Ian Shi
2 months
Phil (@phil_fradkin) and I will be presenting Orthrus ( as a spotlight poster at the Workshop on AI for New Drug Modalities at #NeurIPS2024! Our poster will be up starting 11:40AM in West Meeting Room 109, 110. Excited to be sharing some new results!
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@phil_fradkin
Phil Fradkin
2 months
RT @hsu_jonny: How Molecules Impact Cells by the @valence_ai team happening now at East Hall! Can we find molecules that can reverse cell…
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@phil_fradkin
Phil Fradkin
2 months
RT @jasonhartford: Come talk to us about how to pair up unpaired multimodal data tomorrow!
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@phil_fradkin
Phil Fradkin
2 months
RT @vallisubasri: My first time @NeurIPSConf, and having so much fun presenting our work GV-Rep!! Great to see old faces and meet new ones…
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@phil_fradkin
Phil Fradkin
2 months
2. Orthrus (spotlight @ AIDrugX): Contrastive learning for mRNA representations with biologically inspired augmentations Looking forward to seeing friends and meeting new folks. Happy to chat about these mythically named methods and other ideas for cellular rep. & gen. learning!
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