Working at the intersection of AI and drug development. Just here to bool sh*t ✨

Joined September 2022
Cancer patients with the same diagnosis often have very different tumor biology. Molecular testing can reveal underlying differences, but that's slow and expensive. Introducing Holon-S1, our platform to predict genes and biomarkers from routine pathology slides. • beats two other models at predicting spatial gene activity in a controlled comparison • has identified potentially novel biomarkers in breast cancer and colon cancer • evaluated across 16 organ types and more than 15 scanners, using slides from both formalin-fixed, paraffin-embedded and fresh-frozen tissue. We believe Holon-S1 has the potential to help researchers find new biomarkers in slides they already have, discover treatment targets, and bring more personalized cancer care within reach!
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Next year, I will assign one of my jira tickets to every kid in America. This will be the first of many.
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The slippery-slope case against germline editing collapses on contact with reality. The biologically disadvantaged underclass it warns against, is precisely what exists today for families living with heritable disease.
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at ucsf
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AI is helping break the paradigm that slow development is “good” development in biopharma.
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Every day we get closer to a world where people can be born without inherited disease
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Incredible news! Looking forward to a future with more babies and less genetic disease.
IRB approval secured. Origin Genomics begins human embryo gene editing experiments in the NYC lab.
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Bio red-teaming group called mCherry
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I interviewed @geochurch and learnt we're already gene editing humans. You just haven't noticed. 0:00 - Gene Editing Mammals → Humans 8:36 - Germline vs Somatic 14:56 - Modified Humans Are Already Here 18:50 - Enhancing Healthy Humans 25:00 - Aging Therapies vs Cognitive Enhancement 30:20 - Embryo Selection 38:10 - Is US Losing To UAE? 42:33 - Biotech Failures 49:31 - Next Dire Wolf Moment 54:21 - AI x Science 1:02:07 - Synthetizing Entire Genomes
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Does anyone else start feeling sick after spending too much time with the in vivo data? I went into computation because in vivo breaks my heart. Here I am again 💔
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Less model wrappers, more cloud labs.
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I drink alcohol sometimes, but only for the dropout regularization
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Wow! This is so cool and way more fun than boring BioRender! Plus, developing fine motor skills through hand drawing and creativity without limitations in shapes or form! Try it out yourself here chat.figurelabs.ai/invitatio…
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Really excited for 2026. Some trends in Bio x AI that I’m optimistic about are integrated AI design + testing platforms and cloud labs. Timelines already shorten when you don’t need to ship materials around or deal with customs.
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Maybe my intuition is wrong, but being obsessed with business strategy instead of just building whatever you can build is a huge pitfall.
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This week I learned the hard way what a boot manager is 😅
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ML/AI in biopharma is anyone’s game. There is no data moat.
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