Harrison G. Zhang (@harrison_zhang) 's Twitter Profile
Harrison G. Zhang

@harrison_zhang

MD-PhD trainee @Stanford. Machine learning & genomics for precision medicine & global health. 🧬📊🌎 Prev @Columbia @HarvardDBMI

ID: 938561393053372416

linkhttps://scholar.google.com/citations?user=d2JMhbEAAAAJ&hl=en calendar_today07-12-2017 00:10:48

218 Tweet

508 Followers

621 Following

Harrison G. Zhang (@harrison_zhang) 's Twitter Profile Photo

Honored and humbled to have spent the evening chatting with the legendary Dr. David Baltimore, who discovered reverse transcriptase, NF-kB signaling, and RAG protein among many other discoveries ✨🧬 “Follow your own nose and follow your own creativity” — Dr David Baltimore

Honored and humbled to have spent the evening chatting with the legendary Dr. David Baltimore, who discovered reverse transcriptase, NF-kB signaling, and RAG protein among many other discoveries ✨🧬

“Follow your own nose and follow your own creativity” — Dr David Baltimore
Harrison G. Zhang (@harrison_zhang) 's Twitter Profile Photo

Day 2 of Stanford MSTP retreat is an exciting full day of cross pollination between us and the UCSF MSTP UC San Francisco — always exciting to meet brilliant faculty + trainees to exchange ideas 💡 💭

Harrison G. Zhang (@harrison_zhang) 's Twitter Profile Photo

Back in NYC for the annual Samvid Ventures leadership conference. It is a blessing to set aside dedicated time each year to reconnect with our insanely talented community & reflect on our goals together ✨💫 Love hearing about how scholars are thriving in grad school!!

Back in NYC for the annual <a href="/SamvidVentures/">Samvid Ventures</a> leadership conference. It is a blessing to set aside dedicated time each year to reconnect with our insanely talented community &amp; reflect on our goals together ✨💫 

Love hearing about how scholars are thriving in grad school!!
Nature Methods (@naturemethods) 's Twitter Profile Photo

Generative AI, large language models, transformers, foundation models - what does it all mean and what is the potential impact on your research? Whether you're an AI novice or an AI expert, we invite you to read our Focus issue on advanced AI in biology. nature.com/nmeth/volumes/…

Harrison G. Zhang (@harrison_zhang) 's Twitter Profile Photo

For those curious about the potential behind the marriage of AI & modern biology: inspiring read on a topic always on my mind & written by one of our all star classmates / close friend Maggie Chen Check it out 👇🏼

Harrison G. Zhang (@harrison_zhang) 's Twitter Profile Photo

Now renamed after its one-of-a-kind director Susanne by DBMI at Harvard Med Isaac Kohane, SIBMI was the career defining opportunity for me in undergrad If you want to develop data-driven methods that will transform the science & practice of medicine, you don’t want to miss this! ✨ ✨

David Shaywitz (@dshaywitz) 's Twitter Profile Photo

File this under great news of day - Susanne Churchill (as so many at Harvard Medical School know) is both an institutional treasure as well as fierce advocate for students, trainees, DBMI at Harvard Med, and medical education - wonderful to see her recognized this way!! Isaac Kohane

Arc Institute (@arcinstitute) 's Twitter Profile Photo

Today, we're launching the Arc Virtual Cell Atlas, a growing resource for computation-ready single-cell measurements. As the initial contributions, Vevo Therapeutics has open sourced Tahoe-100M, the world's largest single-cell dataset, mapping 60,000 drug-cell interactions, and we’re

Today, we're launching the Arc Virtual Cell Atlas, a growing resource for computation-ready single-cell measurements. As the initial contributions, <a href="/vevo_ai/">Vevo Therapeutics</a> has open sourced Tahoe-100M, the world's largest single-cell dataset, mapping 60,000 drug-cell interactions, and we’re
Harrison G. Zhang (@harrison_zhang) 's Twitter Profile Photo

Can frontier LLMs reason over human genetic variation to extract a variant's clinical significance? 🩺🧬 We introduce CGBench: a benchmark for evaluating scientific reasoning in language models for clinical genetics. Awesome work led by Owen Queen w/ James Zou