Harrison G. Zhang
@harrison_zhang
MD-PhD trainee @Stanford. Machine learning & genomics for precision medicine & global health. 🧬📊🌎 Prev @Columbia @HarvardDBMI
ID: 938561393053372416
https://scholar.google.com/citations?user=d2JMhbEAAAAJ&hl=en 07-12-2017 00:10:48
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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 💡 💭
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!!
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 👇🏼
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! ✨ ✨
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
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