Work on problems that matter
Build AI methods for clinical care, trials, therapeutics, biosignals, and privacy-preserving health data instead of toy benchmarks.
CS students and postdocs
Build publishable, usable, reproducible AI for healthcare.
This is the main recruiting path for computer science PhD students, MS students with strong research potential, and postdocs who want to create new ML methods while working close to clinical and life-science impact.
500+ publications40k+ citationsOpen-source entry point through PyHealth
Ship research software
Use PyHealth and related open-source projects as a concrete way to turn papers into reusable tools and visible technical artifacts.
Grow a strong research profile
Sunlab combines high-impact publications, real data partners, and translational projects that can support academic, industry, or startup careers.
Send a focused application email.
Use Gmail in the browser or your preferred email tool. Attach or link your CV, coding samples, representative papers or projects, research interests, and why Sunlab is the right fit for your next step.
SubjectProspective CS student or postdoc for Sunlab
Code
Share code that shows engineering maturity, reproducible experiments, clean implementation, or useful open-source contribution.
Research fit
Explain the problem you want to own, the gap you see, and how it connects to a real healthcare or biomedical decision.
Collaboration style
Show that you can work with messy data, clinicians, scientists, and software users rather than only isolated benchmarks.
Strong applications are specific and evidence-backed.
The best emails put links first: GitHub, project demos, reproducible experiments, representative papers, or a PyHealth contribution. Then add a few sentences about one Sunlab direction you could contribute to immediately.