Despite the common misconception that a PhD involves a narrow focus, this seems broad: coursework and rotations in various research groups to interdisciplinary work in computational biology, chemistry, and physics, starting with ML theory but then moving on to practical application with protein sims.
All the collab is impressive also- Google, Pfizer, Merck, and some startups.
I’m a fan of PhDs open-sourcing and providing open datasets also. DeepChem, MoleculeNet, etc. I heavily referenced open PhD work in one of my last jobs that I wouldn’t have been able to do myself. I’d bet many solutions provided by LLMs are based on published PhD work also.
It would’ve been nice to get a PhD. It takes more focus and discipline though than I think I’ll ever have.