- A startup emerged in the AI + biotech bubble with no real products but full of "great" visions; - A startup with no sustainable buz. model: heavily rely on pharma companies' R&D contracts; highly sales-driven; - A biotech starup with no FDA approved product; - A tech startup with no diversity (just skim their team and you will find out) - Has no standard interview process, very likely to introduce interviewer' biase; (which is ironic for a so-called AI company) - Junior management team with no entrepreneurial/industrial experience: a bunch of fresh graduates including CTO; - Overall AI in digital pathology is a small biz but a big hype; - Not sure how innovative they are, but most AI startups just use & modify open-sourced models and use them to raise millions of dumb money;

Two coding problem. Easy, array focused and debugging. Two ML screens - one on research and the other on systems. New grad can crack after 1 month of prep. ML was around regularization and second order optimization.