I had 3 rounds. The first was with a member of the team, where I explained my research and elaborated on technical details to demonstrate my understanding of comp bio/ML. The second round was a coding round where they asked me to code k-means from scratch. They also asked me technical ML questions. Third round was with the director, and it focused a lot on biological interpretation of ML concepts in bionformatic methods.
Interview questions [1]
Question 1
Which ensemble learning method, random forest or gradient boosting, has more bias and which one has more variance?