I am a computer scientist with a background in logic, probabilistic inference/learning and artificial intelligence. Currently at Invitae, I apply probabilistic machine learning models for challenging problems in computational biology. Some of the projects that I have worked on include developing a probabilistic model for variant interpretation and developing an algorithm to leverage our sequence database together with population genetics to impute missing data for targeted panels.

Beyond the application of ML to biology/genetics, I am interested ML formalisms that leverage structured representations of domain knowledge in the form of graphs and logical rules/theories – statistical relational learning, probabilistic (logic) programming etc. I have expertise in related tools such as ProbLog and Pyro.