Course description

This is a graduate-level seminar course focusing on current topics in computational genetics. It is intended for PhD students with interest in research problems in computational genetics. Topics will cover problems in medical and population genetics, statistical models that are needed to make inferences in these problems, and scalable inference in these models. Given the timing, we will focus on the recent work to understand the COVID-19 outbreak.


Must have taken graduate level courses in computational genetics (CM226 or CM224) and/or machine learning (CS260). You will need instructor permission to enroll. If you are interested in taking the course, please email me with information about prior coursework and research experience.

Contact Info

Instructor: Sriram Sankararaman
Office Hours: By appointment
Email: sriram at cs dot ucla dot edu

Course format


Tentative Schedule

See here