Molecular Biology and Genetics Seminar Series: Sequence-based Machine Learning for Modeling Cell State Transitions
Description
Michael Beer, a professor of biomedical engineering and genetic medicine at the Johns Hopkins University School of Medicine, will give a talk titled "Sequence-based Machine Learning for Modeling Cell State Transitions" as part of the Department of Molecular Biology and Genetics Seminar Series.
Contact crogers4@jhmi.edu for the Zoom link.
Who can attend?
- Faculty
- Staff
- Students
