From UBC iGEM to MIT to industry: how network science, deep learning, and Bayesian methods show up in biological engineering.
A virtual fireside chat with UBC's MICB 448S (Introduction to Biological Machines) seminar. I trace my journey from UBC integrated sciences and the founding days of UBC iGEM, through my ScD in MIT Biological Engineering, to industry data science, and describe how computational biology shows up in biological engineering along the way: network science, deep learning, and Bayesian methods applied to biological problems.