Computational and Biological Learning Lab

Austin Tripp


Austin is a PhD student in the Cambridge Machine Learning group, researching machine learning with a focus on scientific applications (especially chemistry and materials). He is supervised by José Miguel Hernández-Lobato and advised by Adrian Weller.

Before coming to Cambridge, he received a BASc in nanotechnology engineering from the University of Waterloo in Canada. He is funded by a C.T. Taylor scholarship from the Cambridge Trust.