Egbert Castro
A caffeinated computational biology grad student
I’m currently a PhD student studying Computational Biology and Bioinformatics at Yale University. I enjoy crossing disciplines and learning how machine learning can improve our understanding of biomolecular structure and function.
What’s New
- (06/19) I’ve joined the Krishnaswamy Lab at Yale
- (07/20) Presented my work at the GRL+ workshop at ICML 2020
- (12/20) Presented a paper at IEEE Big Data 2020
- (9/1) Building something very exciting. Hoping to announce early 2022
- (12/7) Accepted into the Founder Frequency program at Pillar
- (12/14) Presenting a poster at LMRL workshop at Neurips 2021
A Little About Me
Before graduate school, I interned at Genentech applying machine learning to internal chemical data for property prediction. I majored in Pharmacological Chemistry with a minor in Mathematics at UC San Diego, where I conducted research in the Amaro Lab and Walker Lab.