Egbert Castro Egbert Castro | Just a blog about my experience at the interface of biology and machine learning.
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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.