Andy Huynh

Boston University

About Me

I'm a graduate student at Boston University working with Manos Athanassoulis. My research interest are in machine learning, data mining, and high performance computing. Currently I am creating OakDB a robust data system that combats unknown sources of varability.

Prior to Boston University, I was at the University of Minnesota where I graduated Magna Cum Laude in Computer Engineering. During my time there I did research under Vladimir Cherkassky and Bin He. My research in Minnesota dealt primarily with machine learning and it's applications to biomedical sciences.

Recent News

  • May 18, 2020 - Interning at NetApp as a Researcher!
  • April 8, 2020 - Grateful to be awarded the IBM PhD Fellowship
  • Jan 27, 2020 - Presenting a poster at NEDB Day 2020!
  • May 23, 2019 - Interning at Bose as a Machine Learning Engineer!
  • Sept 17, 2018 - Nominated as the PhD department liason this year!