Colin White


I design algorithms that create advanced AI algorithms.

I am Head of Research at Abacus.AI in San Francisco. Our work focuses on AutoML, explainability, bias, and other areas of machine learning. I am particularly interested in neural architecture search, hyperparameter optimization, and mitigating bias in ML models.

I graduated from Carnegie Mellon University with a Ph.D. in computer science. I was fortunate to be advised by Nina Balcan, and I was supported by the NDSEG Fellowship. I received my undergraduate degree from Amherst College.

For more, see my CV (last updated Oct. 2021).


  • November 20: I am giving a talk about research methodology at Judson University. My slides are here.
  • November 13: I am giving a talk at PhxMobi. My slides are here.
  • Three papers accepted at NeurIPS 2021 (ref1, ref2, ref3).
  • We achieved second place in the Unseen Data in Neural Architecture Search competition at CVPR 2021 (certificate)!



  • Co-organizer for the 8th AutoML Workshop at ICML 2021.
    Top 8% of reviewers at NeurIPS 2021
    Top 10% of reviewers and expert reviewer at ICML 2021
    Top 10% of reviewers at NeurIPS 2020
    Top 50% of reviewers at NeurIPS 2019