Daniel Alabi

Daniel Alabi

Graduate Student
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Daniel is a Computer Science Ph.D. student at Harvard University.

His research interests lie in theoretical computer science (algorithms & complexity theory) with a focus on optimization/learning with constraints. Example application domains include data privacy, algorithmic fairness, and machine learning.

Currently, his research is (mostly) supported by a Facebook Emerging Scholars Award. He spent the summer of 2018 at Microsoft Research New England mentored by Adam Kalai! In his first year at Harvard, under supervision by Cynthia Rudin and Margo Seltzer, he dabbled in interpretable ML models. Previously, he spent a year as a (non-PhD) graduate research scholar at Columbia University, working with Chris Wiggins and Eugene Wu. Before coming back to academia, he was a Software Engineer on the distributed systems team at MongoDB. He obtained his bachelor's degrees in Mathematics and Computer Science from Carleton College, where he was a Kellogg International Scholar.

In his free (and not-so-free) time, he participates in ballroom activities as a member of Harvard's Competitive Ballroom Dance Team.

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