picture of me in Milan, Italy

Daniel Alabi

alabid [at] g [dot] harvard [dot] edu
G1 Ph.D. student at Harvard University.

Currently, my research interests are in data systems, graph theory and analytics, optimization, and algorithms for massive datasets.

Previously, I spent a year as a graduate research assistant at Columbia University, working with Prof. Chris Wiggins and Prof. Eugene Wu. Before coming back to academia, I was a Software Engineer on the distributed systems team at MongoDB. I obtained my bachelor's degrees in Mathematics and Computer Science from Carleton College where I was a Kellogg International Scholar.

Selected Projects

See my GitHub page for projects not listed here.
Scalable Optimal Rule Lists
More Coming Soon...
My research was on the use of human perceptual models to make interactive visualizations faster by leveraging approximation (with formal guarantees).
Collaborative LaTeX editor.


PFunk-H: Approximate Query Processing using Perceptual Models
Daniel Alabi and Eugene Wu.
In Proceedings of the International Workshop on Human-in-the-Loop Data Analytics (HILDA), June, 2016  [pdf]  [bib]
Poster at North East Database Day, January, 2016.
Selected for full oral presentation at HILDA 2016


Check out some of my instructional worksheets.