Welcome to my personal website!  I’m an Assistant Professor at Harvard housed in the Department of Technology and Operations Management (TOM) at HBS. I’m Co-Principal Investigator of the Secure and Fair Machine Learning Lab (SAFR ML) in Harvard’s new D^3 Institute, and part of the Theory of Computation research group, and the AI@Harvard Initiative. My primary academic interest is in machine learning, particularly as it concerns ethical notions like fairness and (differential) privacy. More generally, I am interested in all mathematical aspects of artificial intelligence. Recently I lead the integration of algorithms I co-developed during my Ph.D. into the open source efforts of IBM AI Research. I’m also a co-founder of  Welligence. 

With my Co-PI Salil Vadhan, I’m currently hiring research assistants and post-docs for the SAFR ML Lab! Apply.

Advising: 

• Brian Olagoke, D^3 Research Associate. [Current]
• Peter Chang, D^3 Research Associate. [Current]
• Leor Fishman, Undergraduate, Advised Harvard Thesis: “DEADEYE: Differential Expressivity As Dataset fairnEss/usabilitY Estimator.” Graduated 2022. 

Education:

• In 2020 I completed a Ph.D. in the Department of Statistics and Data Science at The Wharton School, University of Pennsylvania where I was advised by  Michael Kearns and Aaron Roth and supported by a 2017 NSF Graduate Fellowship
• I graduated with a math degree from Harvard in 2015

Contact:

Email(s): firstname.lastname at welligence.com (company), sneel at hbs dot edu (academic)