Welcome to my personal website!  I’m an Assistant Professor at Harvard housed in the Department of Technology and Operations Management (TOM) at HBS, the Co-Principal Investigator of the Secure and Fair Machine Learning Lab (SAFR ML) in Harvard’s new D^3 Institute, and the Co-founder of  Welligence. Welligence is a fintech company focused on the energy sector and backed by leading energy investors like Quantum Energy Partners. I was named to the Forbes 30 under 30 list in in 2019.

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.

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

Advising: 

• Peter Chang, Research Associate. 2022-2024.
• 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)