Seth Viren Neel 

Screen Shot 2018-11-28 at 9.48.56 PMHi! I’m in my fifth and final year of a Ph.D. in Statistics at The Wharton School, University of Pennsylvania where I’m under the supervision of  Michael Kearns and Aaron Roth. I’m supported by a 2017 NSF Graduate Fellowship . My primary research (Google Scholar) is on algorithmic fairness and differential privacy. More generally, I am interested in all mathematical aspects of machine learning and artificial intelligence. I like to design algorithms I can turn into code, some of which can be found here  .

I graduated with a math degree from Harvard in 2015. Outside of research I am a co-founder and Chief Data Scientist of  Welligence, a fintech company focused on the energy sector. I was named to the Forbes 30 under 30 list in the Energy category in 2019.

Research  Differential Privacy Fairness in Machine Learning

All author ordering is strictly alphabetical. My research has two threads:

  1. Fairness in Machine Learning (design of new algorithms and fairness notions, in the online, bandit, batch settings)
  2. The study of fundamental problems in differential privacy, with an emphasis on private learning and adaptive data analysis

Preprints

14. Eliciting and Enforcing Subjective Individual Fairness

Publications

13. A New Analysis of Differential Privacy’s Generalization Guarantees [ITCS ’20] regular talk slot!

12. The Role of Interactivity in Local Differential Privacy  [FOCS ’19]

11. How to use Heuristics for Differential Privacy  [FOCS ’19] 

10. Differentially Private Objective Perturbation: Beyond Smoothness and Convexity [NEURIPS Workshop on Privacy in ML ’19]

9. Optimal, Truthful, and Private Securities Lending [NEURIPS Workshop on Robust AI in Financial Services ’19] selected for oral presentation!

8. An Empirical Study of Rich Subgroup Fairness for Machine Learning [ACM FAT* ’19, ML track]

7. Fair Algorithms for Learning in Allocation Problems [ACM FAT* ’19, ML track]

6. Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness [ICML ’18, EC MD4SG ’18]

Mahalanobis Matching and Equal Percent Bias Reduction[Senior Thesis, Harvard ’15]

Plane Partitions and Domino Tilings [Intel Science Talent Search Semifinalist, ’11]

Talks & Service

Media

Forbes 30 under 30 in Energy 2019

The Future of Entrepreneurship is Students 
(Forbes, May 2018)
Screen Shot 2018-06-08 at 1.21.35 AM.png

Facebook's Racially Targeted Ads Aren't as Racist As You Think

(Wired, Nov. 2016)

The Best Time to Play Powerball Could Have Been 600m Ago

(CNBC, Jan. 2016)

Contact

Office(s):  416B‐1 B-Wing, 3401 Walnut Street, Philadelphia, PA (CompSci), 1635 Market St. 16th Floor, Philadelphia, PA (Welligence)

Email(s): firstname.lastname@welligence.com (company) fullname@wharton.upenn.edu (academic)

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