3330 Walnut Street, Levine 614
Philadelphia, PA 19104
Email: ldworkin [at] seas [dot] upenn [dot] edu

About Me

I am Ph.D. student advised by Michael Kearns in the Computer and Information Science Department at the University of Pennsylvania. My research interests involve the application of both theoretical and empirical machine learning techniques to solve various real-world problems in the fields of finance, game theory, and others.

Before coming to Penn, I received my Bachelor's degree in Computer Science and Mathematics from Haverford College in May 2011.


Online Learning and Profit Maximization from Revealed Preferences. With Kareem Amin, Rachel Cummings, Michael Kearns, and Aaron Roth. AAAI 2015.
A Computational Study of Feasible Repackings in the FCC Incentive Auctions. With Michael Kearns. White paper filed with Federal Communications Commission, June 2014. (Ex Parte Cover Letter)
Pursuit-Evasion Without Regret, with an Application to Trading. With Michael Kearns and Yuriy Nevmyvaka. ICML 2014.
Efficient Inference for Complex Queries on Complex Distributions. With Michael Kearns and Lirong Xia. AISTATS 2014.


2013 - 2014 Center for Teaching and Learning Graduate Fellow for Teaching Excellence
2012 - 2013 Computer and Information Science Teaching Practicum Award
2011 - 2012 National Science Foundation Graduate Research Fellowship


Fall 2014 Instructor for CIS 192: Python Programming
Fall 2014 Teaching Staff for the 3rd Networked Life offering on Coursera
Spring 2013 Instructor for CIS 192: Python Programming
Fall 2013 Teaching Staff for the 2nd Networked Life offering on Coursera
Fall 2013 Teaching Assistant for NETS 112: Networked Life
Spring 2013 Teaching Assistant for NETS 150: Market and Social Systems on the Internet

Other Experience

2012 Software Engineer, Pulse News (now LinkedIn Pulse)