I am an assistant professor in the Department of Industrial and Systems Engineering at the University of Florida. Previously, I was a postdoctoral researcher under Andrea Lodi at Polytechnique Montréal. Before that, I graduated with my Ph.D. in Algorithms, Combinatorics, and Optimization from Carnegie Mellon University in May 2018, under Egon Balas.
- May 2021: I (virtually) presented my talk on Strengthening V-Polyhedral Disjunctive Cuts at the 2021 Mixed Integer Programming Workshop; the talk is available on YouTube.
- January 2021: I started a new job as an assistant professor at the University of Florida, Department of Industrial and Systems Engineering! If you are applying to, or already a student at, UF and you are interested in working with me, please see the Students section below.
- June 21, 2020: Please join and contribute to Discrete Optimization Chats, a virtual gathering place for the discrete optimization community.
- April 13, 2020: Elias B. Khalil and I are organizing virtual Discrete Optimization Talks (DOTs). Visit the DOT website for the details.
- April 9, 2020: I am keeping a list of virtual seminars.
- Old news: I founded the INFORMS Student Chapter at CMU, which I encourage the CMU community to join. The chapter has been recognized several times by INFORMS for its activities. I was also the founding chair of the YinzOR Student Conference, an annual student-led conference organized by CMU INFORMS.
I am actively seeking students, both undergraduate and graduate, to work on discrete optimization, computational economics, or their intersection. If you are interested in working with me, you are welcome (but not required) to send me an email with your CV and describe your research interests. A strong email is personalized to me; I am likely to not respond to a generic request.
I am committed to promoting equity, diversity, and inclusion within the research team. All applications are welcome, including those from women, underrepresented minorities, indigenous people, people with any sexual orientation or gender identity, people with disabilities or health issues, and people from economically disadvantaged backgrounds. Research can be a challenging and taxing endeavor, especially during the initial transition period, and I make concerted efforts to support my students with that in mind. I also encourage students to take advantage of the Office of Graduate Diversity Initatives.
My research is on the methodology and applications of discrete optimization. In particular, I work on improving integer programming techniques, as well as designing and analyzing fair mechanisms for the allocation of indivisible resources.
I am interested in all aspects of discrete decision analytics, including theoretical, computational, and applied projects, as well as applying novel methods such as machine learning algorithms that can substantially outperform hand-engineered components of optimization solvers. I emphasize prosocial applications, such as in the nonprofit or healthcare sectors, though I also do research in sports analytics.
Cutting plane methods
Partial Hyperplane Activation for Generalized Intersection Cuts
- Previously appeared as a poster, Computational investigation of generalized intersection cuts, at the Mixed Integer Programming Workshop in 2014, where it won the Best Poster Prize.
V-Polyhedral Disjunctive Cuts
Cutting Planes by Tilting
- Appeared as a poster, Cutting planes by tilting, at the Mixed Integer Programming Workshop in 2016, where it won an Honorable Mention in the poster competition.
- Cutting Plane Generation Through Sparse Principal Component Analysis
Computational social choice
On Tanking and Competitive Balance: Reconciling Conflicting Incentives
With S. Vardi. Working paper.
- An earlier version was peer-reviewed and presented at the Conference on Algorithmic Decision Theory in October 2019.
- How to Make Envy Vanish Over Time
Small Representations of Big Kidney Exchange Graphs
With J.P. Dickerson, A.D. Procaccia, and T. Sandholm. AAAI Conference on Artificial Intelligence, 2017.
- Previously presented at EXPLORE workshop at AAMAS 2016, where it was awarded Most Visionary Paper.
- Envy-Free Division of Sellable Goods
Guessing Preferences: A New Approach to Multi-Attribute Ranking and Selection
With P.I. Frazier. Winter Simulation Conference, 2011.