I am an assistant professor in the Department of Industrial and Systems Engineering at the University of Florida, where I also serve as an assistant director of the Center for Applied Optimization. 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.
- February 2022: I have joined the editorial board for the journal Computational Optimization and Applications.
- September 2021: Adding a new role! I am now an assistant director of the Center for Applied Optimization at UF.
- 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 your research interests. A strong email is personalized to me; I am likely to not respond to a generic request.
Some of the courses / skills that would be helpful for a researcher working with me: linear algebra / matrix analysis, real analysis, convex analysis, linear programming, integer programming, graph theory, computer programming (C++ / Python / Julia), software engineering. Familiarity with LaTeX is helpful to communicate results.
Information on the application procedure for graduate programs, for both master's and doctorate students. The next deadline to apply to the UF ISE PhD program is December 5, 2022, for Fall 2023 admission. This is a priority deadline; you may still apply until January 15, 2023. Please be aware that (in our department) applications are first reviewed by a committee, who make an admission decision. Afterwards, individual faculty members can offer funding for your PhD; typically, students secure funding before accepting a PhD offer. I schedule interviews with prospective PhD candidates to my group through early March, after initial decisions are made by the admissions committee.
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, and 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.
- Cutting Plane Generation Through Sparse Principal Component Analysis
- An Abstract Model for Branch-and-Cut
V-Polyhedral Disjunctive Cuts
With E. Balas.
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.
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.