Upcoming talks/panels:

  • ISMP 2024
  • INFORMS 2024

Past talks:

  • Oracle Retail Data Science, March 2024
  • CMOR, Rice University (March 2024) 
  • NYU Stern (Feb 2024)
  • Distinguished Lecture, 26th Workshop on Combinatorial Optimization, Aussois (January 2024) 
  • Department Seminar, Operations Research and Financial Engineering, Princeton University (November 2023)
  • Responsible AI Workshop, at Columbia Business School, (September 2023)
  • MSRI Introductory Workshop: Algorithms, Fairness, and Equity (August 2023) 
  • Gene Golub SIAM Summer School (apply here) (August 2023)
  • The Jon-Shmuel Halfway to Twelfty Workshop (July 2023) 
  • ICERM semester long program at Brown University: Discrete Optimization: Mathematics, Algorithms and Computation, Jan 2023 – May 2023, (organizer for last workshop on Trends in Combinatorial Optimization, and speaking March 2023).
    • Combinatorics and Optimization: “Reusing Cuts in Iterative Projections over Submodular Polytopes”
  • Panel on “Implications of Data and Algorithms”, Symposium on Social and Ethical Responsible Computing, MIT (April 2023) 
  • Texas A&M University, January 2023. 
  • Los Alamos National Lab Grid Science Winter School and Conference, Jan 9 – 13, 2023 (organizer and speaker) 
  • National Institute of Industrial Engineering (NITIE), Mumbai, India, November 14, 2022. 
  • UC Berkeley IEOR, Departmental Seminar, October 2022 
  • Workshop on Quantum Computing and Operations Research, Fields Institute, October 13-14, 2022. (organizing committee) 
  • INFORMS Annual Meeting, Indianapolis, October 16 – 19, 2022 (students speaking)
  • Future of data-Centric AI 2022, August 2022
  • Keynote at Lorentz Center’s workshop on “Advanced Optimization for Social Choice”, July 2022
  • Panel on Trustworthy AI: a Practical Roadmap for Government, organized by Snorkel AI, April 2022
  • DOT Seminar Series, April 2022
  • NSF-FET Workshop on Ising Machines, Frontiers in Emerging Technologies within NSF’s CISE (Computer and Information Science and Engineering) Directorate, April 2022
  • UBC Sauder School of Business, March 2022
  • IISc-MSR Theory Seminar, March 2022 (video available here)
  • NSF Tripods-X Workshop on ML & Supply Chain Management, Lehigh University, Dec 2021
  • Theory of Computing for Fairness, a Simons Collaboration Project, December 2021
  • Georgia Tech Research Institute, November 2021
  • IEEE Quantum Week 2021 Workshop, October 2021
  • Auctions and Market Design Cluster, INFORMS Annual Meeting, October 2021 
  • Machine Learning for Industry Forum 2021 (ML4I 2021), Lawrence Livermore National Laboratory, August 2021
  • Tapia Center for Excellence and Equity in Education, Rice University, Texas, June 2021.
  • “Crossing Disciplines: Studying Fairness, Bias, and Inequality in Management and Decision Sciences Research”, at Harvard Business School, May 2021
  • Lehigh University (ISE), April 2021
  • Guest Lecture in Wharton University (OIDD 941), April 2021
  • Institute of Operations Research and Analytics, National University of Singapore, March 2021
  • Electrical Flows over Spanning Trees, Department of ISE, Virginia Tech, March 2021
  • Electrical Flows on Spanning Trees, Algorithms and Randomness Center, Georgia Tech, February 2021
  • Mathematics of Bias and Fairness, MIT Operations Research Center Seminar on “Policy making in OR”, January 2021
  • Mathematics of Bias and Fairness, Amazon Research, January 2021
  • Bridging Classical and Quantum Computing with Warm-starts and Coupling Graphs, IBM Research Zurich, November 2020
  • Presentations at INFORMS, November 2020:
    • Hassan Mortagy – “Walking in the Shadow: A New Perspective on Descent Directions for constrained minimization” (video),
    • Cyrus Hettle – “Balanced Districting with Provable Compactness and Contiguity” (video),
    • Jad Salem – “Individual Fairness in Pricing” (video),
    • Reuben Tate – “Bridging Classical and Quantum Optimization using SDP initialized warm-starts” (video).
  • Mathematics of Fairness and Bias, Oracle Research Group, October 2020
  • Mathematics of Fairness and Bias, LIONS Seminar, Arizona State University, October 2020
  • Fairness and Bias in Tooling, Zillow Group, August 2020
  • GT Library’s Symposium on Interaction of Privacy and Autonomy, August 2020.
  • OR for Social Good, Canadian Operational Research Society, June  Conference, Toronto, (June 8-10), 2020. (cancelled due to COVID)
  • Classification Society Meeting, (June 17-20), 2020. (cancelled due to COVID)
  • Jon-Shmuel Halfway to Twelfty, Paris, (July 7-10), 2020. (postponed due to COVID)
  • IOS Conference 2020 (postponed March 15-17)
  • CDC Workshop on AI4PH (AI for Public Health),  (postponed, March 26-27, 2020).
  • ITA Workshop, San Diego, February 2-7, 2020.
  • Workshop on Data Science and Optimization and Workshop on Optimization, Fields Institute, Toronto, November 18-28, 2019.
  • 11th OPT workshop on Optimization in ML, University of British Columbia, December 13, 2019.
  • New Advances in Interdisciplinary Research: Bridging Operations Research and PES, IEEE Power & Electrical Society General Meeting, 4-8 August 2019
  • Mixed Integer Programming Workshop (MIP), July 15 – 18, 2019 MIT Sloan School of Management, Cambridge. (slides)
  • Simons Institute Recent Developments in Research on Fairness Workshop, Simons Institute, July 8-10 2019.
  • Simons Institute Real-Time Decision Making Reunion Workshop, June 2-5, 2019.
  • Global Privacy Summit, Washington DC, 2-3 May, 2019.
  • AMS Sectional Meeting on Sparsity, Randomness and Optimization, University of Hawaii at Manoa, Honolulu, March 22-24, 2019.
  • Prediction, Algorithms and Subsets, Grade 2 Students at Middlevale Elementary School, Dekalb County, March 7, 2019.
  • Individual Fairness in Hindsight, ITA Workshop, UC San Diego, February 14/15, 2019.
  • Convex Minimization over Submodular Polytopes, CORE Research Seminar, Université catholique de Louvain, February 4, 2019.
  • Panel on Policing, Microtargeting and the Right to Reasonable Algorithmic Inferences, at the CPDP February 1, 2019. (slides)
  • FOCUS Scholars 2019 (Georgia Tech) on Algorithmic Fairness, January 18, 2019.
  • Simons Institute Bridging Discrete and Continuous Optimization Reunion Workshop, on Limited Memory Kelley’s Method, December 12th, 2018.
  • NeurIPS 2018:
    • Limited Memory Kelley’s Method Converges Linearly for Composite Objectives (spotlight), 3:30-5:00 PM, November 6th (presenter: Madeleine Udell).
    • Temporal Aspects of Individual Fairness, Workshop on Ethics, Social and Governance Issues in AI, 2018, November 7th.
    • Fairness in the Face of Uncertainty, Workshop on Ethics, Social and Governance Issues in AI, 2018 (presenter: Michael Wang), November 7th.
  • INFORMS 2018:
    • Fairness Metrics in Facility Location Problems, in Fairness in Operations Research Session (organized by John Silberholz and I), @INFORMS Annual Meeting, WD09, November 7, 3:20 – 4:50 PM (presenter: Gireeja Ranade).
    • On Low-Rank Quasi-Convex Minimization for Combinatorial Problems, in INFORMS Annual Meeting, TB20, November 6, 11:30 AM – 11:50 AM (presenter: Orestis Papadigenopoulos).
    • Limited Memory Kelley’s Method Converges for Composite Convex and Submodular Objectives – INFORMS Annual Meeting, SD26, November 4, 4:30 – 6 PM, in INFORMS Undergraduate Research Competition (presenter: Sam Zhou).
  • Bregman Projections on Submodular Base Polytopes, in Optimization for Machine Learning Workshop at NIPS , December 10, 2016 (Barcelona, Spain). (poster)
  • INFORMS, November 13- 16, 2016 (Nashville, USA).
    • Learning Combinatorial Structures on Sunday 13 November, 8 – 9:30 AM, SA12, 104B-MCC.
    • An Efficient Algorithm for Dynamic Pricing using a Graphical Representation, on Tuesday 15 November, 8:00-9:30 AM, TA88, Broadway B-Omni. (Finalist for Service Science Section Student Paper Competition!)
  • Learning Combinatorial Structures, Cornell ORIE Workshop on Data-Driven Decision Making, Ithaca, NY, 14-15 October 2016.
  • Solving Combinatorial Games using Products, Projections and Lexicographically Optimal Bases, at Google Research, New York, April 14, 2016.
  • Solving Combinatorial Games using Products, Projections and Lexicographically Optimal Bases, at the DBLab (CSE), Boston University, March 3, 2016.
  • Learning Faster Combinatorial Structures, EECS Research Support Dinner at MIT,  on “Machine Learning Theory and Applications”, February 16, 2016.
  • Games People (Could not) Play, OPT-ML Reading group at MIT, November 2, 2015.
  • INFORMS, November 1 – 4, 2015 (Philadelphia, USA).
    • Winter is Coming: A Robust Optimization Approach to Inventory Routing, November 1, 8:00-9:30 AM.
    • (co-author in) Tutorial by Georgia Perakis: How Analytics can Impact Promotion Pricing,  November 1, 11:00-12:30 PM.
    • Games People (could not) Play, November 1, 1:30-3:00 PM.
    • Dynamic Pricing Through Combinatorial Methods, November 1, 4:30-6:00 PM.
  • Games people (could not) play, at the LIDS student conference at MIT, January 2015.
  • At INFORMS, November 2014 (San Francisco, USA).
    • Games people (could not) play (abstract), 
    • When dynamic pricing meets graph theory (abstract),
    • (Co-author in)  Many heuristics are better that one: A data driven approach to MAX-CUT (presented by John and Iain, abstract),
    • (Co-author in) A tractable approach to robust inventory routing (presented by Joel, abstract).
  • Discrete Online TSP (abstract), at INFORMS 2013, November 2013 (Minnesota, USA).
  • An Analytics Approach to Heuristic Selection, at the Informal Student Research Seminar, Operations Research Center. January 2013 (Cambridge, USA) [Slides]
  • Towards a 4/3 approximation for the metric Traveling Salesman Problem, at the Operations Research Center Alumni Day, MIT. October 2011 (Cambridge, USA) [Poster]
  • Short Tours for Traveling Salesman Problem, at the Grace Hopper Celebration India. December 2010 (Bangalore, India) [Poster]
  • SPAN: A Unified Framework and Toolkit for Querying Heterogeneous Access Policies, at the 4th USENIX Workshop on Hot Topics in Security (HOTSEC). August 2009 (Montreal, Canada) [Slides]

Recorded Talks: