University Seminars
Distinguished Seminars
AI & robust optimization for social good
Clemson University Distinguished Speaker Series
Part of a National Science Foundation Research Traineeship (NRT) Program grant (Nov. 2019)
University Seminars
Title TBD
ISE Seminar Series
Lehigh University, Bethlehem, PA (date TBD)
Title TBD
Seminar speaker series centered on AI and the human sciences
University of Florida (date TBD)
Title TBD
Pitt IE Seminar Series
University of Pittsburgh, Pittsburgh, PA (Nov. 2023)
Learning policies for allocating scarce housing to persons experiencing homelessness
Data Sciences Speaker Series
University of Toronto, Toronto, ON (May 2023)
Learning policies for allocating scarce housing to persons experiencing homelessness
Department of Mechanical & Industrial Engineering
University of Illinois at Chicago, Chicago, IL (Apr. 2023)
Learning policies for allocating scarce housing to persons experiencing homelessness
Cornell Tech Learning Machines Seminar
Cornell Tech, New York City, NY (Apr. 2023)
Robustness, interpretability, and fairness in analytics for social impact
Department of Industrial & Systems Engineering Colloquium Series
University of Wisconsin Madison (Sept. 2022)
Robustness, interpretability, and fairness in predictive and prescriptive analytics for social impact
Institute of Operations Research and Analytics (IORA) Seminar Series
National University of Singapore (Sep. 2022)
Robustness, interpretability, and fairness in predictive and prescriptive analytics for social impact
Department Seminar, Industrial & Systems Engineering (ISE)
University of Florida Gainesville (Mar. 2022)
Robustness, interpretability, and fairness in predictive and prescriptive analytics for social impact
Department Seminar, Industrial & Systems Engineering (ISyE)
University of Minnesota Twin-Cities (Apr. 2022)
Designing robust, interpretable, and fair social and public health interventions
Waterloo Computational Mathematics colloquium, Centre for Computational Mathematics
University of Waterloo (Nov. 2021)
Designing robust, interpretable, and fair social and public health interventions
University of Michigan Institute for Data Science (MIDAS) Seminar
University of Michigan Ann Arbor (Nov. 2021)
Towards efficient, interpretable, and fair social interventions
B’AI Global Forum at the University of Tokyo (Aug. 2021)
Integer optimization for predictive and prescriptive analytics in high stakes domains
Machine Learning NeEDS Mathematical Optimization, virtual seminar series
IMUS-Instituto de Matemáticas de la Universidad de Sevilla and CBS-Copenhagen Business School (Apr. 2021)
Designing robust, interpretable, and fair social and public health interventions
Department of Statistics and Operations Research, ISOR Colloquium
University of Vienna, virtual seminar (Apr. 2021)
Designing robust, interpretable, and fair social and public health interventions
Culverhouse College of Business, University of Alabama, virtual seminar (Mar. 2021)
Designing robust, interpretable, and fair social and public health interventions
School of Industrial and Systems Engineering
University of Oklahoma, virtual seminar (Feb. 2021)
Designing robust, interpretable, and fair social and public health interventions
Foster School of Business, Departmental Seminar
University of Washington Seattle, virtual seminar (Jan. 2021)
Active preference elicitation via adjustable robust optimization
Computational and Data Sciences guest presentation
Washington University in St. Louis, St. Louis, MO (Dec. 2020)
Active preference elicitation via adjustable robust optimization
Department of Industrial & Systems Engineering Colloquium Series
University of Wisconsin Madison (Dec. 2020)
Active preference elicitation via adjustable robust optimization
Discrete Optimization Talks (Webinar) (May 2020)
AI and robust Optimization for social good
Data for Good Seminar Series
Data Science Institute, Columbia University, NY (Oct. 2020)
Robust active preference elicitation to learn the preferences of policy-makers at the Los Angeles Homeless Services Authority
Washington University in Saint Louis, Colloquium Talk
Computer Science & Engineering, St. Louis, MO (Nov. 2019)
Robust optimization with decision-dependent information discovery: active learning of the moral priorities of policy-makers
Industrial Engineering & Management Sciences, Departmental Seminar
Northwestern University, Evanston, IL (May 2019)
Robust optimization with decision-dependent information discovery: active learning of the moral priorities of policy-makers
Industrial Engineering & Operations Research, Departmental Seminar
University of Texas, Austin, TX (May 2019)
Data-driven integer and robust optimization for scarce resource allocation
Department of Mechanical and Industrial Engineering, OR Seminar
University of Toronto, Toronto, ON (Sept. 2018)
Data-driven integer and robust optimization for scarce resource allocation
Department of Industrial Engineering & Operations Research, IEOR-DRO Seminar
Columbia University, New York, NY (Apr. 2018)
Data-driven integer and robust optimization for scarce resource allocation
Industrial and Operations Engineering, IOE Seminar
University of Michigan, Ann Arbor, MI (Apr. 2018)
Data-driven integer and robust optimization for scarce resource allocation
Guest Lecture in "AI for Social Good" seminar course at Institute for Software Research
Carnegie Mellon University, Pittsburgh, PA (Mar. 2018)
Optimization and analytics for social good
H. Milton Stewart School of Industrial & Systems Engineering, ISyE Special Seminar
Georgia Tech, Atlanta, GA (Nov. 2017)
Optimization and analytics for social good
Department of Industrial & Systems Engineering, Graduate Seminar Series
University of Washington, Seattle, WA (Nov. 2017)
AI for Social Good
USC CAIS Seminar Series 2017
University of Southern California, Los Angeles, CA (Sep. 2017)
Dynamic learning and information discovery: an adaptive optimization perspective
Department of Electrical Engineering
University of Southern California, Los Angeles, CA (Nov. 2015)
Dynamic learning and information discovery: an adaptive optimization perspective
Department of Computer Science, Teamcore Seminar
University of Southern California, Los Angeles, CA (Oct. 2015)
Data-driven learning under uncertainty: an adaptive optimization perspective
Information and Decision Sciences, UIC College of Business
University of Illinois Chicago, Chicago, IL (Mar. 2015)
Data-driven learning under uncertainty: an adaptive optimization perspective
MIT Sloan Operations Management Seminar
MIT Sloan School of Management, Cambridge, MA (Mar. 2015)
Data-driven learning under uncertainty: an adaptive optimization perspective
Amazon Seller Services, Fulfillment By Amazon, Amazon, Seattle, WA (Mar. 2015)
Data-driven learning under uncertainty: an adaptive optimization perspective
Industrial and Systems Engineering Seminar
University of Southern California, Los Angeles, CA (Mar. 2015)
Data-driven learning under uncertainty: an adaptive optimization perspective
Mechanical and Industrial Engineering, University to Toronto, Toronto, ON (Feb. 2015)
Data-driven learning under uncertainty: an adaptive optimization perspective
Operations Research & Industrial Engineering
University of Texas at Austin, Austin, TX (Feb. 2015)
Data-driven learning under uncertainty: an adaptive optimization perspective
Industrial and Systems Engineering Seminar
University of Florida, Gainsville, FL (Feb. 2015)
Data-driven learning in dynamic pricing using adaptive optimization
Industrial and Systems Engineering, Lehigh University, Bethlehem, PA (Oct. 2014)
Refinery optimization: blend planning under uncertainty
BP-MIT Conversion Research Program Technical Meeting, Boston, MA (May 2013)
Decision rules for information discovery in multi-stage stochastic programming
Industrial Consortium Meeting of the Centre for Process Systems Engineering
Imperial College London, UK (Dec. 2011)
Hedging electricity swing options in incomplete markets
Industrial Consortium Meeting of the Centre for Process Systems Engineering
Imperial College, London, UK (Dec. 2010)