Faculty
Swati Gupta is the Class of 1947 Career Development Associate Professor and an Associate Professor at the MIT Sloan School of Management in the Operations Research and Statistics Group. Her research focuses on developing cutting-edge techniques for mitigating “FATE” (fairness, accountability, transparency, and explainability) concerns in algorithmic decisions, as well as pushing the boundaries of efficient computation using AI, machine learning, and optimization. She develops new methodologies in combinatorial, non-linear, and robust optimization, with a focus on first-order optimization. Her work spans various domains such as hiring, admissions, districting, e-commerce, platforms, supply chains, healthcare, quantum optimization, and energy. She frequently interacts and collaborates with industry, as well as with doctors, physicists, law and policy scholars. She has led various high-impact projects, including serving as the lead of Ethical AI at the NSF AI Institute on Advances in Optimization from 2021-2023.
She received the NSF CAREER Award in 2023, the Class of 1934: Student Recognition of Excellence in Teaching in 2020 and 2021 at Georgia Tech, the JP Morgan Early Career Faculty Recognition in 2021, the NSF CISE Research Initiation Initiative Award in 2019, and the Google Women in Engineering Award (India) in 2011. She was also awarded the prestigious Simons-Berkeley Research Fellowship in 2017-2018. Her research and students have received recognition at various venues like INFORMS Doing Good with OR 2022 (finalist), INFORMS Undergraduate Operations Research 2018 (honorable mention), INFORMS Computing Society 2016 (special recognition), and INFORMS Service Science Student Paper 2016 (finalist).
Swati currently serves as an associate editor of the Open Journal of Mathematical Optimization, and a guest editor for the Fields Institute Communication Series. She also regularly serves on technical program committees for top conferences in optimization, machine learning, and algorithmic fairness, e.g., Integer Programming and Combinatorial Optimization (IPCO 2024), Neural Information Processing Systems (NeurIPS 2023, area chair), and ACM Conference on Fairness, Accountability and Transparency (FAccT 2022, area chair). She has further co-organized various cross-disciplinary workshops, including ICERM's Workshop on Trends in Combinatorial Optimization 2023, CCC/INFORMS AI/OR Workshop 2022, and Workshop on Quantum Computing and Operations Research 2022.
Swati received a PhD in operations research from MIT in 2017 and a joint Master’s and Bachelor in Technology in computer science from IIT Delhi in 2011.
Featured Publication
"Discovering Opportunities in New York City's Discovery Program: Disadvantaged Students in Highly Competitive Markets."Yuri Faenza, Swati Gupta, and Xuan Zhang (Journal version, under submission). In EC '23: Proceedings of the 24th ACM Conference on Economics and Computation, New York, NY: July 2023. arXiv.
Gupta, Swati, Akhil Jalan, Gireeja Ranade, Helen Yang, and Simon Zhuang (Accepted with minor revision). Fields Institute Communication Series. Forthcoming.
Swati Gupta, Jai Moondra, and Mohit Singh. In ACM-SIAM Symposium on Discrete Algorithms, New Orleans, LA: January 2025. arXiv.
Amira Abbas, Andris Ambainis ... Swati Gupta et al. Nature Reviews Physics Vol. 6, No. 12 (2024): 718-735.
Pollack, Madeleine, Ryan Piansky, Swati Gupta, Alyssa Kody, and Daniel Molzahn (Under review), MIT Sloan Working Paper 7229-24. Cambridge, MA: MIT Sloan School of Management, November 2024. arXiv.
Swati Gupta explores machine learning and optimization to improve the efficiency, quality, and fairness of the decisions models make.
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