I am a Schmidt Science Fellow at the MIT Laboratory for Information and Decision Systems working with Devavrat Shah since Fall 2024.
My research focuses on making networked socio-technical systems that interface with our everyday lives more trustworthy and performant. Modeling the complexity, interdependency, and uncertainty in the continually evolving landscape of our socio-technical systems raises fundamental questions for stochastic modeling, network science, and inference, which my research seeks to address.
My postdoctoral research is generously funded by a Schmidt Science Fellowship for 'world’s most outstanding emerging scientists' through the Rhodes Trust and Schmidt Sciences. My doctoral research has been recognized by a Best Paper Award at International Conference on Communications '21, a Graduation Day Award in Information Theory and Applications '24, and several competitive fellowships at CMU, including the College of Engineering's Dowd Fellowship '20 (awarded to top-3 applicants) and the Cylab Presidential Fellowship ('20, '23). I have been twice recognized as an EECS Rising Star (Georgia Tech '23 and MIT '21).
Keywords: stochastic modeling; complex networks; learning and inference; optimization; ethics of AI
Background
I obtained my PhD in Electrical and Computer Engineering at Carnegie Mellon University where I was affiliated with the CyLab Security & Privacy Institute and advised by Osman Yağan. My doctoral research investigated how structural heterogeneity impacts performance of stochastic networked systems.
Prior to this, I completed my Bachelors and Masters in Electrical Engineering at the Indian Institute of Technology (IIT) Bombay, India, working with Sharayu Moharir and Ankur Kulkarni at the interface of optimization and game theory for resource allocation in online markets.
I moonlight as a watercolor artist and I am passionate about improving representation and accessibility in science and art. For my contributions to diversity, equity, and inclusion, I have been awarded the Graduate Student Service Award ('24), Cadence Diversity in Technology Award ('23), the Unsung Hero Award ('22), and the Advanced Graduate Ambassadorship of the Institute for Advanced Study, Princeton ('22).
Updates
[Oct '24] Invited to speak at the session on Theoretical Advances in Networks, Dynamics and Inference at 2024 INFORMS Annual Meeting in Seattle.
[Oct '24] Attended the Schmidt Science Fellows Science Leadership Program at Rhodes House and Blavatnik School of Government, University of Oxford.
[Sep '24] Excited to be working with Devavrat Shah at MIT LIDS as a Schmidt Science Fellow.
[Jul '24] I defended my PhD [Thesis].
[Apr '24] Honored to be part of the 2024 Cohort of Schmidt Science Fellows. [Forbes]
[Mar '24] Honored to receive the Graduate Student Service Award at the Annual Celebration of Education, CMU. [News Story by CMU ECE and College of Engineering]
[Feb '24] Honored to be recognized with a Graduation Day Award at the Information Theory and Applications Workshop.
[Dec '23] Invited to speak at the Stochastic Networks, Applied Probability, and Performance (SNAPP) Seminar [Slides]
[Dec '23] Completed multi-semester training in pedagogy as part of the Future Faculty Program. Thanks to Elizabeth Walker for her mentorship!
[Dec '23] Honored to be recognized as a 2023 Cadence Women in Technology Scholar. [News Story]
[Nov '23] Honored to be recognized as an EECS Rising Star. Excited to visit Georgia Tech!
[Aug '23] Honored to be recognized as a CMU Security & Privacy Insitute (CyLab) Presidential Fellow. [News Story]
[Jun '23] Our paper Spreading Processes with Mutations over Multi-layer Networks features in the Proceedings of the National Academy of Sciences (PNAS). [News Story]
[Feb '23] Organized the first Pittsburgh Women in Mathematics and Computing Symposium. [News Story]
[Aug '22] Awarded the Advanced Graduate Ambassadorship of the Institute for Advanced Study (IAS), Princeton to organize a one-day conference 'Women in Mathematics and Computing Symposium (WMCS)'.
[May '22] Started my Internship as a Machine Learning Researcher at the Bosch Center for Artificial Intelligence as part of the Robust and Safe Deep Learning team.
[May '22] Visited the IAS School of Mathematics for the WAM Mathematics of Machine Learning program.
[Apr '22] Awarded the Unsung Hero Award of the ECE Diversity Committee.
[Oct '21] Thrilled to be a part of the cohort of MIT EECS Rising Stars.
[Jun '21] Honored to receive the Best Paper Award at International Conference on Communications (ICC). [News Story by CMU ECE and College of Engineering].