I am a final-year PhD candidate in Electrical and Computer Engineering at Carnegie Mellon University. At CMU, I am affiliated with the CyLab Security & Privacy Institute and advised by Osman Yağan. I have been lucky to collaborate with Chai Wah Wu at IBM T. J. Watson Research Center, H. Vincent Poor and Simon A. Levin at Princeton University, and Giulia Fanti at CMU. I spent Summer 2022 working with the Robust and Safe Deep Learning team at the Bosch Center for Artificial Intelligence.
My research focuses on stochastic modeling, performance analysis, learning, and optimization for making networked socio-technical systems more trustworthy and performant. At CMU, my research has been recognized by a Best Paper Award at IEEE ICC '21, an Information Theory and Applications (ITA) Graduation Day Award '24, and several competitive fellowships, 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 honored as an EECS Rising Star (Georgia Tech '23 and MIT '21).
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 platform-aided online marketplaces.
I am passionate about improving representation in computing and making science and art more accessible to diverse audiences. 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).
Note: I am on the 2023/24 academic job market.
Recent updates
[Mar '24] Honored to receive the Graduate Student Service Award, at the Annual Celebration of Education, CMU. [News Story]
[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!
[Oct '23] Our paper on distributed network design with random K-out graphs has been accepted to IEEE Transactions on Information Theory 2023.
[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 has been published in the Proceedings of the National Academy of Sciences (PNAS). [News Story]
[Apr '23] Selected to participate in the 10th Heidelberg Laureate Forum.
[Mar '23] Invited to visit the Santa Fe Institute for the Complex Systems Summer School this summer.
[Feb '23] Organized the first Pittsburgh Women in Mathematics and Computing Symposium. [News Story]
[Oct '22] Awarded the Knight Fellowship by the Center for Informed Democracy & Social - cybersecurity (IDeaS).
[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].