Talks
- Guest Speaker, Data4All, University of Chicago (November 23, 2024)
- Invited Talk, “Recent Advances in the Analysis of Partial Differential Equations”, SIAM Great Lakes Meeting, Michigan State University (October 14, 2023)
- Poster Presentation, Association for Women in Mathematics, Joint Math Meetings (Online) (January 8, 2021)
Mentorship
- Mentor, Statistics for Machine Learning, Data Science, and Artificial Intelligence Online Training Program, Mathematics Training and Talent Search Program, India (Fall 2025)
- Mentor, Data Science for Social Impact Summer Experience, UChicago (Summer 2025)
- Mentor, Data Science Clinic, UChicago (Fall 2024, Winter 2025, Spring 2025)
- Mentor, Directed Reading Program, OSU (Fall 2021)
- Teaching Support, One-on-one mentorship for new TAs, OSU (Fall 2021)
Leadership and Service
- President, SIAM Student Chapter, OSU (Aug 2022 – Apr 2023)
- Vice President, AWM Chapter, OSU (Aug 2021 – Apr 2023)
- Vice President, Math Graduate Student Association, OSU (Aug 2020 – May 2022)
- Founder & Organizer, Student Analysis Seminar, OSU (Jan 2020 – May 2022)
- Graduate Student Representative, Diversity Committee, OSU Math Department (Aug 2020 – May 2021)
- Outreach Coordinator, SIAM Chapter, IISc (Aug 2017 – May 2018)
Selected Projects
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Mathematical Problems in Industry (MPI 2025):
Collaborated with Kwaai, an open-source AI lab, to study privacy-preserving query methods for vector databases in Personal AI. Explored encryption techniques like dimensional scrambling, noise injection, ElGamal, and CKKS, and developed and evaluated new homomorphic encryption algorithms. -
Mathematical Problems in Industry (MPI 2024):
Analyzed Vironix Health’s de-identified datasets on disease progression during remote patient monitoring to identify positive health outcomes and predict adverse episodes, patient compliance, and engagement. -
Erdős Institute Data Science Boot Camp (Fall 2023):
Built predictive models to forecast S&P 500 index behavior and compared results across stock indices. -
Wolfram|Alpha (Summer 2023):
Contributed to a project extracting and validating mathematical assertions from scientific papers, using LaTeX parsing, pattern matching, and regular expressions. -
Mathematical Problems in Industry (MPI 2022):
Collaborated with Vironix Health to conducted exploratory data analysis of hospital admission data to identify key features and symptoms predictive of heart failure severity. -
Graduate Student Math Modeling Camp (GSMMC 2022):
Analyzed geospatial travel data to balance transparency, privacy, and utility using statistical and randomization methods. -
Erdős Institute Data Science Boot Camp (Summer 2021):
Used predictive modeling (KNN, Decision Trees, SVMs) to identify success factors in clinical trials for cancer interventions.