Research
2026 – Ongoing
Connecticut Citizens' Assembly
With many collaborators across MIT, Yale, and UConn — work ongoing.
2024
Finding Common Ground: Networks Research
Developed a novel algorithm to reduce polarization in social network graphs by leveraging common ground.
With Prof. Adam Wierman · Computing & Mathematical Sciences, Caltech
2024 – 2026
Computer Vision for Satellites
Trained and deployed an IR vision-based object detection model for a satellite using knowledge distillation.
With Prof. Soon-Jo Chung · Autonomous Robotics & Control Lab, Caltech
2023 – 2025
Computational Social Science Research
- Developed an open-source probabilistic record linkage Python package to improve maintenance of voter registration databases using GPU computation.
- Identified demographic groups with high mail ballot rejection rates in the 2022 Washington state election.
With Prof. Michael Alvarez · Division of the Humanities and Social Sciences, Caltech
Publications
* indicates equal contribution
2026
JORS 2026
Fast-ER: GPU-Accelerated Record Linkage and Deduplication in Python
Jacob Morrier, Sulekha Kishore, and R. Michael Alvarez
Journal of Open Research Software, Vol. 14, No. 1, Art. 31, 2026
2024
IEEE URTC 2024
Finding Common Ground: A Two-Opinion Approach to Reducing Polarization in Networks
Sulekha Kishore* and A. Satish*
In 2024 IEEE MIT Undergraduate Research Technology Conference (URTC), pp. 1–6, 2024
2023
ApJS 2023
A Data Science Platform to Enable Time-domain Astronomy
Michael W. Coughlin, Joshua S. Bloom, Guy Nir, Sarah Antier, Theophile Jegou du Laz, Stéfan van der Walt, Arien Crellin-Quick, Thomas Culino, Dmitry A. Duev, Daniel A. Goldstein, et al.
The Astrophysical Journal Supplement Series, Vol. 267, No. 2, Art. 31, 2023