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Rachana Madhukara
Update: This summer I am interning at Adobe Research, where I am working on forecasting tool usage in agentic AI systems.
I am a third-year Ph.D. student at MIT, where I am advised by Profs. Greg Wornell and Yury Polyanskiy. I am broadly interested in statistical inference, information theory, and the
applications of mathematics to computer science. I am grateful to be supported by the NSF GRFP.
Previously, I was a Fulbright scholar at the Renyi Institute in Budapest, Hungary during the 2023-2024 academic year. Before that, I finished my undergrad at MIT, majoring in Mathematics (18) and Electrical Engineering and Computer Science (6-2). Outside of academics, I enjoy hiking and having thoughtful discussions with people! Please feel free to drop me a line anytime.
Email  / 
LinkedIn
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Publications
* indicates work done as an undergraduate.
Machine Learning and AI
Mathematics
Permutoric Promotion: Gliding Globs, Sliding Stones, and Colliding Coins*
Colin Defant
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Rachana Madhukara, Hugh Thomas
Accepted to Combinatorial Theory, 2023
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Adjacency and Broadcast Dimension of Grid and Directed Graphs*
Rachana Madhukara
Submitted to Discrete Mathematics & Theoretical Computer Science
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2022
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Orthogonal Fold & Cut*
Joshua Ani, Josh Brunner,
Erik D. Demaine,
Martin L. Demaine,
Dylan Hendrickson, Victor Luo, Rachana Madhukara
Thai Journal of Mathematics
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2023
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Edge-Unfolding Prismatoids: Tall or Rectangular Base*
Vincent Bian,
Erik D. Demaine,
Rachana Madhukara
Presented at the
Canadian Conference on Computational Geometry
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2021
Video of presentation
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Fourier Coefficients of Level 1 Hecke Eigenforms*
Mitsuki Hanada, Rachana Madhukara
Acta Arithmetica
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2021
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