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
The Radio-Frequency Transformer for Signal Separation
Egor Lifar, Semyon Savkin, Rachana Madhukara, Tejas Jayashankar, Yury Polyanskiy, and Gregory Wornell
Preprint, 2026
Mathematics
Permutoric Promotion: Gliding Globs, Sliding Stones, and Colliding Coins*
Colin Defant , Rachana Madhukara, Hugh Thomas
Accepted to Combinatorial Theory, 2023
Adjacency and Broadcast Dimension of Grid and Directed Graphs*
Rachana Madhukara
Submitted to Discrete Mathematics & Theoretical Computer Science , 2022
Orthogonal Fold & Cut*
Joshua Ani, Josh Brunner, Erik D. Demaine, Martin L. Demaine, Dylan Hendrickson, Victor Luo, Rachana Madhukara
Thai Journal of Mathematics , 2023
Edge-Unfolding Prismatoids: Tall or Rectangular Base*
Vincent Bian, Erik D. Demaine, Rachana Madhukara
Presented at the Canadian Conference on Computational Geometry , 2021
Video of presentation
Fourier Coefficients of Level 1 Hecke Eigenforms*
Mitsuki Hanada, Rachana Madhukara
Acta Arithmetica , 2021

Based on this website