30th International Conference on Randomization and Computation (RANDOM), 2026
Mohit Gurumukhani
(he/him/his)
PhD Student, Cornell University
Email: mgurumuk@cs.cornell.edu
Links:
google scholar |
dblp
I will be on the postdoc job market for positions starting in Fall 2027
About
I am a final year PhD student in the Computer Science department at Cornell University studying theoretical computer science. My research interests include complexity theory, pseudorandomness, and analysis of boolean functions. I am fortunate to be advised by Eshan Chattopadhyay. Previously, I was an undergrad at UC San Diego where I had the great pleasure to work with Russell Impagliazzo and Ramamohan Paturi.
Publications
41st Computational Complexity Conference (CCC), 2026
41st Computational Complexity Conference (CCC), 2026
58th Annual ACM Symposium on Theory of Computing (STOC), 2026
42nd International Symposium on Theoretical Aspects of Computer Science (STACS), 2025
65th Annual IEEE Symposium on Foundations of Computer Science (FOCS), 2024
39th Computational Complexity Conference (CCC), 2024
15th Innovations in Theoretical Computer Science (ITCS), 2024
Algorithmica, 2022
Manuscript
Manuscript
Teaching
- Theory of Computing, TA, Cornell, Fall 2023 and Spring 2026
- Introduction to Analysis of Algorithms, TA, Cornell, Fall 2022, Spring 2023, and Spring 2024
- Foundations of Responsible Machine Learning, TA, Cornell, Fall 2024
- Data Structures and Functional Programming, TA, Cornell, Fall 2025
- Discrete Math for CS, TA, UC San Diego, Winter 2021
- Design and Analysis of Algorithms, TA, UC San Diego, Spring 2020
- Mathematics for Algorithms and Systems Analysis, TA, UC San Diego, Fall 2019
- Theory of Computation, TA, UC San Diego, Winter 2019
- Computer Organization and Assembly, TA, UC San Diego, Spring 2018