Hello! I’m Rish, a PhD student in computer science at the Laboratoire Méthodes Formelles (LMF) in ENS Paris-Saclay, part of the Deducteam research group. I am supervised by Frédéric Blanqui on the design and implementation of a tool for translating between Lean and Dedukti, and I expect to complete my doctoral studies in March 2026.
I’m generally interested in the use of proof assistants for mathematical formalization and synthesis, with my doctoral research focusing on the topic of proof translation for improved interoperability between proof assistants based on different foundations.
My broader research interests are around the topic of using proof assistants such as Lean as platforms for the synthesis of verified structural artifacts starting from domain-specific, user-provided symbolic specifications, background theories and related proof automation, primarily through the design of proof-guided search spaces for synthesis. At the moment, I am particularly thinking about possible applications of synthesis techniques in the areas of program synthesis and symbolic task planning for humans and autonomous robots.
I am currently actively on the search for post-doctoral/full-time research positions! Please feel free to contact me at the email above for any related inquiries.
Publications
PhD thesis
Translating Proofs from Lean to Dedukti (pre-print)
PhD Thesis, ENS Paris-Saclay (2026)
Conference papers
Lean4Less: Eliminating Definitional Equalities from Lean via an Extensional-to-Intensional Translation
22nd International Colloquium on Theoretical Aspects of Computing (ICTAC) (2025)
Workshop papers
A Term-Patching Framework for Eliminating Definitional Equalities in Lean (work-in-progress report)
LFMTP: Logical Frameworks and Meta Languages: Theory and Practice (2024)
Master’s thesis
Formalizing the Beginnings of Bayesian Probability Theory in the Lean Theorem Prover
Master's Thesis, UC San Diego (2022)
Talks
Lean4Less Talk at ICTAC 2025
Education
- B.S. Computer Science, UC San Diego, 2019
- M.S. Computer Science, UC San Diego, 2022
- (current) PhD Computer Science, ENS Paris-Saclay, projected completion in March 2026
Community service
- Artifact Evaluation Committee, ICFP 2025.