Math AI Lab People
The people of the UW Math AI Lab during the 2025-26 academic year (Fall 2025 - Spring 2026). For the projects themselves, see the quarterly pages under Projects.
Project Leaders
Samuel Ainsworth JAX in Lean
Bryan Boehnke Algebraic Geometry
Haocheng Cai Monogenic Extensions
Arkamouli Debnath Geometric Invariant Theory
Junaid Hasan Deep Learning for Number Theory
Allison Henrich Teaching a Computer to Knot
Eric Klavins Zero-Knowledge Proofs, Formalizing Stacks
Tyson Klingner How Good Are LLMs at Lean?
Henry Kvinge Math2Vec
John Leo Monogenic Extensions
Dean Light LeanGCD
Leo Mayer Geometric Invariant Theory, Commutative Algebra
Haoming Ning Commutative Algebra
Nelson Niu Category Theory
Andres Paz AI for Quantum Code Compilation
Andrew Tawfeek Teaching a Computer to Knot
Ignacio Tejeda Geometric Measure Theory
Michael Theologitis LeanGCD
Bianca Viray Algebraic GeometryMembers
Undergraduate and graduate researchers, with the project(s) they contribute to.
TA
Trey Adams RL for PolynomialsAA
Alexandra Aiello Zero-Knowledge ProofsDA
Dowland Aiello Formalizing StacksLA
Luke Alexander Semantic Theorem SearchHB
Hemkesh Bandi Deep Learning for Number TheorySB
Saharsh Bhargava Math2VecBB
Ben Bioren LeanGCDDB
Drew Bladek LLMs at LeanAB
Alexandre Borentain RL for PolynomialsJB
Jacob Boyce Geometric Invariant TheoryAC
Annie Cao Geometric Measure TheoryLC
Leo Carlin Math2VecC
Cecilia Math2VecAC
Alan Chang Provable ComputationAC
Andrew Chen Deep Learning for Number TheoryBC
Bohao Chen LLMs at LeanSC
Simon Chess Lean Error CorrectionKC
Kedar Chintalapati Math2VecEC
Escher Crawford LLMs at LeanJD
Jared Darlington Math2VecZF
Zeyin Feng Provable ComputationMF
Merav Frank CayleyPyXF
Xinyue Fu LLMs at LeanSG
Sambhu Ganesan CayleyPySG
Siyuan Ge OpenMath, Lean Error CorrectionNG
Nailin Guan Commutative AlgebraTG
Ted Guan Semantic Theorem SearchNH
Nicole Ham Teaching a Computer to KnotEH
Eric Hur Quantum Code CompilationRJ
Rachit Jaiswal Math2VecJJ
Junye Ji Provable ComputationKJ
Kaijie Jin RL for PolynomialsJ
Josh Geometric Measure TheorySJ
Saumi Joshi OpenMathDK
Dora Kassabova Commutative AlgebraSK
Sean Kawano Teaching a Computer to KnotRK
Ruslana Korolov Provable ComputationSK
Sathvik Kurapati Algebraic GeometrySK
Simon Kurgan Semantic Theorem SearchSL
Sylvie Lausier Quantum Code CompilationDL
Daniel Lee Lean Error CorrectionHL
Hansel Lee RL for PolynomialsEL
Eric Leonen Semantic Theorem SearchCL
Cordelia Li Quantum Code CompilationJL
Jiahe Lu Math2VecJM
Jeremy Ma JAX in LeanAM
Ajit Mallavarapu Lean Error CorrectionJM
James Martin Formalizing StacksTM
Theo Meek OpenMath, Geometric Measure TheoryBM
Bhaumik Mehta RL for PolynomialsEM
Emily Meng Geometric Invariant TheoryAM
Abel Mesfin Teaching a Computer to KnotM
Michael Math2VecNM
Naomi Morato RL for PolynomialsRM
Rithikesh Muddana CayleyPyKN
Kaira Nair LLMs at LeanRP
Rohan Pandey RL for PolynomialsNP
Nathan Pao Geometric Measure TheorySP
Sarju Patel Quantum Code CompilationGP
Gaurang Pendharkar CayleyPyGP
George Peykanu Algebraic GeometryNP
Nhan Pham LeanGCDEP
Evan Porter RL for PolynomialsJQ
Joseph Qian Provable ComputationNP
Naren P Ramakrishnan LeanGCDSR
Samarth Rao Math2VecAR
Artemii Remizov Semantic Theorem SearchVS
Veer Shukla Provable ComputationSS
Sukhman Singh Category TheoryAS
Akhil Srinivasan Deep Learning for Number TheorySS
Solden Stoll Teaching a Computer to KnotMS
Mayee Sun Quantum Code CompilationSS
Sophie Szeto Semantic Theorem SearchCT
Christian Tarta Quantum Code CompilationNT
Nina Tharamal Deep Learning for Number TheoryEW
Evan Wang LeanGCD, Lean Error CorrectionTW
Tianshuo Wang Algebraic GeometryYW
Yiran Wang Lean Error Correction, Semantic Theorem SearchAW
Annis Wu Provable ComputationDQ
Di Qiu Xiang OpenMathCX
Claire Xu RL for Polynomials, Deep Learning for Number TheoryGY
Grant Yang Algebraic GeometryXY
Xuanyu Yang Geometric Invariant TheoryDZ
Danny Zhang CayleyPyIZ
Ivonne Zhang Deep Learning for Number TheoryKZ
Kyle Zhang RL for PolynomialsXZ
Xiaoxing Zhang CayleyPyBZ
Bohan Zhao Geometric Invariant TheoryXZ
Xinyi Zhi Algebraic GeometryLab Photos