CV Summary

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Summary:

Education

• Ph.D. in Mathematics, University of Maryland, College Park (Expected Spring 2027)
  • Advisor: Chris Laskowski
• B.S. in Mathematics, University of Chicago, 2017-2021

Research Interests

• Mathematics: Model theory, probability, statistics, geometry, combinatorics, type theory.
• Machine Learning: LLM Benchmarking via Formal Methods, Graph Neural Networks, Predictive Modeling and Time Series Forecasting.
• Quantitative Finance: Alpha generation from alternative data sources, rigorous applications of AI and formal methods, derivatives pricing.

Work Experience

• LLM Benchmarking and International Math Olympiad Expert, Mercor (Contract)
  • December 2025 - February 2026
  • Working on a project to train and benchmark LLM problem solving abilities on International Math Olympiad Problems. Responsibilities included novel problem generation and formalization for use in scoring performance and training of of cutting edge LLMs.
• Graduate Teaching Assistant, University of Maryland
  • 2021 - Present
  • Courses: Stat 100 Introductory Statistics, Math 141 Calc 1, Math 240 Linear Algebra, Math 410 & 411 Real Analysis 1 & 2, Math 416 Applied Harmonic Analysis; Introduction to Signal Processing Math 445 Introduction to Mathematical Logic, Math 446, Axiomatic Set Theory, Math 463 Complex Variables, Math 464 Transform Methods, Math 712 & 713 Mathematical Logic I and II.
• Research Assistant, University of Maryland
  • 2021 - Present
  • Conducted research in model theory and combinatorics with applications to geometric group theory. Additionally, worked in subjects including finite automata, statistical game theory, and formal methods.
• Instructor/Counselor, Brin Mathematics Summer Camp, University of Maryland
  • Summer 2025
  • Taught an intensive program of mathematics topics to competitively admitted high schoolers including mathematical olympiad style problems at the USAMO level.

Volunteer Experience

• Directed Reading Program, President, University of Maryland
  • 2023 - Present
  • Administered undergraduate-graduate student pairings to read research texts in mathematics. I have supervised 4 projects.
  • While president, streamlined the application and review process leading to 50% more pairings and less administrative load.
• DC Department of Corrections, Instructor, Petey Greene Program
  • 2023- Present
  • Volunteered for the Petey Greene program to teach, tutor and design mathematical curriculum for inmates.
  • Worked with a variety of student backgrounds, designing curriculum for GED preparation, general mathematics education and college readiness programs.
• DC Math Circles, Instructor, Washington DC
  • 2022-2023
  • Volunteered for an after school mathematics programs for 6th graders teaching combinatorics, probability, and other mathematical subjects not typically found in the middle school curriculum.

Skills

• Programming: Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch), SQL, LaTeX, Haskell, Lean4.
• Mathematics: Stochastic Processes, Real Analysis, Probability Theory, Statistics.