CV

Contact Information

Name Drew McNeely
Email drew at drewmcneely dot net

Experience

  • 2024 - present

    Camden, NJ

    Mathematics Teacher
    Uncommon Schools, Camden Prep High School
    • Algebra 2, Accelerated Precalculus, AP Calculus AB
  • 2024 - 2026

    Various

    Organizing Committee Member
    The Adjoint School
    • Two-year position organizing international applied category theory research program
    • Responsibilities: admissions review, mentor recruitment, sponsor outreach, website maintenance, liaison between Steering Committee and ACT Conference Organizing Committee
    • 2025: Organized school at University of Florida, Gainesville
    • 2026: Organizing school at Tallinn University of Technology, Estonia
  • 2023 - 2024

    Stephenville, TX

    Independent Researcher
    Independent Researcher
    • Co-authored IEEE publication on categorical probability and Bayesian filtering (accepted Sept. 2025)
    • Attended Applied Category Theory Conference 2023 (College Park, MD)
  • 2024 - 2024

    Oxford, UK

    Student — Project: Modeling Uncertainty with Markov Categories
    Adjoint School 2024
    • Investigated monads for imprecise probability including Dempster-Shafer theory and inner/outer probability measures
    • Presented preliminary findings at ACT 2024, Oxford, UK
  • 2020 - 2023

    Austin, TX

    Graduate Researcher — Categorical Probability (Advisor: Efstathios Bakolas)
    University of Texas at Austin
    • Developed polymorphic categorical formulation of recursive Bayesian filters
    • Created novel framework merging category theory with dynamical systems estimation
    • Resulted in IEEE Transactions on Information Theory publication
  • 2017 - 2020

    Austin, TX

    Graduate Researcher — Geometric Estimation (Advisor: Moriba Jah)
    University of Texas at Austin
    • Recursive estimation for dynamical systems with Riemannian state spaces
    • Clustering analysis of resident space objects
  • 2017 - 2022

    Tucson, AZ

    Teaching Assistant
    UT Austin, University of Arizona
    • Calculus 2, Calculus 3, Linear Algebra, Differential Equations, Intro to Computer Programming
  • 2016 - 2023

    Austin ,TX

    Private Tutor
    Austin Learning Center
    • Math (4th grade through college), SAT/ACT/ISEE test prep
  • 2017 - 2017

    Mountain View, CA

    Research Intern
    NASA Ames Research Center
    • Constrained optimal control for Variable Camber Continuous Trailing Edge Flap aircraft

Education

  • - 2023

    Austin, TX

    MS
    University of Texas at Austin
    Aerospace Engineering
    • Thesis: Categorical Probability for Abstracting Filtering Algorithms on Stochastic Dynamical Systems
    • Advisor: Efstathios Bakolas
  • - 2015

    Rolla, MO

    BS
    Missouri University of Science & Technology
    Aerospace Engineering
  • - 2015

    Rolla, MO

    BS
    Missouri University of Science & Technology
    Mechanical Engineering

Publications

Projects

  • markovcats.jl

    Julia DSL for Categorical Probability

    • A Julia DSL with discrete probability syntax and Markov category semantics
    • Built on GATLab.jl and Catlab.jl within the AlgebraicJulia ecosystem
  • girypy

    Python Library for Categorical Estimation

    • Categorical Kalman filter implementation using Gaussian Markov categories
    • Abstract base class interface for Markov categories with pseudo-DSL using infix operators
    • Precursor to markovcats.jl
  • photometry

    Satellite Photometry Visualization

    • Interactive 3D visualization of photometric output from satellites in orbit
    • Maps real-valued functions on spherical domains to HTML-based globe rendering

Skills

Programming Languages: Julia, Python, MATLAB, Java
Tools: git, Github, linux
Mathematics: applied category theory, applied differential geometry

Languages

Dutch : CEFR B2
English : Native