CV
Education
- Diploma with Highest Honors, Phillips Exeter Academy, 2018
- B.S. in Mathematical Sciences, Carnegie Mellon University, 2022
- M.S. in Mathematical Sciences, Carnegie Mellon University, 2022
- Ph.D in Mathematics, Pennsylvania State University, 2027 (expected)
Work experience
- Spring 2024: Graduate Teaching Assistant for Math 231
- Pennsylvania State University
- Duties included: Instructor of Record, see Teaching for more info
- Fall 2023: Co-Leader of Real Analysis Qualifying Review Exam
- Pennsylvania State University
- Won competitive selection process to jointly lead weekly sessions to prepare younger graduate students for the Real Analysis qualifying exam, generally considered to be the most difficult qualifying exam in our program.
- Duties included: Designing review sessions, writing problem sheets to teach and test important concepts, providing students with 1-1 guidance in problem solving, and presenting solutions to particularly tricky problems.
- Fall 2023: Graduate Teaching Assistant for Math 230
- Pennsylvania State University
- Duties included: Instructor of Record, see Teaching for more info
- Summer 2023: Visiting Scholar
- University of Bonn, Germany
- Duties included: Implementing and optimizing the MBO (Merriman, Bence, Osher) algorithm to efficiently cluster data. This algorithm is a type of spectral clustering algorithm which can create clusters with special desirable mathematical properties.
- Summer 2020: Researcher in Fluid Dynamics
- Carnegie Mellon University
- Duties included: Helping devise a novel approach to derive the equations governing fluid flow with a layer of surfactants on the outer surface.
- Supervisor: Ian Tice
- Fall 2019 - Spring 2022: Undergraduate Teaching Assistant
- Carnegie Mellon University
- Duties included:
- Prepared materials and taught recitation for 15-30 students a semester
- Graded homework, exams and quizzes
- Held bi-weekly office hours
- Classes taught include: calculus 1, honors vector calculus, and introduction to proofs for math/CS majors
Skills
- Python: Primary Language of Expertise
- Have programmed in Python as a researcher since the beginning of grad school and as hobbyist for approximately 8 years.
- Most of my work has been focused on crafting and optimizing numerical algorithms around machine learning and various mathematical algorithms. Techniques have included JIT-compilation and parallel processing with Numba, GPU acceleration with Cupy, and parallel processing with Multiprocessing.
- Libraries and Tools Commonly Used Include: Numpy, Numba, Cupy, PyTorch, Conda, Faiss, Matplotlib, Plotly, Scipy, JuliaCall, Multiprocessing
- Julia
- Learned in graduate school to offload differential equation solving since Julia’s tooling in this area is better developed than Python’s.
- Most of my Julia code is written to be called from Python. This is used to build data sets solving differential equations to test/train my Python models.
- Libraries and Tools Commonly Used Include: DifferentialEquations.jl, OrdinaryDiffEq.jl, CUDA.jl, KrylovKit.jl,
- Linux
- Basic familiarity with interacting with Linux from the terminal. All my heavy computational work is currently done through SSH on a cluster running Ubuntu 20.04.
- Git
- Basic familiarity with Git and Github from the command line.
Awards/Honors
- University Graduate Fellowship, Spring 2023 - Spring 2024
- Dr. John Randall Shuman Troxell Memorial Scholarship in Mathematics, Fall 2023
- Jack and Eleanor Pettit Scholarship in Science, Fall 2023
- Verne M. Willaman Distinguished Graduate Fellowships in Science, Fall 2022
- Jack and Eleanor Pettit Scholarship in Science, Fall 2022
- Graduate Fellowship, Carnegie Mellon University (Declined), Fall 2022
- Science and Humanities Scholar, Carnegie Mellon University Sep 2018–May 2022
- University Honors, Carnegie Mellon University May 2022
- College Honors, Carnegie Mellon University May 2022
- Department of Mathematical Science’s Mathematics Prize, Carnegie Mellon University May 2022
- Cum Laude Society, Phillips Exeter Academy, Spring 2018
Publications
