Xinshi Feng

Xinshi Feng

Available Fall 2027

IBM · Git & GitHubIBM · HTML/CSS/JSIBM · Cloud ComputingIBM · Software Engineering

Background

I'm a double major in Computer Science and Mathematics at Washington University in St. Louis (McKelvey School of Engineering), graduating May 2026.

My current research focus is de Rham cohomology and smooth manifolds, working under the supervision of Professor Yanli Song. I find beauty in how abstract topology and differential geometry describe the shape of spaces.

I also have published work in evolutionary game theory — applying Q-learning to model how conditional cooperation emerges and evolves in populations, published in Physical Review E.

I'm looking for Math PhD programs and research internships starting Fall 2027, in pure mathematics, applied math, or theoretical machine learning.

Teaching & Leadership

January 2026 – Present

Teaching Assistant — Video Game Programming (CSE4500)

Washington University in St. Louis

Supporting students in debugging assignments and understanding course concepts; evaluating homework submissions.

January 2025 – December 2025

Teaching Assistant — Introduction to Machine Learning (CSE417T)

Washington University in St. Louis

Weekly office hours, grading, and feedback for the introductory Machine Learning course.

January 2025 – May 2025

Grader — Optimization (ESE415)

Washington University in St. Louis

Graded homework assignments and addressed student inquiries for the graduate-level Optimization course.

January 2024 – May 2025

Teaching Assistant — Data Structures and Algorithms (CSE247)

Washington University in St. Louis

Held office hours 3x/week and supported studio sessions for Data Structures and Algorithms.

January 2024 – December 2024

Teaching Assistant — Data Structures and Algorithms Seminar (CSE247R)

Washington University in St. Louis

Delivered short lessons on classic algorithms and data structures not covered in the main curriculum.

Education

2023 – 2026

Washington University in St. Louis

McKelvey School of Engineering

Double Major in Computer Science and Mathematics

  • ·Dean's List: Spring 2025, Fall 2024, Spring 2024, Fall 2023

2020 – 2023

Culver Academies

Culver, Indiana

High School Diploma

  • ·Cum Laude (2022–2023)
  • ·Honors in Computer Science (2022–2023)
  • ·Blue Key (2021–2023)
  • ·Honors in Mathematics (2021–2022)

Research

June 2025 – Present

de Rham Cohomology in Manifold Theory

Washington University in St. Louis

Studying smooth manifolds and de Rham cohomology under Prof. Yanli Song, computing classical examples via Mayer–Vietoris sequences.

July 2023 – February 2025

Evolution of Cooperation in a Bimodal Mixture of Conditional Cooperators

Remote Research Collaboration

Co-authored paper in Physical Review E modeling adaptive cooperation via Q-learning, investigating phase transitions in evolutionary game theory.

arXiv Paper

July 2022 – February 2023

Incorporating Power Dynamic in Cooperation and Defection with Reinforcement Learning

Culver Academies

Used Q-Table reinforcement learning to study how social hierarchy affects cooperation dynamics.

July 2021 – February 2022

Letter Recognition with SVC, Random Forest and CNN

Culver Academies

Built ML models (SVM, Random Forest, CNN) to classify alphabetical characters and digitize historical documents.

Proficiency

Programming Languages

Python92%
Java85%
C / C++75%
JavaScript / HTML / CSS72%
Swift60%

Machine Learning & AI

Reinforcement Learning88%
Convolutional Neural Networks80%
Support Vector Machines82%
Random Forests83%
Computer Vision75%

Mathematics

Differential Topology80%
Linear Algebra90%
Optimization82%
Probability & Statistics88%

Tools & Platforms

Git / GitHub85%
Microsoft Office90%
LaTeX70%

Mathematics is not about numbers, equations, computations, or algorithms: it is about understanding.

— William Paul Thurston

Outside the Classroom

Mathematics

Fascinated by pure mathematics — topology, analysis, and abstract algebra outside of coursework.

Coffee & Study Culture

A firm believer in good coffee and deep focus sessions. Always on the lookout for the best study spots.

Fitness

Regular gym-goer who believes physical discipline and mental discipline are closely connected.

Music

Enjoys listening to and exploring music across genres as a way to decompress after intense study sessions.

Let's Connect