Xinshi Feng

Xinshi Feng

AVAILABLE FOR MATH PHD PROGRAMS & RESEARCH INTERNSHIPS, FALL 2027

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

BACKGROUND

I am a dedicated student at Washington University in St. Louis, pursuing a double major in Mathematics and Computer Science. My academic journey is driven by a profound curiosity for understanding complex systems and a passion for innovative problem-solving.

My research experience spans theoretical mathematics, including de Rham cohomology and manifold theory, as well as applied fields like reinforcement learning and machine learning. I have contributed to published works in Physical Review E, demonstrating my ability to conduct rigorous research and disseminate findings.

Beyond academics, I am actively involved in teaching and leadership roles, where I mentor peers and foster collaborative learning environments. These experiences have honed my communication and teamwork skills, preparing me for impactful contributions in both research and industry.

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

2019 – 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.

SKILLS 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 & Research

Deep dives into abstract algebra, topology, and differential geometry, with a focus on their applications in theoretical physics and machine learning.

Coffee & Culture

Exploring the nuances of coffee brewing, from pour-overs to espresso, and engaging with diverse cultural narratives through literature and film.

Fitness & Well-being

Maintaining a balanced lifestyle through calisthenics, weightlifting, and mindful practices to enhance physical and mental resilience.

Music & Composition

Composing instrumental pieces that blend classical structures with modern electronic elements, exploring harmonic complexity and emotional depth.

LET'S CONNECT