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.

Xinshi Feng
AVAILABLE FOR MATH PHD PROGRAMS & RESEARCH INTERNSHIPS, FALL 2027




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
Washington University in St. Louis
Supporting students in debugging assignments and understanding course concepts; evaluating homework submissions.
January 2025 – December 2025
Washington University in St. Louis
Weekly office hours, grading, and feedback for the introductory Machine Learning course.
January 2025 – May 2025
Washington University in St. Louis
Graded homework assignments and addressed student inquiries for the graduate-level Optimization course.
January 2024 – May 2025
Washington University in St. Louis
Held office hours 3x/week and supported studio sessions for Data Structures and Algorithms.
January 2024 – December 2024
Washington University in St. Louis
Delivered short lessons on classic algorithms and data structures not covered in the main curriculum.
EDUCATION
2023 – 2026
McKelvey School of Engineering
Double Major in Computer Science and Mathematics
2019 – 2023
Culver, Indiana
High School Diploma
RESEARCH
June 2025 – Present
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
Remote Research Collaboration
Co-authored paper in Physical Review E modeling adaptive cooperation via Q-learning, investigating phase transitions in evolutionary game theory.
ARXIV PAPERJuly 2022 – February 2023
Culver Academies
Used Q-Table reinforcement learning to study how social hierarchy affects cooperation dynamics.
July 2021 – February 2022
Culver Academies
Built ML models (SVM, Random Forest, CNN) to classify alphabetical characters and digitize historical documents.
SKILLS PROFICIENCY
Programming Languages
Machine Learning & AI
Mathematics
Tools & Platforms
“Mathematics is not about numbers, equations, computations, or algorithms: it is about understanding.”
— William Paul Thurston
OUTSIDE THE CLASSROOM
Deep dives into abstract algebra, topology, and differential geometry, with a focus on their applications in theoretical physics and machine learning.
Exploring the nuances of coffee brewing, from pour-overs to espresso, and engaging with diverse cultural narratives through literature and film.
Maintaining a balanced lifestyle through calisthenics, weightlifting, and mindful practices to enhance physical and mental resilience.
Composing instrumental pieces that blend classical structures with modern electronic elements, exploring harmonic complexity and emotional depth.
LET'S CONNECT