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KEVIN WU
Hello, I'm Kevin. Thanks for visiting my website! I'm a senior at the University of Chicago, working towards a joint B.S./M.S. in Computational and Applied Mathematics and Computer Science, respectively. I have a passion for mathematical problem solving and its applications to machine learning and software development. You can find my projects on this site and GitHub.

I have been building my own LEGO creations since I was three years old. Starting in 2017, I have been posting my models on Flickr. Since then, I have joined InnovaLUG, and my work has been featured in LEGOLAND Billund and the LEGO House. Check out my creations on this site and on YouTube, Flickr, and Instagram.

In my free time, I enjoy practicing Brazilian Jiu-Jitsu and playing guitar, soccer, and basketball.
MY JOURNEY
Sep 2023

Started CS Masters at University of Chicago

  • GPA: 3.94/4.00
  • Joint 4-year B.S./M.S. Computer Science
  • Coursework: Convex Optimization, Natural Language Processing, Machine Learning, Robotics, Time Series and Stochastic Processes, Databases, Distributed Systems, Parallel Computing
  • Course Grader: MPCS 50103 - Discrete Math, CMSC 27200 - Algorithms
Jun 2023

Software Engineer Intern at MathWorks

  • Classified ECG signals using neural networks with the Fixed-Point Designer Team
  • Implemented Neural ODE (NODE) and Deep Equilibrium (DEQ) models using PyTorch and Torchdiffeq
  • End date: August 2023
Jun 2022

Software Engineer Intern at MathWorks

  • Worked as a quality engineer in the Install & Licensing Team to test new licensing features
  • Designed automated tests in JUnit and MATLAB for the license borrowing UI, expanding code coverage to 100%
  • Developed performance tests for license validation using Python, exposing bugs in MATLAB startup
  • End date: September 2022
Nov 2021

Student AI Researcher at UChicago Medicine

  • Working under UChicago Professor Dr. Ishanu Chattopadhyay in his Zero Knowledge Discovery Lab
  • Working on Emergenet: Scalable pandemic risk assessment of Influenza A strains circulating in non-human hosts
  • Implemented and validated novel model to predict risky Influenza strains using only sequence data ($\sim 400k$ sequences
  • Validated on north and south flu seasons from 2003-2023 across H1N1 and H3N2 subtypes; Emergenet predicts a vaccine recommendation closer to next season's virus population 81% of the time
  • Emergenet risk scores correlate (R=0.721) with CDC's IRAT (Influenza Risk Assessment Tool) emergence risk scores across 24 analyzed animal Influenza viruses
Jun 2021

Researcher at UChicago Mathematics REU

  • Wrote an expository paper on chip-firing and its use in proving the graph-theoretic analogue of Riemann-Roch
  • Solved problems and attended lectures in combinatorics, geometry, and abstract algebra
  • End date: August 2021
Sep 2020

Started College at University of Chicago

  • GPA: 3.96/4.00
  • B.S. Computational & Applied Math
  • Coursework: Statistical Theory and Methods, Real Analysis, Econometrics, Numerical Analysis, Differential Equations, Linear Algebra, Probability Theory, Algorithms, Discrete Mathematics
May 2019

Graduated from Walton High School STEM Academy

  • GPA: 4.67/4.00
  • Activities: Math Team Vice President, Varsity Swim Team, Georgia Governor's Honors Program (2017), Georgia ARML Team