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Tutor profile: Jason J.

Jason J.
Expert Mathematics and Computer Science Tutor with 4+ years of experience.


About Jason

About Jason
Hi there! My name is Jason and I am a systems engineer from the University of Virginia. Throughout my undergraduate career, I have guided hundreds of college students through advanced mathematics courses including probability, linear algebra, and statistics. I have also conducted mathematics research at Cornell University in optimal control theory. I’m passionate about helping students deconstruct complex mathematical and programming concepts in a simple, fun way!

Teaching Experience

Teaching Experience
Over the recent years, Jason has tutored 500+ students, from assisting first-year students in writing their first line of code ever to becoming well-equipped programmers capable of creating game applications and website scrappers. Jason works with students on an individual level to explain mathematics problem sets, help debug coding projects, and explain key programming concepts. Jason is eager to provide hands-on experience in real-life mathematics and programming applications to help you become a confident engineer!
University of Virginia
Industrial and Systems Engineering
Bachelor's Degree
2018 - 2022

Work Experience

Work Experience
Harvard University, Reinforcement Learning Robotics Undergraduate Researcher
2021 - 2022
I modeled a reinforcement learning problem of a toy quadruped robot using OpenAI Gym, PyBullet, and Python to achieve walking gaits. I applied an imitation learning framework to achieve robust natural-looking walking gaits and close the sim-to-real gap.
University of Virginia, Smart Healthcare Research Assistant
2019 - 2022
I led the development of a recommender system to provide adaptive recommendations to Alzheimer caregivers. I modeled the recommender system as a contextual multi-armed bandit reinforcement learning problem and collaborated with Ph.D. students to deploy an acoustic-recommendation pipeline in caregiver homes.
Cornell University, Mathematics Undergraduate Researcher
2020 - 2020
I applied optimal control theory to study bifurcations in the construction of Mobius bands. I used Matlab to compute the critical twist angle of a rod with an infinite bending stiffness for various twisting stiffnesses. I discovered that a supercritical pitchfork bifurcation originates at the points of instability, and all solution branches that emerge from the bifurcation lead to the same Mobius band shape.


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