Summary
Maxwell Jacobson is a PhD candidate in Computer Science at Purdue University with a decade of hands-on experience spanning AI, machine learning, reinforcement learning, neural networks, and robotics. He balances rigorous research as a Graduate Research Assistant with teaching and course development experience, having written and lectured on Neural Image Processing and advanced neural projects. Max funds his studies through a teaching fellowship and previously taught systems programming and software testing, demonstrating strong pedagogy alongside technical depth. He has longstanding grassroots involvement in FIRST Robotics—over a decade with nearly six years as a mentor—where he coaches robot design and Java/Android programming, signaling a talent for translating research into practical robotics education. His background includes mobile and front-end development internships, showing an ability to move between embedded, web, and research domains. Passionate about applying ML to space exploration and high-tech R&D, he’s pursuing roles that bridge cutting-edge research and real-world robotic systems.
10 years of coding experience
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Purdue University
Highland Park High School