Summary
Liam Packer is a PhD student in Applied Mathematics at Cornell with nine years of experience applying mathematical modeling, simulation, and AI-driven algorithm development to complex physical systems. His background blends academic research in soft-particle jamming and computational elasticity with applied work as an AI researcher and scientific analyst at Johns Hopkins APL, where he translated theoretical insight into practical algorithms. Liam excels at decomposing processes to find organizational and computational efficiencies, building elegant, reproducible solutions that bridge physics, math, and computer science. He has hands-on teaching and mentoring experience from Swarthmore, running math clinics and TA sessions that sharpen his ability to communicate technical ideas clearly. Notably, he leverages simulation physics not just for numeric results but as an intuitive tool to generate theoretical understanding across disciplines. Curious and interdisciplinary, he is driven by uncovering creative approaches to modern problems and continuously expanding his toolkit.
9 years of coding experience
1 year of employment as a software developer
Johns Hopkins University
Computer Science, Computer Science at Swarthmore College
Doctor of Philosophy - PhD, Applied Mathematics, Doctor of Philosophy - PhD, Applied Mathematics at Cornell University
Rumson Fair Haven Regional High School
Japanese