Summary
Jared Hwang is a PhD student in Computer Science at the University of Washington’s Paul G. Allen School, blending academic research with industry-grade software engineering. With eight years of experience across research labs and Amazon, he builds machine learning systems, data pipelines, and large-scale simulations—work that has led to a NeurIPS Datasets & Benchmarks publication on typhoon satellite imagery. He has a strong applied research background from MIT, Tufts, and the National Institute of Informatics, where he developed custom dataloaders, novel ML models, and compression techniques that achieved up to 80% size reductions on detector images. Jared moves fluidly between prototyping research code and productionizing pipelines (he introduced Airflow best practices on an Amazon ML team) and is comfortable in Python, C++, and containerized environments. Based in Seattle, he combines physics-rooted problem solving with cross-cultural study experience in Japan, bringing both domain rigor and practical engineering to complex data-driven challenges.
8 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Washington
Bachelor of Science - BS, Computer Science; Physics, Bachelor of Science - BS, Computer Science; Physics at Tufts University
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of Southern California
Shanghai American School
Kyoto Consortium for Japanese Studies, Japanese Studies, Kyoto Consortium for Japanese Studies, Japanese Studies at Doshisha University
English, Chinese, Japanese