Summary
Lixun Zhang is a senior research data scientist based in Boston with a decade of experience applying machine learning, deep learning, and statistical modeling to high-impact business problems across advertising, insurance, and finance. At Roku he optimizes ad campaigns on datasets with billions of rows and builds reinforcement learning models that cut rebuffering by 30%, and at Microsoft he led deep learning projects for medical imaging and an object-detection toolkit showcased at Build. He brings strong hands-on skills in Python, PyTorch, TensorFlow, SQL and A/B testing, plus a track record of turning complex analytics into measurable business outcomes like doubled impressions, improved claim processing, and higher policy renewals. Trained through rigorous quantitative roles at State Street and JPMorgan and holding advanced degrees from University of Iowa and Yale, he blends research rigor with production-minded engineering. Colleagues rely on him to bridge cross-functional teams and deliver scalable ML solutions that move from prototype to measurable product impact.
10 years of coding experience
9 years of employment as a software developer
Bachelor of Science - BS, Bachelor of Science - BS at Peking University
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at Yale University
Master of Science - MS, Master of Science - MS at University of Iowa
English, Chinese