Summary
Clare Huang is a data science leader and Director of Personalization Technologies with a PhD in Geophysical Sciences and a decade of experience blending climate science, machine learning, and product-focused analytics. She transitioned academic research—where she published in Science and built an open-source Python library for climate diagnostics—into industry roles at Epsilon, scaling personalization and content valuation models. Clare has hands-on experience across scientific computing, NLP, and large-scale data processing (analyzed ~10TB of climate data) and a track record of shipping prototypes, including an NLP search engine at Tempus and survival-analysis dashboards during an Insight fellowship. Known for translating complex physical analogies into practical tools (e.g., framing atmospheric blocking as traffic congestion), she mentors engineers and scientists while continuing to contribute open-source code and teaching materials.
10 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (PhD) Atmospheric Sciences and Meteorology, Doctor of Philosophy (PhD) Atmospheric Sciences and Meteorology at University of Chicago
The Chinese University of Hong Kong (CUHK)
English, Chinese, German, Japanese, Japanese