Lillian Tong is a Senior Data Science Manager in San Francisco with a decade of experience applying machine learning and analytics across biotech and consumer platforms. A Caltech-trained bioengineer, she translated wet-lab expertise into data-driven product development, from high-throughput protein assays to production ML at companies like Terray Therapeutics and Skillz. She leads teams building end-to-end data products—rapid prototyping, TB-scale analytics on Spark/AWS, and model deployment—while mentoring engineers and managing interns. Her toolkit spans Python, MATLAB, SQL, forest-based models, topic modeling, web scraping, and visualization, enabling both R&D experiments and customer-facing solutions. Notably, she has hands-on lab experience maintaining a 500+ animal colony and automating lab-to-data workflows, giving her uncommon fluency across biology and data engineering. She shares projects and technical writing on her personal blog and actively connects with the data science community.
10 years of coding experience
10 years of employment as a software developer
Bachelor of Science (BS), Bioengineering, Bachelor of Science (BS), Bioengineering at California Institute of Technology
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