Dylan Kong

Dylan Kong is a Machine Learning Engineer/NLP Data Scientist at OncoLens, where Dylan implemented efficient audio-to-speech models and automated data extraction pipelines. Previously, Dylan worked as an Associate Data Scientist at UL, where Dylan designed document automation APIs and NER models. As a Student Data Analyst at the University of Michigan, Dylan led data analysis for research groups and conducted regression analysis. In their role as a Quantitative Trading Researcher at Manulife Teda Fund Management, Dylan implemented portfolio optimization strategies and analyzed investing styles. Dylan holds a Master of Science in Analytics from Georgia Institute of Technology and a Bachelor of Science in Economics from the University of Michigan.