Angel Chen is a graduate student researcher at Harvard T.H. Chan School of Public Health specializing in computational biology and quantitative genetics, with nine years of experience applying data science to health research. She blends practical programming skills in Java and Python with machine learning to translate complex biological data into actionable public health insights. Her background spans academic research roles at UCLA and the University of Chicago, industry internships in bioinformatics and data management, and a recent summer analyst role that sharpened her analytical rigor. Based in Boston, she is building on a strong interdisciplinary foundation—human biology, statistics, and data science—to bridge computational methods and real-world health problems, and she’s known for steadily teaching herself new languages and tools to tackle emerging challenges.
9 years of coding experience
1 year of employment as a software developer
Bachelor of Science - BS, Human Biology & Society, Statistics and Data Science, Bachelor of Science - BS, Human Biology & Society, Statistics and Data Science at University of California, Los Angeles
Master of Science - MS, Computational Biology and Quantitative Genetics, Master of Science - MS, Computational Biology and Quantitative Genetics at Harvard T.H. Chan School of Public Health
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