Summary
Grady King is a data science undergraduate at West Virginia University focused on applying quantitative methods to biomedical questions, particularly the links between the human microbiome, ultra-processed foods, and disease. As an undergraduate research assistant and co-author on an econometrics-based paper examining the Affordable Care Act’s effect on chronic disease, he blends epidemiology, statistics, and causal inference in applied research. He has experience using deep learning (GRU, LSTM, normalizing flows) for video compression and practical skills in Python, PyTorch, and web scraping from oncology drug-repositioning work. A dedicated tutor and mentor, Grady enjoys teaching statistics and Unix to beginners while exploring interdisciplinary projects that bridge healthcare and robotics. Outside the lab he climbs rocks, cooks, and builds robots—interests that reflect his hands-on, experimental approach to problem solving.
10 years of coding experience
1 year of employment as a software developer
Bachelor of Science - BS, Data Science, Bachelor of Science - BS, Data Science at West Virginia University
High School Diploma, General Studies, High School Diploma, General Studies at Morgantown High School