Matt is a fifth-year PhD student in biostatistics at the Harvard T.H. Chan School of Public Health. He is advised by Rafael Irizarry and a member of @rafalab at the Dana-Farber Cancer Institute Department of Data Science.
His research interests include deep learning, machine learning, and data science for applications ranging from public health and computational genomics to sports analytics and previously economics. Specifically, his work focuses on developing computational tools to aid in the wrangling, statistical analysis, and visualization of results.
His current projects include the estimation and assessment of effective drug response arising in dose-response phramacogenomic applications, as well as developing interpretable deep convolutional neural network (CNN) architectures for studying the human genome.
PhD candidate in Biostatistics, 2020
BS/BA in Statistics and Economics, 2012
University of Minnesota Duluth
I have been a teaching assistant for the following courses at Harvard University: