Michael Dolce

Michael Dolce, PhD, currently serves as a Data Scientist II at Radian since April 2025. Prior experience includes a prominent role at Tufts University, where significant research was conducted in Bayesian measurement of physics parameters using Markov Chain Monte Carlo methods, and the implementation of an analytical model into a C++ analysis package. Additionally, Dolce applied Boosted Decision Trees for dataset classification and served as a Graduate Research Assistant at Wichita State University, focusing on Convolutional Neural Networks for physics data processing. Prior positions include a Research Intern at Brookhaven National Laboratory, where contributions were made to the Deep Underground Neutrino Experiment, and as an Undergraduate Researcher at the University at Albany, analyzing data from the ATLAS inner detector at CERN. Academic credentials include a PhD and MS in Physics from Tufts University and a Bachelor's degree from the University at Albany.