Mark Mace

Mark Mace is an accomplished data scientist and physicist with extensive experience in AI-driven legal technology and high-energy physics research. Currently serving as a Staff Data Scientist at LinkSquares since November 2019, Mark specializes in building and deploying machine learning models to improve legal tech solutions. Prior positions include a Technical Advisor and Fellow at Insight Data Science, where Mark guided post-doctoral fellows and developed predictive models for Boston's MBTA system. Mark's academic background includes a Ph.D. in Physics from Stony Brook University, where significant contributions were made in computational physics and particle collision simulations. This expertise was further enhanced during a postdoctoral associate role at the University of Jyväskylä and various research positions, including work at Brookhaven National Laboratory and multiple visiting roles at Heidelberg University.