Dan Cervone
About Dan Cervone
Dan Cervone Co-Founder & Principal Data Scientist
Dan Cervone is currently serving as the Co-Founder and Principal Data Scientist. His role involves overseeing data-driven strategies and research initiatives, leveraging his extensive background in quantitative analysis and statistical modeling. His leadership in data science helps steer the organization's efforts in innovative and effective directions.
Director of Quantitative Research with the LA Dodgers
Previously, Dan Cervone held the position of Director of Quantitative Research with the Los Angeles Dodgers. In this capacity, he directed research efforts focused on advanced analytics to enhance team performance and player evaluations. His work contributed significantly to the Dodgers' data-driven decision-making processes during his tenure.
Dan Cervone Moore-Sloan Fellow at NYU's Center for Data Science
Dan Cervone received the prestigious Moore-Sloan Fellowship at New York University's Center for Data Science. This fellowship highlights his expertise and contributions to the field of data science, supporting his research endeavors and collaborative projects within the academic community.
Educational Background and Research at Harvard
While pursuing his PhD in Statistics at Harvard University, Dan Cervone published foundational work in sports analytics as part of the XY Research group. His academic research has been pivotal in advancing quantitative methods in sports, contributing to the broader understanding of analytics in this domain.
Awards from MIT Sloan Sports Analytics Conference
Dan Cervone has been recognized with awards from the MIT Sloan Sports Analytics Conference in 2015 and 2019. These accolades are testament to his impactful contributions to sports analytics, distinguishing him in the field for his innovative research and practical applications.