Experience

MIT Sports Lab

• United States
• Higher Education
• 1 - 100 Employee

• Research Assistant

  • Jan 2021 - Present

  - Working with AusCycling to use analytics to inform performance outcomes. - Using skeletal data for applications in semi-automated offside, defensive mode detection, and quantifying midfielder awareness. In collaboration with FIFA. - Communicating key findings via data visualizations, slide decks, and executive summaries to partners at FIFA, English Premier League, Football DataCo, and AusCycling. - Working with AusCycling to use analytics to inform performance outcomes. - Using skeletal data for applications in semi-automated offside, defensive mode detection, and quantifying midfielder awareness. In collaboration with FIFA. - Communicating key findings via data visualizations, slide decks, and executive summaries to partners at FIFA, English Premier League, Football DataCo, and AusCycling.



Hawk-Eye Innovations Ltd

• United Kingdom
• Technology, Information and Internet
• 700 & Above Employee

• Data Science Intern

  • Jun 2023 - Aug 2023

  Created tools for measuring and visualizing basketball jump shot mechanics from skeletal tracking data, complete with quality assurance checks. Set for a trial run with multiple NBA teams during the 2023-24 season. Created tools for measuring and visualizing basketball jump shot mechanics from skeletal tracking data, complete with quality assurance checks. Set for a trial run with multiple NBA teams during the 2023-24 season.



Hawk-Eye Innovations Ltd

• United Kingdom
• Technology, Information and Internet
• 700 & Above Employee

• Data Science Intern

  • Jun 2022 - Aug 2022

  - Used skeletal tracking data to automate detection and analysis of aerial duels in football (soccer), expanding the set of observable on-pitch events in the Serie A FDP. - Designed and implemented algorithms for inferring baseball bat position from hitter skeletal data in the absence of bat-tracking technology, allowing for the addition of a virtual bat in MLB's FieldVision software. - Used skeletal tracking data to automate detection and analysis of aerial duels in football (soccer), expanding the set of observable on-pitch events in the Serie A FDP. - Designed and implemented algorithms for inferring baseball bat position from hitter skeletal data in the absence of bat-tracking technology, allowing for the addition of a virtual bat in MLB's FieldVision software.



MIT Sloan School of Management

• United States
• Higher Education
• 700 & Above Employee

• Undergraduate Student Researcher

  • Jan 2020 - Aug 2020



UT Southwestern Medical Center

• United States
• Hospitals and Health Care
• 700 & Above Employee

• Research Intern

  • Jun 2018 - May 2019

  Studied Sport-Related Concussion symptomatology as it relates to mechanism of injury and measures of resiliency using statistical analysis and IBM SPSS software in the Cullum Lab. Studied Sport-Related Concussion symptomatology as it relates to mechanism of injury and measures of resiliency using statistical analysis and IBM SPSS software in the Cullum Lab.



Lakewood Country Club - Dallas, Texas

• United States
• Hospitality
• 1 - 100 Employee

• Assistant Swim Coach

  • May 2017 - Aug 2017



Scottish Rite for Children

• United States
• Hospitals and Health Care
• 700 & Above Employee

• Sports Medicine Research Intern

  • Jun 2016 - Aug 2016

  Accessed Epic medical record system and coded and entered data into an Excel spreadsheet. Received shadowing experience with Dr. Shane Miller. Accessed Epic medical record system and coded and entered data into an Excel spreadsheet. Received shadowing experience with Dr. Shane Miller.