CV

Skills

Experience

• Senior Data Scientist
  Sport Performance Lab (SPL) @ Maple Leaf Sports and Entertainment (MLSE)
  September 2023 - Present
  Toronto, ON, Canada

  • Sport Performance Lab (SPL) is a research & development group that works across all Maple Leaf Sports & Entertainment (MLSE) teams (Raptors, Maple Leafs, Toronto FC, Argonauts) on strategic research initiatives in sports analytics, player performance, and sports science.

  • Utilize cutting-edge statistical tools, deep learning, and computer vision techniques to analyze marker-less motion capture data and 2D tracking data, enabling precise biomechanical analysis and strategic decision-making.

  • Innovating data-driven approaches to enhance player development strategies, injury prevention protocols, and tactical decision-making processes

  • Collaborating cross-functionally with coaches, physiotherapists, and performance analysts to integrate biomechanical insights into training programs and game strategies.

  • Leading initiatives to leverage tracking data for comprehensive analysis of team dynamics, player positioning, and opponent scouting, contributing to strategic advancements in team operations.

• Research Scientist
  Department of Physics, University of Toronto
  September 2018 - September 2023
  Toronto, ON, Canada

  • Conducted high-level research in quantum magnetism, investigating the emergence of exotic states of matter in condensed matter systems.

  • Developed end-to-end Monte Carlo simulations to model and analyze complex quantum spin systems, unraveling the intricate interplay of magnetic interactions.

  • Published five research articles in renowned scientific journals, contributing novel insights to the field of condensed matter physics.

  • Presented research findings at prestigious international scientific conferences and summer schools, fostering collaboration and knowledge exchange within the scientific community.

  • Mentored and supervised graduate students, providing guidance in research methodologies, data analysis techniques, and academic writing.

• Teaching Assistant
  Department of Physics, University of Toronto
  September 2018 - September 2023
  Toronto, ON, Canada

  • Conducted hour-long tutorial lectures for specialized undergraduate courses.

  • Effectively communicating complex scientific concepts in a simplified manner.

  • Courses: PHY293 - Waves and Modern Physics, PHY252 - Thermal Physics, PHY100 - The Physics of Everyday Life.

• Referee/Peer Reviewer
  American Physical Society (APS)
  July 2021 - July 2023
  Remote

  • Demonstrated expertise in reading and interpreting complex scientific literature, assessing the accuracy, methodology, and significance of research contributions

  • Provided insightful feedback and constructive criticism to authors, ensuring the highest standards of scientific integrity and excellence are maintained.

  • Collaborated closely with journal editors to summarize content and offered informed recommendations regarding the suitability of manuscripts for publication.

Education

• PhD, Physics
  University of Toronto (Toronto, ON, Canada)
  September 2018 - August 2023
  Thesis: Hidden order and spin liquids in correlated d-orbital oxides (link)
  Advisor: Prof. Arun Paramekanti

• Bachelor of Engineering, Applied Physics
  Nagoya University (Nagoya, Japan)
  October 2014 - August 2018
  GPA: 4.17/4.30
  Thesis: The Z3 chiral clock model
  Advisor: Prof. Yukio Tanaka

Awards and Fellowships

• Van Krandendonk Teaching Award (2022)
  Dept. of Physics, University of Toronto

• Ted Mossman Graduate Fellowship (2022)
  Faculty of Arts and Science, University of Toronto

• Nagoya University President's Award (2018)
  Nagoya University

• Monbukagakusho Scholarship (2018, 2016)
  Japan Student Services Organization (JASSO)