Innovative physicist transitioning into sports analytics, leveraging 3+ years of diverse research experience in industry and academia. Passionate about applying physics principles to revolutionize sports scouting methods and contribute to groundbreaking research.Sports Analytics ExperienceParticipated in the recent Sports Media Technology Baseball Data Challenge, developing a unique scouting method using player and ball tracking datasets with Python libraries.Designed custom algorithms that improved player analysis methodCurrent Research:Investigating muscle strength dynamics across the human lifespan:Analyzing MRI scans to understand peak performance in the 30s and subsequent decline.Developing mathematical models to quantify muscle movement and tension.Creating graphs to visualize muscle fiber positioning, aiming to prevent injuries and enhance athletic performance.Industry Experience:Image Scientist at Auris Health:Quantified parallax and optimized 3D experience for a custom stereo camera used in medical procedures.Designed experiments and collected data using computer vision software.Collaborated with cross-functional teams to enhance product performance, resulting in a 20% improvement in user comfort ratings.Academic Background:B.S. in Physics, University of California San Diego:Co-authored a research paper published in the European Geosciences Union journal.Implemented machine learning tools to predict weather patterns using shallow water equations, achieving an 85% accuracy rate on test data.Continuously expanding data science and sports analytics skills through online courses and industry workshops. Eager to apply my unique blend of physics expertise and analytical skills to drive innovation in sports technology and performance analysis.