Anthony A Gatti

Anthony A Gatti is a Postdoctoral Scholar at Stanford University's Wu Tsai Human Performance Alliance and School of Medicine. His research integrates biomechanics, medical imaging, and machine learning to advance musculoskeletal health diagnostics, particularly focusing on knee osteoarthritis and exercise physiology.

• Education: Ph.D. in Rehabilitation Science (McMaster University, 2021), M.Sc. in Rehabilitation Science (McMaster University, 2015), B.Sc. in Kinesiology (McMaster University, 2013)

His research develops automated tools for quantifying knee anatomy and integrating anatomical data with biomechanical models. These methods analyze acute responses to exercise and long-term joint degeneration, leveraging MRI, deep learning, and statistical shape modeling.

Recent publications emphasize AI-driven segmentation, exercise-induced cartilage changes, and biomechanical simulations, spanning journals like Magnetic Resonance in Medicine and Arthritis & Rheumatology. Trends include machine learning validation for clinical predictions and open-source tool development for musculoskeletal analysis.

• Scientific Awards: CIHR Postdoctoral Fellowship (top 1%), Mitacs Accelerate Entrepreneur, Forge Student Start-Up Competition Winner, multiple scholarships from McMaster University

He founded NeuralSeg, a company commercializing deep learning-based MRI segmentation technology. Collaborations include Stanford's Digital Athlete Moonshot Project with advisors like Scott Delp and Garry Gold.