Health Sciences, Machine Learning
Applications in Health Sciences
Computer-Supported Cooperative Work
Max Lieblich is an Associate Professor of Mathematics at the University of Washington. He received his AB from Harvard and his PhD from MIT, then spent time at Brown and Princeton before coming to the University of Washington in 2009. His mathematical research is focused on the field of algebraic geometry and its applications in algebra and number theory. Recently, he became interested in using computer vision and machine learning to analyze workplace safety. With collaborators in public health and medicine, he has been investigating the semiautomation of musculoskeletal hazard assessment. He and his team hope that the right tools will significantly enhance our ability to gather and model data, leading to safer workplaces and increased productivity and efficiency.