Wayne Zhao, PhD
About Wayne Zhao, PhD
Wayne Zhao, PhD, is a Scientific Programmer currently working at Elucid in Boston, Massachusetts. He has extensive experience in computational biomechanics, statistical modeling, and machine learning, having held positions at Worcester Polytechnic Institute and Dartmouth College.
Work at Elucid
Wayne Zhao serves as a Scientific Programmer at Elucid since 2021. In this role, he has built a platform that integrates various tools and programs to meet engineering and statistical needs for personalized diagnostics software. His work involves utilizing distributed GPU computation for deep learning applications, enhancing the efficiency and capability of the software solutions developed by the company.
Education and Expertise
Wayne Zhao earned his Doctor of Philosophy (Ph.D.) in Mechanical Engineering, Bioengineering, and Biomedical Engineering from Tianjin University of Science & Technology, completing his studies from 2007 to 2013. His educational background provides a strong foundation in engineering principles and advanced data science techniques, which he further developed through a data science bootcamp. His expertise includes statistical modeling, machine learning, and neural network techniques, particularly in the field of computational biomechanics.
Background
Wayne Zhao has held various academic and research positions throughout his career. He worked as an Assistant Research Professor at Worcester Polytechnic Institute from 2019 to 2021 and as a Postdoctoral Researcher there from 2016 to 2019. Prior to that, he was a Research Associate at Dartmouth College from 2013 to 2016. His early career included internships at ESI Group in Shanghai, China, where he gained practical experience in the field.
Achievements
Wayne Zhao has authored seven machine learning publications, notable for being the first applications of their kind in their respective research fields. His contributions to the field of computational biomechanics during his tenure at Worcester Polytechnic Institute involved applying advanced statistical modeling and machine learning techniques. He has also developed and managed project ideas throughout his professional career, showcasing his ability to lead and innovate in research and development.