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Michael Chang
Program Analyst at U.S. DOT Volpe National Transportation Systems Center
Professional Background
Michael T. Chang is an accomplished data analyst and project manager specializing in transportation and traffic safety. With a robust background in data analysis, data visualization, and program evaluation, Michael possesses a unique ability to navigate complex environments and ensure that analytics drive effective decision-making. His journey through various esteemed positions has enabled him to address pressing challenges in the transportation sector while fostering a passion for innovative solutions.
Currently serving as a Program Analyst at the U.S. Department of Transportation's Volpe National Transportation Systems Center, Michael plays a critical role in analyzing data trends that impact transportation systems across the nation. This position not only highlights his analytical skills but also emphasizes his commitment to making a significant difference in public safety and infrastructure efficiency.
Prior to joining the Volpe Center, Michael honed his expertise as a Statistical Analyst at DIGITALiBiz, Inc., where he contributed to data-driven projects and deepened his understanding of statistical methodologies in practical applications. His earlier experiences also include invaluable time as a Research Assistant Extern at the George Washington Institute of Public Policy at George Washington University, which equipped him with a strong foundation in research and academic inquiry. In all of these roles, Michael demonstrated an aptitude for translating complex data sets into actionable insights that improve policy and project development.
Education and Achievements
Michael's educational foundation laid the groundwork for his impressive career in data analysis and policy evaluation. He earned a Master of Science (M.S.) in Technology and Policy from the distinguished Massachusetts Institute of Technology (MIT), where he achieved a remarkable GPA of 4.3 out of 5. This program not only deepened his technical knowledge but also instilled a strong understanding of the intersection between technology and public policy, key competencies in his field.
Before pursuing his master's degree, he completed a Bachelor of Science (B.S.) in Computational Engineering Science from the University of California, Berkeley, boasting an impressive GPA of 3.83. This rigorous undergraduate program equipped Michael with essential skills in computational modeling and quantitative analysis, which have been integral to his professional successes.
Notable Achievements
Throughout his career, Michael has actively contributed to a range of projects that bridge data analysis and transportation policy. His experience includes serving as an Undergraduate Research Assistant at the Orthopaedic Biomechanics Laboratory at UC Berkeley, where he gained hands-on experience in research methodologies and laboratory techniques. This role not only reinforced his commitment to empirical research but also showcased his ability to collaborate effectively in team environments.
In each of his positions, Michael has consistently leveraged data to facilitate decision-making processes, ultimately enhancing safety outcomes in transportation systems. His passion for data analytics drives his continuous pursuit of innovative approaches and best practices in the field, ensuring that he remains at the forefront of developments in transportation safety and policy evaluation.