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Alex Chang

Machine Learning Engineer at Facebook

Alex Chang is an accomplished professional with a diverse educational background, including a Master's Degree in Management Science and Engineering, as well as dual Bachelor's degrees in Chemistry and Public Policy from Stanford University.

Throughout his career, Alex has held various roles in prestigious organizations, showcasing his expertise in fields such as machine learning, data science, engineering, and business development. He has worked as a Machine Learning Engineer at Meta, a Data Scientist at Hopper, and a Staff Engineer at Booz Allen Hamilton.

Alex's passion for teaching and research is evident from his experience as an Econ 1 TA at Stanford University, an Undergraduate Researcher at University of Oxford and Moerner Lab, and a Teacher at Breakthrough Collaborative. Furthermore, his dedication to public service is highlighted through his internships at the U.S. Department of Energy, Office of the Secretary, where he was involved in public engagement and legislative affairs.

With a strong foundation in both STEM and social sciences, Alex Chang possesses a unique skill set that combines technical expertise with a keen understanding of policy and economics. His academic achievements and professional experiences reflect a well-rounded individual who excels in multidisciplinary environments and thrives on challenges.

Alex's impressive track record and commitment to continuous learning make him a valuable asset in the fields of technology, research, education, and public service.

Alex Chang
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Location

Cambridge, Massachusetts, United States