Jeff Wen

Jeff Wen is a proactive PhD student specializing in applying Machine Learning (ML) and Artificial Intelligence (AI) to address sustainability and development challenges. His professional journey showcases a robust background in data science, collaborating with diverse teams across various offices to analyze data and drive actionable insights for high-profile clients.

With a fervent interest in machine learning, data mining, and data visualization, Jeff cultivates his skills continually, including self-taught proficiency in Python, R, SQL, and Git. His ongoing pursuit of knowledge extends to learning Javascript, D3.js, MongoDB, and other cutting-edge tools to enhance his problem-solving capabilities.

Jeff's educational achievements include a Master of Environmental Studies (M.E.S.) in Sustainability from the University of Pennsylvania, a Doctor of Philosophy (PhD) in Earth System Science from Stanford University, and a Bachelor of Science (B.S.) in Operations and Information Management from the prestigious Wharton School at the University of Pennsylvania.

Throughout his career, Jeff has contributed to renowned organizations, serving as a Pear Fellow at Pear VC, a Data Scientist at Tesla, a Data Science Team Lead at Pixability, and a Data Science Fellow at Metis. He has also held roles at notable institutions like Harvard University's Berkman Klein Center for Internet & Society, where he was an Assembly Fellow focusing on AI Ethics and Governance, and ZS Associates, where he worked as a Business Analytics Associate and a Business Operations Associate Intern.

Given his research background, Jeff has also lent his expertise as a Research Assistant at The Wharton School and engaged in impactful projects during his tenure as a Summer Associate at Kachan & Co. Jeff's multi-faceted journey underscores his commitment to leveraging data-driven approaches to address complex global issues.