Summary
Daniel Cohen is a PhD student in Managerial Economics & Strategy at Northwestern’s Kellogg School of Management and an NSF Graduate Research Fellow studying how households make financial decisions using novel data collection and analysis methods. With 14 years of applied research and data science experience, he has blended academic rigor and industry practice at places like Microsoft Research, Banco de México, and VMware. He designs and implements machine-learning and econometric analyses—ranging from digital credit evaluations in Nigeria to macroeconomic recession forecasting—often producing reproducible pipelines and automated reports. Daniel has substantial teaching and mentorship experience, having led large-student statistics courses at UC Berkeley and supervised dozens of GSIs and tutors. His work uniquely combines field experiments, computational methods, and policy-relevant questions about retirement and financial inclusion. Based in Evanston, he brings both hands-on technical execution and an ability to translate complex analyses into actionable guidance for policymakers and practitioners.
14 years of coding experience
5 years of employment as a software developer
Bachelor's degree (High Distinction in General Scholarship), Economics (High Honors) & Data Science, 3.91, Bachelor's degree (High Distinction in General Scholarship), Economics (High Honors) & Data Science, 3.91 at University of California, Berkeley
Lincoln High School
Kellogg School of Management
Spanish, English