Daniel Chesley

Daniel is an Associate at Work-Bench where he focuses on sourcing and evaluating new investments, as well as supporting Work-Bench’s portfolio companies. Daniel takes a thematic, research driven approach to investing, focusing on machine learning and AI, developer tools, and future of work.

Prior to joining Work-Bench, Daniel was a Product Manager at Hyperscience where he was responsible for pre-trained machine learning models, synthetic data generation, and use case expansion. Previously, he was a Go-To-Market Strategy Lead and began his career at IBM in financial services.

Daniel graduated from the Smeal College of Business at Penn State with a B.S. in Finance with a concentration in Corporate Innovation and holds a minor in glaciology.