Daniel Wiesenthal

Daniel Wiesenthal is a multifaceted professional with experience as a Data Scientist, Engineer, Leader, Entrepreneur, and Educator.

His passion lies in creating exceptional human experiences through data-driven products that utilize advanced algorithms.

Dan is skilled in collaborating across business functions and effectively communicating with both technical and non-technical audiences.

He holds dual degrees from Stanford University, an MS in Computer Science and a BS in Symbolic Systems, with a focus on Human Computer Interaction (HCI) and Artificial Intelligence (AI).

Dan's background blends linguistics, logic, cognitive psychology, and computer science, resulting in innovative research at the intersection of AI, HCI, Natural Language Processing, Network Analysis, and Machine Learning.

His early career involved contributing to various early-stage startups dedicated to data products, demonstrating proficiency in product design, team leadership, and algorithm development.

Dan transitioned to education, serving as a Lead Instructor in Data Science at Galvanize before joining Stitch Fix as a Staff Data Scientist, where he contributes to the Merchandise Algorithms team.

He is driven by the goal of enhancing business understanding and performance through data analytics.

Outside of work, Dan enjoys coffee, making new connections, and fostering friendships.