Dan Shiebler

Dan Shiebler, a Staff Machine Learning Engineer at Twitter and PhD candidate at the University of Oxford, dives into the intersection of academia and industry. He discusses the challenges of balancing a full-time job with PhD research in category theory. Dan shares insights on transitioning from MATLAB to Python, innovative data labeling strategies in insurance, and the skills sought in tech interviews. He also reflects on the evolving roles of data professionals and the future of machine learning approaches. It's a blend of theoretical depth and practical application!