Dustin Winslow is a highly accomplished data science engineer with a strong academic background in both philosophy and physics. He studied at the University of California, Berkeley, where he earned his bachelor's degree in astrophysics and physics. Later on, he pursued his Doctor of Philosophy in Philosophy degree at the University of California, Santa Cruz.

Throughout his career, Winslow has gained invaluable experience working with data science and geophysics. He began his career as a marine geophysicist at UC Santa Cruz before transitioning to data science. He then became a data science fellow at Science to Data Science, where he honed his skills in machine learning, data science, and statistical analysis. Afterward, Winslow worked as a data scientist at Growthintel, where he applied his expertise in advanced analytics and data visualization techniques to identify market trends for various clients.

Currently, Winslow serves as a data science engineer at Citymapper, where he leverages his expertise in Python programming, machine learning, and data modeling to design and implement innovative data solutions for the public transit sector.

Overall, Winslow's impressive educational background, range of professional experience, and expertise in data science and geophysics make him a highly qualified professional in the field.