Hugo Bowne-Anderson

Hugo Bowne-Anderson is an independent data and AI scientist, consultant, educator, and podcaster based in Darlinghurst, New South Wales, Australia. He has a strong background in mathematics and data science, having earned a PhD in Pure Mathematics from the University of New South Wales. His career includes significant roles in academia and industry, including positions at Yale University and the Max Planck Institute for Cell Biology and Genetics, where he focused on applied mathematics in biological research.12

At DataCamp, where he worked for several years, Bowne-Anderson was instrumental in developing the Python curriculum and has created over 25 courses that have impacted more than 170,000 learners globally. He is also the host of the podcast DataFramed, where he interviews professionals in the data science field to explore the industry's trends and challenges.123 His work emphasizes promoting data and AI literacy, helping organizations enhance their data skills, and engaging in public discussions about the implications of data science in society.23

In addition to his technical expertise, Bowne-Anderson has contributed to various publications, including articles in the Harvard Business Review, and he actively participates in webinars and talks related to data science and AI.3