Hugo Bowne-Anderson is an independent data and AI consultant with extensive experience in the tech industry. He is the host of the industry Vanishing Gradients, where he explores cutting-edge developments in data science and artificial intelligence. As a data scientist, educator, evangelist, content marketer, and strategist, Hugo has worked with leading companies in the field. His past roles include Head of Developer Relations at Outerbounds, a company committed to building infrastructure for machine learning applications, and positions at Coiled and DataCamp, where he focused on scaling data science and online education respectively. Hugo's teaching experience spans from institutions like Yale University and Cold Spring Harbor Laboratory to conferences such as SciPy, PyCon, and ODSC. He has also worked with organizations like Data Carpentry to promote data literacy. His impact on data science education is significant, having developed over 30 courses on the DataCamp platform that have reached more than 3 million learners worldwide. Hugo also created and hosted the popular weekly data industry podcast DataFramed for two years. Committed to democratizing data skills and access to data science tools, Hugo advocates for open source software both for individuals and enterprises.

Ravin Kumar is a Research Engineer at Google, focused on large language models and Trust & Safety. With over a decade of experience applying mathematics, statistics, and computation across domains—from aerospace to open source—he brings a practical, cross-disciplinary lens to complex problems. Ravin is also a core contributor to PyMC, a leading platform for statistical data science, and is passionate about making math accessible and useful. He has authored a book and published several papers on the topic. More of his work is available at ravinkumar.com and github.com/canyon289.