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.

Nathan is an experienced software engineering leader with a broad background spanning web development, SaaS, public cloud infrastructure, and data and insights platforms. He has deep expertise in building and leading remote engineering teams, covering everything from HR and finance to risk, product management, and implementing agile practices in a way that’s both effective and developer-friendly.

Before the pandemic, Nathan was a key figure in the PyData community—serving as the lead organizer of PyData Los Angeles, running local Python/PyData meetups, and contributing to PyCon programming. He’s also contributed to open source projects in the PyData ecosystem, including scikit-yb (for visualizing scikit-learn workflows) and Dask.

These days, Nathan is operating with an AI-first mindset—using LLMs to boost productivity and designing large-scale systems where language models are the core innovation layer.