Paula Gonzalez Avalos
Data Lover, Coach, Manager.
Paula is a Scientist turned Data Scientist by years of integrating statistics, machine learning methods and data wrangling and visualization pipelines while trying to understand science. In a similar way, in a continuous effort to improve science communication, with a strong sense of design and enjoyment of public speaking, she has become an expert in data visualization, visual presentation and storytelling.
She loves to teach and now I mostly manage teams.
She is also sometimes draw science comics: https://github.com/pga99/comics
Sessions
AI agents are reshaping how we work, how we code, how we search — and quietly, how we think about ourselves as practitioners. The ground is shifting. And nobody has all the answers yet. That is exactly why we are doing this. We invite you into an open, interactive workshop in the community space: no slides, no frontal talk, no recording. Just honest conversations about what skills still matter, what is becoming obsolete, and what we need to build to navigate what is coming.
AI is no longer just a technical tool. It is fundamentally rewriting how we approach every professional task and we are now seeing a shift that impacts every role in every industry. In this panel discussion we will discuss the question no one can answer too confidently: in a world where AI writes the code, drafts the report, and automates the pipeline, what exactly are we still supposed to be learning?