This panel was celebrated as part of the Career & Innovation Hub Program co-organized by the Banff International Research Station (BIRS) and other leading Canadian Mathematical institutions.
Roles:
- Organizer
- Facilitator
- Speaker
Abstract:
In this panel, alumni of graduate programs in mathematics, computer science, and statistics share how they successfully transitioned from academia into industrial positions in the areas of machine learning, AI, and data science. After learning from the story of each of our four panelists, we’ll have an extensive Q&A session.
Luz Angélica Caudillo Mata
Computational Scientist & Community Builder
Passionate about driving innovation and developing cutting-edge technology at the intersection of GeoAI and computational geosciences, while fostering collaborative communities.