Two talks on AI: how it works and when it doesn’t & building a career in tech
What: Two talks on AI - In the framework of Focus Carrière Science 2026
When: Thursday, 26th March | 17h15-19h
Where: Kellenberger (1S081), Sciences III (EN)
Registration: required (Register here)
Prof. Anders KARLSSON
“THE SIMPLE IDEAS BEHIND AI: HOW IT WORKS AND WHEN IT DOESN’T” (Prof. Anders KARLSSON): In this talk, Prof. Anders Karlsson demystifies modern AI by presenting its fundamental principles in simple terms, along with some of its limitations.
Dr. Santiago CODESIDO
“FROM MATHS TO TECH” (Dr. Santiago CODESIDO): Starting from a PhD in mathematical physics, moving through applied research in analytical chemistry, then data science at a well established software company, and finally into the adventure of launching an AI solutions startup, Santiago Codesido will share his path as a backdrop against which to discuss the opportunities - and the challenges - awaiting in the tech sector.
About the speakers:
Prof. Anders KARLSSON
Anders Karlsson is a mathematician working at the University of Geneva since 2010. He did his bachelor and master studies in engineering physics at KTH Stockholm and received a mathematics Ph.D. from Yale University in 2000. Among his longstanding interests is the dynamical theory of nonexpansive maps which have turned out to appear in machine learning in several fundamental ways. In this latter field, he has published articles in particular together with experts (including a University of Geneva graduate!) from Google Research, San Francisco.
Dr. Santiago CODESIDO
Santiago Codesido is Anaxa’s Chief Technology Officer, where he leads the design and development of scalable AI and data systems. He holds a PhD in Mathematical Physics from the University of Geneva, where he researched mathematical methods developed within string theory and their broader applications. He later joined the Department of Analytical Chemistry to build advanced models for data analysis, visualization, and prediction in pharmaceutical research. Prior to Anaxa, he spent nearly five years at Proton, where he led a technical team responsible for smart automations and engineering solutions in support of data science initiatives across the company.