LATAM School of Artificial Intelligence 2026

Organized by the "Universidad Peruana de Ciencias Aplicadas" and "SIMBig" | Co-located with SIMBig2026

| Oct 23-26, 2026
| Lima, Peru | Facultad de IngenierĂ­a - UPC
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(Modalidad presencial en Lima y virtual para todo el mundo)

About LASAI

The Latin American School of Artificial Intelligence (LASAI) is an intensive educational program designed to advance AI knowledge and research in Latin America. Our mission is to provide high-quality training, foster collaboration among researchers, and promote the development of AI solutions for regional challenges.

Location & Registration

The school will take place at Faculty of engineering at UPC in Lima, Peru. Registration is required for participation.

Target Audience

Students, researchers, and professionals interested in artificial intelligence and machine learning from Latin America.

Requirements

Basic knowledge of programming or mathematics. Laptop required for hands-on sessions.

Organization

Organized by leading AI researchers and institutions from Latin America in collaboration with SIMBig.

Keynote Speakers

Eduardo Blanco

Eduardo Blanco

University of Arizona, USA

Eduardo is professor in the Department of Computer Science at the University of Arizona. He is affiliated with Applied Math and Cognitive Science.

Omar Alonso

Omar Alonso

Amazon Science

Omar Alonso is a senior manager of applied science at Amazon. In addition, Omar Alonso is a part-time lecturer at the Khoury College of Computer Sciences at Northeastern University.

Fernando de la Torre

Fernando De La Torre

Cargenie Mellon University, USA

Fernando De la Torre received his B.Sc. degree in Telecommunications, as well as his M.Sc. and Ph. D degrees in Electronic Engineering from La Salle School of Engineering at Ramon Llull University, Barcelona, Spain in 1994, 1996, and 2002, respectively

Armando Solar-Lezama

Armando Solar-Lezama

MIT (Massachusetts Institute of Technology), USA

Armando is a Distinguished Professor of Computing at MIT Schwarzman College of Computing. Armando leads the Computer Assisted Programming Group . The focus of my research is program synthesis, an exciting research area that lies at the intersection of Programming Systems and Artificial Intelligence.

Jorge Ortiz

Jorge Ortiz

Rutgers University, USA

Jorge Ortiz spent 5 years as a research staff member at IBM Research, where he attained over a dozen patents working on machine learning for cyber-physical systems and the Internet-of-Things.

Maciej Ogrodniczuk

Maciej Ogrodniczuk

Polish Academy of Sciences, Poland

Since 2010 Maciej has been involved in the field of semantic processing of Polish discourse in the field of coreference and methods of its automatic resolution with computational-linguistic methods.

Hugo Alatrista-Salas

Hugo Alatrista-Salas

De Vinci Higher Education, Paris, France

Hugo Alatrista-Salas is a full-time professor at De Vinci Higher Education in Paris, France. He received his PhD in Computer Science from the University of Montpellier, France, in collaboration with the University of New Caledonia. His thesis focused on spatiotemporal pattern mining from georeferenced data related to health and environmental issues. His research focuses on extracting knowledge from data using techniques such as pattern mining, machine learning, text mining and information visualisation. He is also the Chief Data Officer (CDO) at Ping4All, a sports and health technology company founded to promote people's physical and mental well-being worldwide. He also co-founded SIMBig, one of the most important conferences in Latin America.

Juan Anronio Lossio Ventura

Juan Antonio Lossio-Ventura

National Institutes of Heath, USA

Antonio works as a Research Scientist at the National Institutes of Health (NIH) in the United States. Within the NIH, I is a member of the Machine Learning Team based at the National Institute of Mental Health (NIMH-NIH). His professional background encompasses expertise and research experience in the following areas, with a specific focus on their application in health and biomedicine: (1) data science, (2) natural language processing (NLP), (3) machine learning, and (4) knowledge bases.

Registration

1

Registration fees

Category Fees for certification
Peruvian attendees (Coming soon)
Foreign attendees (Coming soon)

Frequently Asked Questions

What is the LATAM School of AI?

It is an artificial intelligence school aimed at students and professionals from Latin America, with intensive sessions and conferences.

Where will it take place?

At the Faculty of Engineering () of the Universidad Peruana de Ciencias Aplicadas (UPC), Lima, Peru.

What are the requirements?

Basic knowledge of programming or mathematics and a laptop for hands-on sessions.

What language will the sessions be in?

Sessions will be conducted in English and Spanish, depending on the speaker.

Will there be a certificate?

Yes, a participation certificate will be awarded to those who attend all sessions.

General Chairs

Juan Antonio Lossio-Ventura

Juan Antonio Lossio-Ventura

Ph.D. in Computer Science

National Institutes of Health, Bethesda, USA

Hugo Alatrista-Salas

Hugo Alatrista-Salas

Ph.D. in Computer Science

De Vinci Reseach Center Paris, France

Local Chairs

(Coming soon)

General Organizer

Local Organizers

(Coming soon)

Collaborating Institutions

(Coming soon)

Venue

(Coming soon)