3rd LARS-IASC School on Computational Statistics and Data Science
http://www.lacsc2020.itam.mx/
7-8 June, Mexico City, Mexico
Conference theme: Stochastic Simulation and Reinforcement Learning
This is a satellite event of LACSC 2020, and it is jointly organized by the ITAM, the LARS-IASC and the ISI.
The school aims to spread the knowledge base and advances in Statistical Computing in Latin American
countries and to increase the quantity of researchers and data scientists in the field. The program is organized
around three axes: knowledge base and advances, software applications and data science applications and it
is oriented to postgraduate students, researchers and practitioners in statistics and data science
Instructors
Enrique Sucar, Instituto Nacional de Astrofísica, Óptica y Electrónica, México
David Muñoz-Negrón, Instituto Tecnológico de México (ITAM)
Eduardo F. Morales, Instituto Nacional de Astrofísica, Óptica y Electrónica, México
IASC Schoolarships
Up to 10 scholarships – 100% waiver in registration fee for people living in developing and low-income countries,
1 full scholarship that includes registration fee, travel, and stay expenses.
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Manuel Mendoza-Ramirez
Statistics Professor
Instituto Tecnologico Autonomo De Mexico
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