banner - EBEB - LACSC 2022

What Everyone In Data Science Should Know About Teaching And Learning






March 16th - Room 1 (afternoon)

Date and time:

18:00 to 19:00 on 03/16/2022


You are not logged in. You need to authenticate or create an account in order to watch this video.

Data scientists, programmers, statisticians are constantly learning new and rapidly evolving technologies. They often find themselves in a teaching role, either as mentors, generating tutorials, writing blog posts, giving talks, or even teaching more formally at universities or boot camps, without being formally prepared for that role. In this talk, we will review practical, evidence-based strategies for organizing and designing your lessons and materials, explaining concepts at the level of your students, using relevant examples, checking understanding, and connecting with students so that you can be more effective the next time you find yourself in a teaching position.


Yanina Bellini Saibene

Yanina Bellini Saibene

National Institute of Agricultural Technology of Argentina

I’m a researcher at INTA (National Institute of Agricultural Technology) and I’m dedicated to apply data science to the agricultural sector. I work in an Experimental Agricultural Station, so my developments and solutions are related to the productive reality of the province of La Pampa, where I live with my husband and my two beautiful children.

I enjoy teaching a lot, so I spend part of my time teaching courses and writing teaching material on my research topics. I’m co-founder of MetaDocencia, an open, free, volunteer-lead, not-for-profit, educational organization. Since 2019 I’m an RStudio Certified Trainer, since 2020 I’m an Software Carpentries Certified Instructor and since 2021 I’m a Software Carpentries Certified Trainer. Since 2022 I’m a member of the The Carpentries Execute Council. I lead the translation of Teaching Tech Together to Spanish and I’m part of the team that translate some lessons by The Carpentries also to Spanish. 

Also, I’m an active member of the R Community: I am part of the R-Ladies Global Team and founder and organizer of the R-Ladies Santa Rosa chapter. I am co-founder and chair of LatinR and member of the organizing team of useR!2020, and user!2021. I was part of the team that translated R materials to Spanish (ej: R for Data Science, RStudio Cheat Sheets).

I relate my work at INTA with my work at the R Community by seeking to make my science as reproducible and open as possible using open computing tools. I am chair, since 2016, of the Argentine Congress of Agroinformatics (CAI) and general chair in 2020 of the Argentine Conference on Informatics and Operational Research ( JAIIO) and member of the editorial commite of the Electronic Journal de SADIO.


David Muñoz

Prof. David Muñoz

Instituto Tecnologico Autónomo de México

David F. Muñoz is Professor and Head of the Department of Industrial & Operations Engineering at the ITAM, where he also serves as Adjoint Director of the Center for the Study of Competitiveness (CEC). He received a BS in Statistics from the Universidad Nacional Agraria, La Molina (UNALM) of Peru, an MS in mathematics from the Pontificia Universidad Católica del Perú (PUCP), and MS and PhD degrees in Operations Research from Stanford University.

He was formerly a full time Professor at UNALM and PUCP. Visiting posts include Purdue University, Nanyang Technological University of Singapore, the University of Valencia in Spain and the University of Texas at Austin. He is a Member of the National Research System of Mexico and an active member of professional associations: International Association for Statistical Computing (IASC), Institute for Operations Research and the Management Sciences (INFORMS), Institute of Industrial and Systems Engineering (IISE) and Sociedad Mexicana de Investigación de Operaciones (SMIO where, at present, he is the President).

He has a long career as a consultant in the areas of Process Modeling and Optimization, and Industrial Technology, and is the author of the textbooks Administración de Operaciones: Enfoque de Administración de Procesos de Negocios (Cengage Learning), Administración de Operaciones (Alfaomega), and co-author of Introducción a la Ingeniería (Cengage Learning) and Simio y Simulación: Modelado Análisis y Aplicaciones LLC).

Dr. Muñoz's research interests and publications are in the statistical analysis of stochastic simulations, applications of simulation, and design and analysis of business processes. His papers have appeared in Operations Research, Management Science, Journal of Computational and Applied Mathematics, Computers & Operations Research, Business Process Management Journal, Operations Research Letters, International Transactions in Operational Research, Interfaces, Información Tecnológica, and Journal of Economics, Finance and Administrative Science, among others. He is a member of the Editorial Board of the International Journal of Data Science, and the Journal of Economics, Finance and Administrative Science.

He has been recognized as an “Edelman Laureate” for participating and postulating the project “Indeval Develops a New Operating and Settlement Using Operations Research” that was awarded the 2010 Franz Edelman Award from INFORMS, for an outstanding world-class application of Operations Research techniques. He has also received the 1997 Meritorius Service Award from Operations Research, the 2006-2007 Outstanding Member Award from the Mexico chapter of the IISE, and the 2015 Meritorious Academic Recognition from the National Association of Engineering Schools and Departments from Mexico.