Jan Strappa Figueroa

Jan Strappa Figueroa

Jan Strappa graduated as an Information Systems Engineer from UTN, Facultad Regional Mendoza. They joined DHARMa lab in 2013, while still an undergraduate during their last year of study, with a FONCyT scholarship; and later as a research assistant with a BINID scholarship, taking part in research on algorithms for learning context-specific probabilistic graphical models. They are currently pursuing a Ph.D. with a CONICET Doctoral Fellowship since April 2015. From 2017 to present, they have been enrolled in the doctoral program Doctorado en Ciencias de la Computación of Universidad Nacional de San Luis. Their research interests include statistics, graphical models, search and optimization, metaheuristics, and evolutionary computation.

During 2017, in parallel to their dedication to research for their thesis, they have collaborated on three works. One of them, titled “Blankets Joint Posterior Score for Learning Markov Network Structures”, co-authored with Dr. Schlüter, Dr. Bromberg, and Dr. Diego Milone, has been accepted and published by the International Journal of Approximate Reasoning. Another journal article, “Capturing Contextual Independencies by Growing and Shrinking Multiple Undirected Graphs”, co-authored with Dr. Edera and Dr. Bromberg, is currently under revision. Lastly, they are preparing a manuscript with Facundo Bromberg for an international journal. Since 2018 they are an organizer of the R-Ladies chapter in Mendoza, founded by Ana Laura Diedrichs.

Graduate courses attended (courses’ names are an approximate translation from Spanish):

“Population- and Trajectory-Based Metaheuristics”, 60 hours, by Dr. Guillermo Leguizamón at Universidad Nacional de San Luis, December 2015.
“Research Methodology Applied to Project Development”, 45 hours, by Dr. Juan Carlos Michalús at Universidad Nacional de San Juan, June 2017.
“Principles and Fundamentals of High-Performance Computing”, 45 hours, by Dra. Fabiana Piccoli at Universidad Nacional de San Juan, June 2017.
“Introduction to Data Science”, 60 hours, by Dr. Osvaldo Martin at Universidad Nacional de San Luis, April 2018.
“Bayesian Data Analysis”, 60 hours, by Dr. Osvaldo Martin at Universidad Nacional de San Luis, September 2018.
“Data Mining”, 60 hours, by Dr. Marcelo Errecalde at Universidad Nacional de San Luis, November 2018.
"Razonamiento Aproximado y Lógica Difusa en Inteligencia Computacional", 70 hours, by Dr. José Ángel Olivas at Universidad Nacional de La Plata - Facultad de Informática. March 2019.
"Fundamentos de Computación Gráfica, Imágenes y Visión", 70 hours, by MSc. Oscar Bria at Universidad Nacional de La Plata - Facultad de Informática. March 2019.