Alexi Rodriguez-Arelis, Postdoctoral Research and Teaching Fellow, MDS Vancouver
"One of the MDS program's most outstanding strengths is its background diversity within the teaching team and student cohorts. Furthermore, the program has the perfect balance of Machine Learning and Statistics courses which are complimentary. We strive to provide students with the right theoretical and practical foundations to approach real-life and crucial data-related inquiries."
Alexi Rodríguez-Arelis completed his PhD in Statistics at the University of British Columbia in 2020. Born and raised in Mexico, he pursued an undergraduate degree in Industrial Engineering and a master's degree in Applied Statistics at Tecnológico de Monterrey. His machine learning research focuses on computer experiments that emulate scientific and engineering systems via Gaussian stochastic processes. Moreover, he has professional experience in the financial sector along with statistical consulting. Throughout his PhD program, Alexi developed an enthusiasm for teaching Statistics in a Data Science context. He is particularly passionate about projects involving the use of Data Science for social good. Alexi commenced his current role at MDS in January 2021.
Learn more about Alexi.