Estructura del programa

Adrián Soto

Adrián Soto Suárez is a Software Engineer and a PhD in Computer Science from Universidad Católica in Chile. He is a faculty member at Universidad Adolfo Ibáñez since 2020.

His research interests include semantic web, data management, DBMS implementation and algorithms for efficient query processing. He has also been involved in both, academic and practical projects, that make use of graph analytics techniques and graph databases.

Luis Aburto

Research topics:Marketing analytics, predictive and prescriptive analytics, pricing optimization, forecasting and inventory replenishment, recommendation systems, process mining

Javier Lopatin

Sus áreas de investigación son la ecología del paisaje y la ecología de ecosistemas, utilizando datos obtenidos por teledetección de satélite y drones, mediante algoritmos de machine y deep learning.

Leopoldo Bertossi

Leopoldo Bertossi is a Full Professor at the Faculty of Engineering and Sciences, "Universidad Adolfo Ibáñez" (UAI, Santiago, Chile), where he is the Director of the Graduate Programs in Data Science. He is also a Senior Fellow of the UAI.

His is an Emeritus Professor of the School of Computer Science, Carleton University (Ottawa, Canada), a Senior Researcher at the "Millennium Institute on Foundations of Data" (IMFD, Chile), and a member of the Academic Network of RelationalAI Inc. He has been the President of the "Chilean Computer Science Society" (SCCC).

He has PhD in Mathematics by the "Pontificia Universidad Catolica de Chile" (PUC). His broad research interests are related to Data Science and Artificial Intelligence. His research has been concentrated on the areas of explainable AI, knowledge representation, data management, computational logic, ontologies, uncertainty management and reasoning, causality, and machine learning.

Susana Eyheramendy

Susana Eyhereamendy is Full Professor at the Faculty of Engineering and Sciences at the Adolfo Ibáñez University, she is Doctor of Statistics at Rutgers University, United States, 2004. She is an associate member of the Millennium Institute of Astrophysics (MAS) in charge of the astro-statistical group. Her research is based on the modeling, analysis and interpretation of large databases, especially in the areas of astronomy and genetics.

In this last field, his emphasis is on trying to understand the genetic basis of common diseases, using novel statistical methods. Recently, he has also paid special attention to the study of the population genetics of Chileans. He is currently studying the genetic basis of growth development and BMI in the children of the GOCS cohort. In the area of astro-statistics, she has worked, using machine learning techniques, on the classification of variable stars as well as other astronomical objects.

Susana is a member of the scientific committee of Alerce (web: alerce.science). The ALeRCE broker is a Chilean-led broker which is processing the alert stream from the Zwicky Transient Facility (ZTF) and which aims to become a Community Broker for the Vera C. Rubin Observatory and its Legacy Survey of Space and Time (LSST), as well as other large etendue survey telescopes. We are using Cloud Infrastructure and Machine Learning models to bring real-time processed products and services to the astronomical community. Part of Susana's research in this area is dedicated to the development of models for irregularly observed time series, to be implemented in ALerce.

John Atkinson

John is currently a full professor at the Faculty of Engineering and Sciences, Universidad Adolfo Ibañez (UAI), Santiago, Chile, Director of the Diploma in Artificial Intelligence (AI) and Master in AI, and researcher at the UAI Smart Center. Previously, He was a full professor and head of the Department of Computer Sciences, at the Universidad de Concepción, Concepción, Chile, where he was also the founder and director of the Artificial Intelligence Laboratory (2004-2016). He was also an assistant professor at the Universidad Técnica Federico Santa Maria (UTFSM, Valparaiso, Chile), and a Lecturer at the Pontificia Universidad Católica de Valparaiso. He received a PhD in Artificial Intelligence from the University of Edinburgh, Scotland (UK), and a B.Eng and M.Eng degrees in Computer Sciences from UTFSM, Chile. Furthermore, he has been a visiting researcher at University of Cambridge (UK), MIT (Boston, USA), INRIA-Loria (Nancy, France), University of Western Ontario (London, Canada), University of Edinburgh (Edinburgh, UK), and IBM T.J Watson Research Center (Yorktown Heights, NY, USA). Over the last 25 years, John has been involved in teaching, research and consulting in Chile and universities and research centers worldwide.

In 2010, John received the ACM Senior Member Award for international contributions to computer sciences in the scientific and practical side.

John is actively involved in basic and applied research in the areas of Natural-Language Processing, Text Mining and Text Analytics, Machine Learning, and Artificial Intelligence. Some of his research has currently being applied to address complex problems in private companies including intelligent text analysis and mining, predictive models for fraud detection, opinion mining, intelligent interfaces, and question-answering systems. In addition, he is an AI consultant for several national and international private companies.

Rolando de la Cruz

He is currently an Associate Professor of Statistics and Data Science at the Faculty of Engineering and Sciences of the Universidad Adolfo Ibáñez. He received a Ph.D. in Statistics from Universidad Católica de Chile in 2005.

His research interests include Bayesian Learning; Biostatistics; Data Science and Statistical Learning; Joint Modeling; Functional and Longitudinal Data Analysis; Parametric and Nonparametric Bayesian Statistics; Spatial Statistics; Statistical Computing.

He is the director of our Executive Master in Data Science.

Raimundo Sánchez

Endurance Sports Scientist, Doctor in Complex Systems Engineering. Interested in applications of wearable devices for studying physical activity.

Endurance Athlete, has completed several marathons and ultra marathons.

Miguel Romero

Miguel Romero received his M.Sc. in Computer Science and Mathematical Engineering degree (2012) from Universidad de Chile. He then completed his Ph.D. in Computer Science (2016) also at Universidad de Chile. Since 2020, he is an assistant professor at the Faculty of Engineering and Sciences, Universidad Adolfo Ibáñez (UAI), Santiago, Chile.

Before joining UAI, he was a research fellow at the Simons Institute for the Theory of Computing in UC Berkeley and a postdoctoral researcher at the Department of Computer Science of University of Oxford.

His research interests include algorithms and complexity, computational logic, data management and Web data.

Gonzalo Ruz

Gonzalo A. Ruz received his B.Sc. (2002), P.E. and M.Sc. (2003) degrees in Electrical Engineering from Universidad de Chile, Santiago, Chile. He then completed his Ph.D. degree (2008) at Cardiff University, UK.

Currently, he is a Professor and Research Director at the Faculty of Engineering and Sciences, Universidad Adolfo Ibáñez, Santiago, Chile.

His research interests include machine learning, evolutionary computation, data mining, gene regulatory network modeling, and complex systems.

Tamara Fernández

From October 2020, She is an Assistant professor at the Faculty of Engineering and Science of Adolfo Ibañez University (Viña del Mar, Chile). Previously, She was a Postdoctoral research associate at the Gatsby Unit, working with Arthur Gretton. I joined the Gatsby Unit in 2018 as a Biometrika Postdoctoral Fellow.

In 2018, She obtained her DPhil in Statistics at the University of Oxford, under the supervision of Yee Whye Teh. Her work has been focused on extending modern machine learning techniques to classical statistical problems, in particular to Survival Analysis.

Sebastian Moreno

Sebastián Moreno received his master of Science and PhD in Computer Science from Purdue University in 2011 and 2014, respectively. Currently, Sebastián is a faculty member at Universidad Adolfo Ibáñez (2017), head of the Master of Science in Engineering (TI specialization, 2018), and the head of Computer Engineering (2020).

His research interests include data mining, machine learning, and relational learning. In particular, his main work focuses on statistical network analysis, developing computationally and statistically efficient algorithms for network analysis. Currently, he has more than 20 papers among the most important conferences in computer science and JCR journals. He has also participated as program committee in more than 30 conference including the most important conferences of his area such as NeurIPS, KDD, WWW, and ICDM.

Rodrigo Carrasco

I’ve been building, programming, and disassembling things since I can remember.

I’m an Associate Professor at Universidad Adolfo Ibáñez and the Academic Director of the Master in Industrial Engineering. Since 2021, I’m also a member of the Advisory Board of the Columbia Global Center | Santiago and a Board Member of the Chilean Institute of Operational Research. I hold a B.S. in Electrical & Industrial Engineering and an M.S. in Electrical Engineering from Pontificia Universidad Católica de Chile; and a Ph.D. in Industrial Engineering and Operations Research from Columbia University.

My research interests are in combinatorial problems, particularly scheduling problems, and the analysis and design of approximation algorithms. In addition, I’m currently interested in control and energy/power management applications and dealing with uncertainty in these settings. To do so, with our research team, we are combining techniques from combinatorial optimization with uncertainty modeling and stochastic optimization, developing robust decision support tools for applied problems.

At UAI, I founded and was the initial director of the UAI Systems Center; a center focused on solving complex real-life problems using operations research tools. I also led the Operations Research Seminar until 2018, developing its online channel. Before joining UAI, I was a researcher at Siemens Corporate Research in Princeton, NJ, developing decision support algorithms for smart grids and energy management. Before that, I worked at Booz Allen Hamilton, leading operations research projects in Chile, Argentina, Brazil, Peru, and Canada.

Moreno Bevilacqua

Moreno Bevilacqua received his PhD (2008) in Statistics from University of Padova, Italy. Currently, he is a Professor at the Faculty of Engineering and Sciences, Universidad Adolfo Ibáñez, Viña del Mar, Chile.

He worked as Full Professor a the Statistics Department of University of Valparaiso (Valparaiso, Chile) from 2012 to august 2020. He has carried out research as: a post-doc at the Statistics Department of University Ca'Foscari of Venice (Italy) from May 2008 to December 2010, a research fellow at the University of Bergamo (Italy) from January 2011 to July 2012.

Cristian Martinez-Villalobos

Cristian Martinez-Villalobos is a Ph.D. in Atmospheric and Oceanic Sciences, from the University of Wisconsin-Madison, United States; and Bachelor and Master in Physics from the Pontificia Universidad Católica de Chile.

His research interests include precipitation statistics, extreme precipitation under global warming, tropical dynamics, air-sea coupling, El Niño Southern Oscillation, Coastal El Niño events, inverse modeling, stochastic modeling in climate, data-driven modeling, non-linear processes in climate, tropical-extratropical interactions, heat waves and evaluation of global climate models.

He joined the Faculty of Engineering and Sciences of the Adolfo Ibáñez University in March 2021. Previously, he worked as a postdoctoral researcher at the Center for Advanced Studies in Arid Zones (La Serena, Chile); and in the Department of Atmospheric and Oceanic Sciences of the University of California, Los Angeles (United States).

Daniel Furtado Leite

Daniel Leite is a professor at the Faculty of Engineering and Science, Adolfo Ibáñez University, Santiago, Chile. For 9 years he was a professor at the Federal University of Lavras, UFLA, and Federal University of Minas Gerais, UFMG, Brazil.

He earned his Ph.D. (2012) from the State University of Campinas, UNICAMP, São Paulo; and was a postdoctoral fellow in the University of Ljubljana, Slovenia (2019), and UFMG, Brazil (2014).

He received the North American Fuzzy Information Processing Society NAFIPS Early Career Award (2017); and Ph.D. Thesis awards from the IEEE Computational Intelligence Society (2017), NAFIPS (2015), and Brazilian Computer Society (2014). He contributes as an Associate Editor of the Evolving Systems journal and of the Journal of Intelligent and Fuzzy Systems.

His interests are in:

• Granular computing (fuzzy and interval systems)
• Uncertainty, and decision theory
• Online machine learning (neural networks and ensembles)
• Time series and heterogeneous data streams
• Control of dynamic systems

Diego Muñoz

Diego Munoz trabaja en metodos numericos para astrofisica de fluidos y N-cuerpos, high performance computing y visualizacion de simulaciones y datos.