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Gonzalo NavarroView profile

Professor

• Algorithms
• Data Structures
• Compressed Data Structures
• +3 more

Gonzalo Navarro is a Full Professor at the Department of Computer Science (DCC) , within the Faculty of Physical and Mathematical Sciences at the University of Chile . His academic roles include coordinating the PhD Program , serving as Research Coordinator , and being a member of the Department Council . Co-created the Pizza&Chili site for compressed text indexes Co-authored two books: Compact Data Structures and Flexible Pattern Matching in Strings Research Interests: He focuses on algorithm design , compressed data structures , text/graph databases , and information retrieval . His work bridges theoretical and practical efficiency in problems like approximate pattern matching, regular expression searching, and dynamic data structure optimization. Recent Publications Trends: His 2025-2024 works emphasize space-time optimal data structures , graph database joins , trajectory compression , and regular expression indexing , often combining algorithmic theory with real-world implementation benchmarks. Scientific Awards: 7 Best Paper Awards in conferences 4 Google Research Awards Highest Cited Paper Award (Elsevier) Scopus Chile Award ACM Fellow (2022) Advising: He has advised 8 postdocs, 22 PhD students, 17 MSc students, and 29 undergraduate theses. His Algorithmic Wednesdays Group fosters collaborative research in algorithms. Labs & Projects: He participates in the Milennium Institute for Foundational Research on Data (IMFD) and the Basal Center for Biotechnology and Bioengineering (CeBiB) , advancing compressed data structures for biological and web-scale applications.

Maya Jakobine SteinView profile

Professor

• Graph Theory
• Combinatorics
• Extremal Graph Theory
• +3 more

Maya Jakobine Stein is a Full Professor (Profesora Titular) at the Department of Mathematical Engineering and Deputy Director of the Center for Mathematical Modeling (CMM) at Universidad de Chile. She is also involved in leading international projects such as the STALGRAPH initiative, focusing on structural and algorithmic graph theory. Her research spans extremal graph theory, Ramsey theory, hypergraphs, and combinatorics. Her work includes significant contributions to the Loebl-Komlós-Sós conjecture and the Erdős-Sós conjecture, with a focus on tree embeddings, degree conditions, and structural properties of graphs. She has held editorial roles for journals like the Electronic Journal of Combinatorics and SIAM Journal on Discrete Mathematics. Additionally, she coordinates academic programs at the Department of Mathematical Engineering and has been actively involved in research grants, including leadership roles in ANID and EU Horizon 2020 projects. Her teaching spans advanced courses in graph theory, algebra, and combinatorics, and she advises numerous PhD and master’s students. Recent projects include launching the open-access journal Innovations in Graph Theory . Key collaborations involve Argentina, France, and Brazil through projects like MathAmSud and FAPESP-ANID. Her international service roles include Vice-Chair of the SIAM Activity Group in Discrete Mathematics and leadership in conferences like LATIN and Eurocomb.

Avelio SepúlvedaView profile

Assistant Professor

• Probability Theory
• Statistical Physics
• Random Geometry
• +5 more

Avelio Sepúlveda is an Assistant Professor in the Department of Mathematics at Universidad de Chile, where he has been affiliated since 2021. He previously held a Chair CMM–CNRS fellowship (2020–2021) and completed postdoctoral work at Université Lyon 1 (2017–2020). His education includes a PhD from ETH Zürich (supervised by Wendelin Werner), a Master's from Université d'Orsay, and an Engineering degree from Universidad de Chile. His research centers on probability theory and statistical physics , with emphases on Gaussian free fields, random planar maps, percolation theory, and topological phase transitions. Key investigations include the structure of 2D Gaussian free fields, scaling limits of decorated planar maps, and dynamic conditioning of Markov processes ( myopic conditioning ). His publications (2020–2025) predominantly explore probabilistic geometry, phase transitions, and field theory, with recurring themes in conformal invariance, scaling limits, and lattice models. Notable methodological contributions include novel algorithms for myopic processes and combinatorial characterizations of Markov properties in planar maps. Awards & Service: Chair CMM–CNRS of Excellence for Young Researchers (2020–2021) Associate Editor: Electronic Journal of Probability and Electronic Communications in Probability Advising & Collaborations: He mentors six PhD/Master's students (Pablo Araya, Paul Cahen, Damian Cid, Felipe Espinosa, Pablo Zúñiga, Tomás Laengle) and collaborates extensively with researchers globally, including Christophe Garban (ERC Vortex). He co-organizes the Seminario de Probabilidades de Chile and workshops (e.g., 2025 Topological Phase Transition workshop).

David Silva BernalesView profile

Assistant Professor

• Object Design
• Digital Design and Manufacturing
• Service Design
• +7 more

David Silva Bernales is an Assistant Professor and Master's Student at the School of Architecture and Design, Pontificia Universidad Católica de Valparaíso (PUCV) in Valparaíso, Chile. Born on July 5, 1999, he began his academic journey at PUCV in 2018 and has developed a specialized focus in Object Design. His research interests span multiple design domains including Object Design, Digital Design and Manufacturing, Service Design, Interaction Design, and Design Epistemology. His work demonstrates particular strength in inclusive design applications, cultural design projects, and the integration of digital fabrication techniques in educational settings. His projects often explore the intersection of traditional design practices with contemporary digital methodologies. Analysis of his recent scholarly outputs reveals a strong trend toward human-centered design applications, particularly in inclusive design, dementia-friendly interfaces, and cultural design projects focused on regional Chilean contexts. His work frequently employs participatory design methods and emphasizes the social dimensions of design practice. As an educator, Silva Bernales has taught across multiple design domains including Digital Design and Manufacturing, Epistemology in Architecture and Design, and various specialized workshops. His teaching approach emphasizes experimentation, conviviality, and the integration of digital tools as learning and connecting mechanisms for students. His design practice extends to environmental contexts through projects related to the La Campana Peñuelas Biosphere Reserve, cultural explorations like the Quatu Islands project, and numerous design interventions focused on everyday habits and living practices.

Arturo Chicano JiménezView profile

Associate Professor

• Industrial Design
• Design Epistemology
• Sustainable Design
• +5 more

Arturo Chicano Jiménez is an Associate Professor and Industrial Designer at the School of Architecture and Design, Pontificia Universidad Católica de Valparaíso (PUCV), Chile. He holds a PhD from PUC Rio de Janeiro and serves as Director of the Master's Degree in Architecture and Design program. With a career spanning over three decades since his academic degree in 1966, Professor Chicano has established himself as a prominent figure in design education and research in Latin America. PhD, Pontifical Catholic University of Rio de Janeiro (PUC Rio) Professor Chicano's research focuses on the philosophical and epistemological foundations of design, with particular emphasis on techné (craft knowledge), the relationship between objects and society, and sustainable design practices. His work explores how design can serve as a vehicle for social innovation and cultural expression, particularly through South-South perspectives that challenge dominant Western design paradigms. He investigates the temporal dimensions of design through projects examining time perception, memory, and cyclical phenomena, while maintaining strong connections to practical design applications in sustainable packaging, interaction design, and architectural interventions. His recent publications reveal a consistent trajectory exploring the philosophical underpinnings of design practice, with increasing focus on social innovation and Latin American perspectives. The 2022-2023 works on "Techné and World" demonstrate his continued engagement with Heideggerian philosophy applied to contemporary design challenges, while "From South to South" represents his contribution to decolonial design discourse. His research shows a progression from object-focused studies to broader sociocultural examinations of design's role in society, particularly evident in his 2018-2023 publications that connect design theory with social innovation in Latin American contexts. Professor Chicano has supervised numerous undergraduate and graduate students through thesis projects focusing on sustainable packaging, interactive objects, public space design, and social innovation. His teaching spans foundational design courses, epistemology seminars, and specialized workshops on kinetic algorithms and expressive machines. He has directed the Master's Degree program while maintaining an active research agenda focused on design's role in social and technological innovation in Latin America, as evidenced by his 2018-2023 research project "Actions for social and/or technological innovation in Latin America." With over 30 "Travesías" (educational journeys) completed between 1990 and 2024, Professor Chicano has developed an extensive experiential pedagogy that connects classroom learning with real-world contexts across Latin America. These journeys serve as catalysts for developing collective competencies among students and have informed his research on design education methodologies, particularly his 2009-2010 project "The Journey as a Training Action Triggering the Development of Collective Competencies."

Andrés I. ÁvilaView profile

Associate Professor

• Partial Differential Equations
• Numerical methods for PDEs
• High Performance Computing
• +1 more

Andrés I. Ávila is an Associate Professor in the Department of Mathematical Engineering at the University of La Frontera, Chile. He holds a Ph.D. in Mathematics (1999) and a postdoctoral fellowship (1999) from the University of Missouri. His research focuses on Partial Differential Equations , Numerical Methods for PDEs , High Performance Computing , and Mathematical Modeling . Education Ph.D. in Mathematics (1999), University of Missouri Postdoctoral Fellow (1999–2000), Universidade Estadual de Campinas His work spans nonlinear PDEs (e.g., Schrödinger systems, combustion theory), high-performance computing (Xeon Phi coprocessors, agent-based models), and environmental modeling (floods, wildfires, crop optimization). Articles highlight interdisciplinary applications in physics, biology, and engineering. He has supervised 8 Master’s and 2 Ph.D. students, advised national projects (e.g., Corfo Innovation , Fondef grants), and co-led the National Laboratory for High-Performance Computing (EMC-02) . Collaborations include institutions in Germany, Brazil, and France.

Jose A. SotoView profile

Associate Professor

• Combinatorics
• Algorithms
• Combinatorial Optimization

Jose A. Soto is an Associate Professor and Academic Chair of the Mathematical Engineering Department at the University of Chile. He is also an associated researcher at the Center for Mathematical Modeling. His research focuses on Combinatorics, Algorithms, and Combinatorial Optimization. Previously, he was a postdoc at TU-Berlin's Combinatorial Optimization & Graph Algorithms Group. He holds a PhD in Mathematics from MIT (2011) and an undergraduate degree in Mathematical Engineering from the University of Chile (2006). He has led multiple grants, including Fondecyt Project 1181180 on approximation algorithms and Fondef IDeA ID18I10250 for VRP optimization. He has collaborated internationally, including with the Max Planck Institute on fast approximation algorithms for massive datasets. His research spans topics like prophet inequalities, matroid secretary problems, and geometric optimization, with notable contributions in Mathematics of Operations Research, Journal of Machine Learning Research, and Algorithmica. He has advised numerous students and postdocs, including Krzysztof Fleszar and Kevin Schewior during the MPII-UChile collaboration. Teaching includes courses on Approximation Algorithms, Combinatorial Optimization, and Calculability/Computational Complexity. He has organized conferences like IPCO 2013 and participated in program committees for WADS 2021 and LATIN 2018.

Pedro Pablo Pinacho-DavidsonView profile

Assistant Professor

• Machine Learning
• Artificial Intelligence
• Artificial Life
• +1 more

Pedro Pablo Pinacho-Davidson is an Assistant Professor at the Department of Computer Science and Engineering, University of Concepción, Chile. He also serves as an Associate Researcher at the Center for Manufacturing 4.0 and leads Ornitorrinco Labs. PhD in Computer Engineering from University of the Basque Country, Spain Key research areas: machine learning, artificial intelligence, metaheuristics, and artificial life His work focuses on combinatorial optimization and applied algorithm design, with recognition including the prestigious SEIO Prize and Fondecyt Grant. He contributes to Chilean cybersecurity policy development as a member of the Senate’s Cybersecurity Table. Scientific Awards SEIO Prize for industrial algorithm solutions Fondecyt Grant for hybrid metaheuristics research

Anahi GajardoView profile

Associate Professor

• Discrete Dynamical Systems
• Cellular Automata
• Langton's Ant
• +9 more

Anahí Gajardo is an Associate Professor in the Department of Mathematical Engineering at the University of Concepción, Chile. She has been a faculty member since 2002 and is actively involved in research and teaching in discrete mathematics and theoretical computer science. University: University of Concepción School: Faculty of Engineering Department: Department of Mathematical Engineering Position: Associate Professor Research Interests: Anahí Gajardo's research focuses on discrete dynamical systems, cellular automata, Langton's Ant, computability, symbolic dynamics, and one-head machines. Her work explores the computational universality of simple systems and the complexity of their dynamics. She has made significant contributions to understanding the behavior of Langton’s ant on various graph structures, including bi-regular and finite graphs. Publication Trends: Her recent publications emphasize the undecidability and complexity of systems related to Turing machines and cellular automata. She frequently investigates time-symmetry, reversibility, and number-conservation in cellular automata, often using symbolic dynamics as a framework. Her work bridges theoretical computer science with mathematical modeling and discrete systems. Scientific Awards: No specific awards mentioned in the provided text. Advising and Grants: She has advised several students, including Paul Dorbec, Marco Montalva, Rodrigo Torres, and Diego Maldonado. Her research has been supported by multiple FONDECYT grants (e.g., #1030706, #1061036, #1090568, #1140684) and an ECOS-CONICYT grant (#C12E05), focusing on the dynamics of Turing machines, cellular automata, and number-conserving systems. Laboratories and Teams: She has collaborated with the Center for Mathematical Modeling at the University of Chile and the MC2 team at the Parallel Computing Laboratory (LIP) at École Normale Supérieure de Lyon, France. Her work is often interdisciplinary, involving collaborations across mathematics, computer science, and theoretical physics.

Pablo MarshallView profile

Professor

• Marketing
• Statistics
• Higher Education Research & Development
• +7 more

Pablo Marshall is a Marketing Professor and Director of the UC Inicia Baccalaureate Program at the Catholic University of Chile's School of Management. He holds a Ph.D. in Statistics and M.Sc. degrees in Economics and Statistics from the London School of Economics. Education: Ph.D. Statistics (London School of Economics), M.Sc. Economics (University of Chile), M.Sc. Statistics (London School of Economics) Roles: Director of UC Inicia Baccalaureate Program, Full Professor of Marketing His research spans Marketing, Statistics, and Public Health, focusing on demand forecasting, customer value management, and statistical validation methodologies. He has contributed to market research, epidemiologic methods, and safety science journals. Key trends in his publications include statistical modeling for brand awareness, pandemic policy analysis, and data-driven safety frameworks. His work also explores consumer behavior in low-involvement markets and socioeconomic disparities at the bottom of the pyramid. As a business consultant, he specializes in Marketing Models, Data Mining, and Customer Value Management. His contact details include the email pmarshall@uc.cl and a direct phone line.

• Artificial Intelligence
• Data Mining
• Natural Language Processing
• +4 more

Andrés Jonathan Abeliuk Kimelman is an Assistant Professor at the University of Chile's Faculty of Physical Sciences and Mathematics , affiliated with the Department of Computer Science . He holds a PhD in Computer Science (University of Melbourne, 2017) and a Civil Engineering degree in Computing (University of Chile, 2012). Research Focus : AI ethics, network analysis, natural language processing, and machine learning applications in social systems. Teaching : Leads undergraduate and postgraduate courses in Discrete Mathematics, Data Mining, and Computational Theory. Students : Advises multiple thesis and research projects, including works on AI-assisted urban planning, misinformation analysis, and algorithmic bias. Collaborations : Participates in the National Center for Artificial Intelligence (CENIA) as a co-investigator (2022-2027). Key Publications explore polarization detection, networked public spheres, and computational models for social systems. Current projects include unsupervised topic quantification and extreme multi-label classification in multilingual contexts.

• STEM Education
• Educational Technology
• Machine Learning in Education
• +3 more

Roberto Araya Schulz is a Full Professor at the University of Chile's Institute of Advanced Studies in Education, with a 44-hour working week. He holds a PhD from the University of California (1986) and an MSc from University of Chile (1979). Specializes in STEM education and educational technology Primary research areas: Machine learning in education, cognitive development, gamification His recent publications focus on: Integrating digital platforms in primary education Embodied cognition through hand puppets in math classes Large language models for spatial reasoning development Teacher discourse analysis using neural networks Key research grants include: FONDECYT Postdoctorate (2024-2027) on educational technology integration FONDECYT Exploration Projects (2024-2028) for dialogical teaching strategies IDRC funding (2017-2019) for digital tools in education