Keynote Speakers
Diana Inkpen
University of Ottawa, Canada
Professor at the University of Ottawa, School of Electrical Engineering and Computer Science. Her research focuses on Computational Linguistics and Text Mining applications. She has organized seven international workshops and served as program co-chair for the AI 2012 conference.
Aline Villavicencio
University of Exeter, UK
Director of the Institute of Data Science and Artificial Intelligence at University of Exeter, affiliated with the Department of Computer Science at University of Sheffield (UK), and Fellow at the Alan Turing Institute.
Ravi Kumar
Google Research scientist, USA
Senior staff research scientist at Google since 2012. Prior to this, he was a research staff member at the IBM Almaden Research Center and a principal research scientist at Yahoo! Research.
Hiran Calvo
National Polytechnic Institute, Mexico
Founder of the Computational Cognitive Science Laboratory, which he currently leads at the Center for Computing Research of the National Polytechnic Institute, Mexico. He is a member of the Mexican National System of Researchers (Level II), IEEE, the Mexican Academy of Sciences, and serves as president of the Mexican Association for Natural Language Processing.
Soledad Villar
Johns Hopkins University, USA
Soledad Villar is a professor of applied mathematics and statistics at Johns Hopkins University in the United States. Originally from Uruguay, Soledad studied mathematics at the University of the Republic and computer engineering at the Catholic University of Uruguay. She received her PhD in mathematics from the University of Texas at Austin and did postdoctoral studies at the University of California at Berkeley and New York University. She was also a visiting professor at Apple Research in Paris and at the Flatiron Institute of the Simons Foundation in New York.
Mihaela van der Schaar
University of Cambridge, UK
Mihaela van der Schaar is the John Humphrey Plummer Professor of Machine Learning, Artificial Intelligence and Medicine at the University of Cambridge. In addition to leading the van der Schaar Lab, Mihaela is founder and director of the Cambridge Centre for AI in Medicine (CCAIM). Mihaela was elected IEEE Fellow in 2009 and Fellow of the Royal Society in 2024. She has received numerous awards, including the Johann Anton Merck Award (2024), the Oon Prize on Preventative Medicine from the University of Cambridge (2018), a National Science Foundation CAREER Award (2004), 3 IBM Faculty Awards, the IBM Exploratory Stream Analytics Innovation Award, the Philips Make a Difference Award and several best paper awards, including the IEEE Darlington Award. She was a Turing Fellow at The Alan Turing Institute in London between 2016 and 2024. In 2025, she was appointed as Spinoza Guest Professor at Amsterdam University Medical Center.
Ricardo Baeza-Yates
Universitat Pompeu Fabra, Spain
Ricardo Baeza-Yates is currently Director of Research (part-time) at the Institute for Experiential AI of Northeastern University, Silicon Valley campus, since January 2021. He is also a member of the DATA Lab at the Khoury College of Computer Sciences. The rest of the time he does consulting for tech startups, companies and non-profit international institutions, particularly in responsible AI. He is actively involved as expert in many initiatives, committees or advisory boards related to Responsible AI all around the world: Global AI Ethics Consortium, Global Partnership on AI, IADB's fAIr LAC Initiative (Latin America and the Caribbean), and ACM's US Technology Policy Committee. He is also a co-founder of OptIA in Chile, a NGO devoted to algorithmic transparency and inclusion, and member of the editorial committee of the new AI and Ethics Journal where he co-authored an article highlighting the importance of research freedom on AI ethics. Between 2019 and 2023 he was a member of Spain's Council of AI.
Vanessa Aguiar-Pulido
University of Miami, USA
CDr. Vanessa Aguiar-Pulido is passionate about problem solving in biomedical research, with a focus on developing tools and algorithms that will impact diagnosis and therapeutics of rare and complex genetic disorders. Her background and interests include big data analytics, machine learning, artificial intelligence, bioinformatics, neuroscience, data mining, ontologies, biomedical data integration, health informatics, epigenetics and omics in general. Her lab is at the interface of Computer Science and Biomedical Sciences, and her research focuses on understanding the underlying genetic causes of monogenic and complex disorders, how these causes can be influenced by environmental factors, and how these findings can be applied to clinical practice.
Vanessa Frias-Martinez
University of Maryland, USA
Dr. Vanessa Frias-Martinez is an Associate Professor in the UMD College of Information and UMIACS and an affiliate associate professor in the Department of Computer Science. She also leads the Urban Computing Lab.
Maria De Arteaga Gonzalez
The University of Texas at Austin, USA
Maria De-Arteaga is an assistant professor at The University of Texas at Austin’s McCombs School of Business. She is also a core faculty member of the Machine Learning Laboratory and a Good Systems researcher.
