Keynote Speakers

He is an Associate Professor at the College of Information Science at the University of Arizona, with courtesy appointments in Linguistics, Cognitive Science, Computer Science, and Applied Mathematics. He previously worked as an Assistant Professor in Computer and Information Science at the University of Alabama at Birmingham and as a postdoctoral researcher at Stanford University’s Natural Language Processing group, Johns Hopkins University’s Human Language Technology Center of Excellence, KULeuven’s Language Intelligence and Information Retrieval group in Belgium, and the University of Colorado’s Center for Language and Education Research. He earned his Ph.D. in Computer Science and Cognitive Science from the University of Colorado Boulder. His research interests include natural language processing and machine learning theory and applications, including modeling the language of time and timelines, normalizing text to medical and geospatial ontologies, and information extraction models for clinical applications. There is a large community at the University of Arizona pursuing similar natural language processing research. Visit them at: http://nlp.arizona.edu/

Researcher in the Department of Computer Science at CIMAT, where he has worked since 1997. Adjunct Researcher at CICESE since the summer of 2022. Doctor of Science from the Optical Research Center AC (CIO) in September 1997. Member of the Mexican Mathematical Society and Invited Member of the Mexican Academy of Computing. He has held academic stays in the Department of Radiology at the University of Pennsylvania (Postdoctoral Researcher, 2001-2002), in the Department of Mathematics at Florida State University (Visiting Professor, Department of Mathematics, 2008-2009), and at the National Supercomputing Center of the Potosino Institute of Scientific and Technological Research (Academic Coordinator, 2017-2018). His research focuses on the following areas: image processing and vision, numerical optimization, and machine learning, with applications in optical metrology, remote sensing data analysis, and medical image analysis. He has published more than 50 articles in indexed journals, including Optics Letters, OLEN, IEEE-PAMI, IEEE-Transactions on Image Processing, and IEEE-Transactions on Medical Imaging and Medical Image Analysis, to name a few. He has a similar number of papers in well-known international conferences. He is a member of the steering committee of the Pacific Rim Symposium on Image and Video Technology (PSIVT) and the program committees of prestigious conferences. He has led more than 10 national and international research and technological development projects.

Daniel is an Assistant Professor in Biostatistics at the University of Wisconsin-Madison, where he has a joint appointment with the Wisconsin Institute for Discovery. His research interests include machine learning, signal processing, optimization, statistics, algebraic geometry, and everything data science. Previously, Daniel was an Assistant Professor in Computer Science at Georgia State University. Before GSU, Daniel was a postdoc at the Wisconsin Institute for Discovery working with professors Robert Nowak, Nigel Boston, Stephen Wright and Rebecca Willett. Daniel did his PhD in Electrical and Computer Engineering at UW-Madison with professor Robert Nowak. He obtained Master's degrees in Mathematics and in Electrical and Computer Engineering, both at UW-Madison. Daniel is originally from Mexico City, where he obtained undergraduate degrees in Telematics Engineering and in Computer Engineering, both at ITAM.