Arequipa, Perú
October 2026
Conference starts in
SIMBig is one of the first conferences in Latin America grouping areas such as Artificial Intelligence, Machine Learning, Deep Learning, Healthcare Informatics, Natural Language Processing, Semantic Web, Software Engineering, among others.
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Harvard University, USA — PhD.
Dr. Hugo Aerts is a Professor at Harvard University and the Director of the Artificial Intelligence in Medicine (AIM) Program. AIM's mission is to accelerate the application of AI algorithms in medical sciences and clinical practice. Dr. Aerts is a leader in medical AI and Principal Investigator on major NIH-supported efforts. In 2020 he was awarded a prestigious ERC Consolidator grant. In 2022 he was named among the top 1% highest cited scientists worldwide by Web of Science. Dr. Aerts earned his Master in Engineering from Eindhoven Institute of Technology, his PhD from Maastricht University, and his postdoctoral fellowship from Harvard School of Public Health.
Stanford University, USA — PhD.
Dr. Dan Jurafsky is Professor of Linguistics and Computer Science at Stanford University. He is a MacArthur Fellow, recipient of the Richard C. Atkinson Prize from the National Academy of Sciences, and a Fellow of the Association for Computational Linguistics. His research focuses on language models and NLP tools, including their applications to cognitive and social sciences. His books include the widely-used textbook "Speech and Language Processing" and the 2015 international bestseller "The Language of Food". Dan received his PhD from UC Berkeley.
NAVER LABS Europe, France — PhD.
Dr. Gabriela Csurka is a Principal Scientist at NAVER LABS Europe, with over three decades of experience in computer vision, machine learning and physical AI. Her research covers visual recognition, semantic segmentation, domain adaptation, image and 3D scene reconstruction, and multimodal fusion. Her current interests focus on 2D and 3D foundation models and multimodal LLMs. She has authored over 100 publications and is best known for the Bag-of-Visual-Words (BoV) framework, which transformed image categorization until the advent of deep learning.
Carnegie Mellon University, USA — PhD.
Dr. Tom M. Mitchell is the Founders University Professor at Carnegie Mellon University, where he founded the world's first Machine Learning Department and authored the widely used textbook "Machine Learning." His research spans machine learning, AI, cognitive neuroscience, and the impact of AI on society. He used ML to create the first computational model predicting fMRI brain activation patterns and produced a never-ending learning system reading the web for over eight years. He co-chaired a National Academies study on AI's impact on jobs. He is a Fellow of the AAAI and AAAS, and a member of the U.S. National Academy of Engineering.
Microsoft Research, USA — PhD.
Dr. Hoifung Poon is the General Manager of Real-World Evidence at Microsoft Research and an affiliated faculty at the University of Washington Medical School. He leads biomedical AI research with the goal of structuring medical data to accelerate precision health. His team pioneered LLMs and multimodal generative AI in health, producing models such as PubMedBERT, BioGPT, BiomedCLIP, LLaVA-Med and BiomedParse, with tens of millions of downloads. His publications in Nature and Cell feature foundation models GigaPath and GigaTIME. He was named "Technology Champion" by the Puget Sound Business Journal in 2024 and holds a PhD from the University of Washington in machine learning and NLP.
Amazon Science, USA — PhD.
Dr. Omar Alonso is a part-time lecturer at the Khoury College of Computer Sciences at Northeastern University. He earned his doctorate in computer science from the University of California, Davis. His main research areas include information retrieval, search quality evaluation, and knowledge graphs. He teaches the course CS 6200: Information Retrieval. Another area of research for Alonso is label quality and the practice of designing and implementing hybrid human-machine systems, topics that he covered in his book, “The Practice of Crowdsourcing.”
Papers submission deadline
Notification of acceptance
Camera-ready versions
Conference held in Arequipa, Perú
All accepted papers from the SIMBig 2026 conference and its special tracks will be published in the Springer Communications in Computer and Information Science - CCIS Book Series .
Pascal Poncelet
University of Montpellier, France
Diana Impken
University of Ottawa, Canada
Lise Getoor
University of California, USA
Jian Pei
Simon Fraser University, Canada
