Prof. Maria Martirosyan, PhD
Professor of Strategic Foresight, American University of Armenia (Yerevan, Armenia). Topic: public trust trajectories for AI governance. Related brief: Yerevan Urban Resilience Brief 2026.
Alignment principle
Speaker cards are intentionally linked back to papers and notes listed in Papers, so the public-facing lineup and reading materials stay coherent.
Prof. James Zou
Professor of Biomedical Data Science, Stanford University (Stanford, USA). Topic: adaptive context methods for practical agents. Related paper: Agentic Context Engineering.
Prof. Kunle Olukotun
Professor of Electrical Engineering and Computer Science, Stanford University (Stanford, USA). Topic: scalable systems for long-context AI deployment. Related paper: Agentic Context Engineering.
Prof. Yann LeCun
Silver Professor of Computer Science, New York University and Chief AI Scientist, Meta (New York, USA). Topic: world models, autonomous machine intelligence, and long-range system design. Related paper: A Path Towards Autonomous Machine Intelligence.
Prof. Pranav Rajpurkar
Assistant Professor of Biomedical Informatics, Harvard Medical School (Boston, USA). Topic: clinically grounded evaluation for medical imaging systems. Related paper: CheXNet.
Dr. Leo Anthony Celi
Senior Research Scientist, Massachusetts Institute of Technology (Cambridge, USA). Topic: health data infrastructure, equity, and evaluation in critical care AI. Related paper: Understanding the Artificial Intelligence Clinician.
Dr. Matthieu Komorowski, MD, PhD
Clinical Senior Lecturer in Critical Care and AI, Imperial College London (London, United Kingdom). Topic: decision support in intensive care and safe human-AI collaboration. Related paper: Understanding the Artificial Intelligence Clinician.
Prof. Karsten Borgwardt
Professor of Data Science, ETH Zurich (Zurich, Switzerland). Topic: structure-aware protein models for biomedical discovery. Related paper: Endowing Protein Language Models with Structural Knowledge.
Dr. Jian Tang
Associate Professor, HEC Montreal and Mila Quebec AI Institute (Montreal, Canada). Topic: multimodal learning for proteins, molecules, and drug discovery. Related paper: Structure-Informed Protein Language Model.
Prof. Paolo Santi
Research Scientist, MIT Senseable City Lab (Cambridge, USA). Topic: shared mobility networks, congestion relief, and evidence-based transport operations. Related paper: Quantifying the benefits of vehicle pooling with shareability networks.
Prof. Marta C. Gonzalez
Professor of Civil and Environmental Engineering and of City & Regional Planning, University of California, Berkeley (Berkeley, USA). Topic: electric mobility systems, charging demand, and metropolitan planning. Related paper: Planning for Electric Vehicles Coupled with Urban Mobility.
Prof. Daron Acemoglu
Institute Professor of Economics, Massachusetts Institute of Technology (Cambridge, USA). Topic: task redesign, productivity, and institutional responses to automation. Related paper: Automation and New Tasks.
Prof. Carl Benedikt Frey
Professor of AI & Work, Oxford Internet Institute, University of Oxford (Oxford, United Kingdom). Topic: occupational exposure to automation and long-range workforce scenarios. Related paper: The future of employment.