David G. Stork, PhD is Adjunct Professor at Stanford University and a graduate in Physics from MIT and the University of Maryland;  he also studied Art History at Wellesley College.  He has held faculty positions in Physics, Mathematics, Computer Science, Statistics, Electrical Engineering, Neuroscience, Psychology, Computational Mathematical Engineering, Symbolic Systems, and Art and Art History variously at Wellesley and Swarthmore Colleges, Clark, Boston, and Stanford Universities, and the Technical University of Vienna.  He is a Fellow of seven international societies and has published nine books, 220+ scholarly articles, and 64 US patents. He is widely considered the founding pioneer in the application of computer vision, machine learning, and artificial intelligence to problems in the history and interpretation of fine art paintings and drawings: He published some of the earliest scholarly works in the field, he co-founded the world's first conference (now called Computer Vision and Analysis of Art), he taught the world's first courses (in EE, CS, and Art History at Stanford), and his 785-page Pixels & paintings:  Foundations of computer-assisted connoisseurship (2024, Wiley) is the first book on methods for computer analysis of paintings. 

Peter Bell studied Art History, Business Administration, Graphics & Painting at University of Marburg (PhD 2011). He worked as a research fellow at the SFB 600 at University of Trier. He was a postdoctoral researcher in the Computer Vision Group at University of Heidelberg in the Ommer lab and group leader at the Heidelberg Academy of Sciences and Humanities. Between 2017 to 2021 he was an assistant professor for Digital Humanities at FAU Erlangen-Nuremberg and returned to Marburg as a full professor for Art History and Digital Humanities. Peter Bell was a group leader of the DFG project "Image Synthesis as an Epistemic Method Towards Understanding Art” with Björn Ommer. He is is a spokesperson of the working group digital art history and co-organizer of the ECCV workshop VISART since 2018. His research focuses are digital art history (computer vision, ai-art) and social art history.

Haoqi Fan is a Research Scientist at ByteDance Seed, where he leads efforts to build world foundational models. He spent seven years at Facebook AI Research (FAIR), focusing on self-supervised learning and backbone design for image and video understanding. His works won the ActivityNet Challenge at ICCV 2019 and were nominated for Best Paper at CVPR 2020. He has also co-organized several tutorials at CVPR, ICCV, and ECCV. His research has led to influential works on multimodal pretraining, vision transformers, and contrastive learning (such as Momentum contrast for unsupervised visual representation learning). Most recently, in May 2025, he released BAGEL, a unified multimodal framework that quickly became the #1 trending model on Hugging Face.

Yael Vinker is a postdoctoral associate at MIT CSAIL, working with Prof. Antonio Torralba. She completed her PhD at Tel Aviv University, where she worked with Prof. Daniel Cohen-Or and Prof. Ariel Shamir. Her research focuses on generative models for visual communication, drawing inspiration from design, art, and cognitive science. Yael’s work has been recognized with two SIGGRAPH Best Paper Awards and an Honorable Mention Award for her works CLIPasso, Inspiration-Tree, and Word-as-Image. Additional honors include the MIT EECS Rising Stars award, the Blavatnik Prize, and a nomination for the Fulbright Postdoctoral Fellowship.

Judy Fan is an Assistant Professor of Psychology and, by courtesy, Education and Computer Science, at Stanford University. She directs the Cognitive Tools Lab, which aims to reverse engineer the human cognitive toolkit, especially how people use physical representations of thought to learn, communicate, and solve problems. Towards this end, her lab employs converging approaches from cognitive science, computational neuroscience, and artificial intelligence. She previously held a faculty appointment at the University of California, San Diego, earned her PhD in Psychology from Princeton University, and received her AB in Neurobiology and Statistics from Harvard College.