Anna is a researcher in Human-Computer Interaction and a full Professor at the Department of Computer Science at Saarland University, Germany where she leads the Computational Interaction group. Previously, she was a postdoctoral researcher at the AIT Group of Prof. Otmar Hilliges at ETH Zurich. She received a Doctoral degree from Aalto University in Helsinki where she worked with Prof. Antti Oulasvirta in the User Interfaces group. Before that, she studied Computer Science at Saarland University, Germany.

João Belo is a researcher in Human-Computer Interaction, currently doing a Postdoc in the Computational Interaction Group at Saarland University led by Prof. Anna Maria Feit. He obtained his PhD degree at Aarhus University. Throughout his PhD, he visited the Computational Behavior Lab at Aalto University and worked as a research intern at Meta Reality Labs. His research focuses on Computational Interaction and Extended Reality, exploring optimization and machine learning methods to improve interaction in 2D and 3D user interfaces.

Xiaojuan Ma is an associate professor of Human-Computer Interaction (HCI) at the Department of Computer Science and Engineering (CSE), Hong Kong University of Science and Technology (HKUST). She is serving as the Associate Head of Department (Research & Knowledge Transfer) this year and is a senior member of IEEE and ACM. She received her Ph.D. in Computer Science at Princeton University under the supervision of Prof. Perry Cook. She was a post-doctoral researcher at the Human-Computer Interaction Institute (HCII) of Carnegie Mellon University (CMU) with Prof. Jodi Forlizzi, and before that a research fellow with Prof. Zhenhui (Jack) Jiang in the National University of Singapore (NUS) in the Information Systems department. Before joining HKUST, She was a researcher of Human-Computer Interaction at Noah's Ark Lab, Huawei Tech. Investment Co., Ltd. in Hong Kong.

Gonzalo Ramosis a Principal Researcher at Microsoft Research Redmond. His current research areas include advancing the state of the art on interactive machine learning and teaching, with an emphasis in augmenting people's ability to perform complex tasks, through innovations at the intersection of HCI research, machine learning, and design. He is a co-developer of Interactive Machine Teaching, a perspective about the way in which one designs and builds interactive People+ML systems, in a way that increases the agency and outcomes that end-users (with no ML expertise) have. He is a graduate of the University of Toronto’s DGP lab, as well as the Universidad de Buenos Aires. Prior to his position at Microsoft Research, he worked as a Senior Design Technologist and later UX Scientist at Amazon, and as a Scientist at Microsoft.

Gilles Bailly is CNRS Researcher at the ISIR Lab, Sorbonne Université. His research is at the crossroad of HCI, skill acquisition, decision making, AI and robotics. He designs novel interaction techniques (desktop, mobile) and build predictive models of performance and knowledge focusing on the transition from novice to expert behaviour.

John Dudley is an Associate Teaching Professor in the Department of Engineering at the University of Cambridge and a member of the Computational and Biological Learning Lab. He completed his PhD at the University of Cambridge under the supervision of Prof. Per Ola Kristensson. His research focusses on the design of interactive systems that dynamically adapt to user needs and behaviours. He is particularly interested in the design of user interfaces for productive and enjoyable applications of virtual and augmented reality, with a special focus on supporting efficient input under uncertain interaction settings.

John H. Williamson is a Senior Lecturer at the University of Glasgow. His research interests are around machine learning for novel sensing devices, probabilistic modelling and filtering for interaction, and the use of Bayesian methods more generally in HCI. In the past he has worked on brain-computer interfaces, mobile interaction and real-time sonification. He organised the first summer school on Computational Interaction in 2015.

Amanda is an AI and Accessibilty Researcher and Engineer at Apple Inc. She received her Ph.D. in Computer Science from the University of Washington advised by Amy Ko and James Fogarty. She researched systems and interfaces for UX/UI designers that apply techniques from diverse areas including program analysis, synthesis, constraint solving, and machine learning. Through her research, she created systems to help interface designers explore and adapt alternative and example interfaces, and analyze the usability of an interface without needing to collect any data. She collaborated with industry researchers through internships with Adobe Research and Google, and have conducted over 100 interviews and study sessions with interface designers. Her research was supported by the National Science Foundation Graduate Research Fellowship. Previously, she spent 3 years working as a full-time software development engineer at Microsoft, where she helped build a web interface framework for Microsoft Dynamics, and specialized in user interface layout, patterns, and visual regression testing.