Prof Dr Stefanie Höhl



Stefanie Höhl is Professor of Developmental Psychology at the University of Vienna. Her areas of research interest are neural and behavioral synchrony in social interactions (EEG/ fNIRS-Hyperscanning); functionality of neural rhythms in early development; social learning and communication across development; and development of face, emotion, and gaze perception.

Prof Aude Billard



Aude Billard is Professor in the School of Engineering, École Polytechnique Fédérale de Lausanne. Her research interests span the control and design of robotic systems meant to interact with humans. To this goal, she pursue research in three complementary areas: a) the development of control systems for teaching robots through human demonstration; b) the study of the neural and cognitive processes underpinning imitation learning in humans; c) the design of user-friendly human-computer interfaces to facilitate human-robot interaction. She also conducts research on societal aspects of the use of robotics with application to diagnosis and therapy of children with autism. Her expertise lies in robot control, signal processing and machine learning, areas that are fundamental to her research and teaching.

Prof Hod Lipson



Hod Lipson is a roboticist who works in the areas of artificial intelligence and digital manufacturing. He and his students love designing and building robots that do what you’d least expect robots to do: Self replicate, self-reflect, ask questions, and even be creative.

Hod’s research asks questions such as: Can robots ultimately design and make other robots? Can machines be curious and creative?  Will robots ever be truly self-aware? Answers to these questions can help illuminate life’s big mysteries.
An award-winning researcher, teacher, and communicator, Lipson enjoys sharing the beauty of robotics though his books, essays, public lectures, and radio and television appearances. ​Hod is a professor of Mechanical Engineering at Columbia University, where he directs the Creative Machines Lab, which pioneers new ways to make machines that create, and machines that are creative.

Prof Michael J. Frank



Michael J. Frank, PhD is Edgar L Marston Professor of Cognitive, Linguistic & Psychological Sciences and Psychiatry and Human Behavior and is affiliated with the Carney Institute for Brain Science. He directs the Brown Initiative for Computation in Brain and Mind and the Laboratory for Neural Computation. He received his PhD in Neuroscience and Psychology in 2004 at the University of Colorado, following undergraduate and master’s degrees in electrical engineering and biomedicine (Queen’s University (Canada) and University of Colorado). 

Dr. Frank’s work focuses primarily on theoretical models of frontostriatal circuits and their modulation by dopamine, especially in terms of their cognitive functions and implications for neurological and psychiatric disorders. The models are tested and refined with experiments involving pharmacological manipulation, deep brain stimulation, EEG, fMRI and genetics. Honors include Kavli Fellow (2016), the Cognitive Neuroscience Society Young Investigator Award (2011), the Janet T Spence Award for early career transformative contributions (Association for Psychological Science, 2010) and the DG Marquis award for best paper published in Behavioral Neuroscience (2006). Dr Frank is a senior editor for eLife, associate editors for Behavioral Neuroscience and the Journal of Neuroscience, and member of Faculty of 1000 (Theoretical Neuroscience section).