Organizers
Bio
I am an associate professor in Computer Science at Cornell University. I work on computer vision and machine learning, in particular on important problems that defy the "Big Data" label. I enjoy problems that require marrying advances in machine learning with insights from computer vision, geometry and domain-specific knowledge
Bio
Yanan Sui is a tenured associate professor at Tsinghua University working on Machine Learning, Neural Engineering, and Robotics. He received undergraduate degree from Tsinghua and Ph.D. degree from Caltech, working with Profs. Mu-ming Poo, Joel Burdick, and Yisong Yue. He was a postdoc with Prof. Fei-Fei Li at Stanford before joining Tsinghua. Yanan is dedicated to the research of neuro-musculo-skeletal modeling, learning and control, with applications in embodied intelligence and brain-machine interaction. His work on safe optimization has been included in textbooks at Stanford and other universities. He co-won best paper awards at robotics conference and workshop. His work has been successfully applied to the clinical treatment of neural injuries in China and the United States. He serves as committee member / senior area chair / area chair for leading AI conferences. His contributions have been recognized by MIT Technology Review's Innovators Under 35 in China, AI 100 Young Pioneer Award etc.
Bio
I am a Senior Staff Research Scientist / Tech Lead Manager @ Google DeepMind. My current work focuses on computer vision and machine learning. I graduated with a Ph.D. from Stanford University in 2016.
Bio
Pablo was born and raised in Quito, Ecuador and obtained his PhD at McGill University. He has worked at Google since 2012, mostly focusing on fundamental Reinforcement Learning and Neuroscience research. Aside from his interest in coding/AI/math, Pablo is an active musician and loves running (7 marathons so far, including Boston!).
