Dr. Xiaoqin Wang received his B.S. in electrical engineering from Sichuan University in 1984, M.S.E. in electrical engineering and computer science from University of Michigan in 1986, and Ph.D. in biomedical engineering from the Johns Hopkins University in 1991. He conducted postdoctoral research in somatosensory and auditory neuroscience at University of California, San Francisco (1991-1995). Dr. Wang has been a faculty member of Biomedical Engineering Department at the Johns Hopkins University since 1995. He has served as the director of Tsinghua-Johns Hopkins Joint Center for Biomedical Engineering Research since 2008 and was appointed (part-time) Professor and Chair of the Department of Biomedical Engineering at Tsinghua University in 2010, and Director of Tsinghua Laboratory of Brain and Intelligence in 2017.

Principal Investigator at Department of Biomedical Engineering, School of Medicine, and McGovern Institute for Brain Research.He received PhD degree in computational neuroscience from Brandeis University in 2002, and completed postdoctoral research at Cold Spring Harbor Laboratory and Massachusetts Institute of Technology. In 2010, he joined the Department of Biomedical Engineering at Tsinghua University. His main research interest is in interdisciplinary research in computational neuroscience, artificial intelligence. He also has considerable experience in research on neural circuits, bioinformatics, and genomics. His representative work includes the theoretical study on the spike-timing-dependent plasticity (STDP) published in Nature Neuroscience and Neuron, and the study on the motif analysis of local brain circuits published in PLos Biology. In recent years, his lab has also conducted a series of work on neural circuits underlying emotion and motivation, which are published in Cell Reports, Journal of Neuroscience and others. In the field of artificial intelligence, he is interested in applying deep learning to the analysis of brain imaging data and healthcare and education. In the 2017 Kaggle Datascience Bowl International Competition, students from the laboratory, in collaboration with the laboratory of Xiaolin Hu from the CS department, stood out from thousands of teams and won the first place, developing a lung cancer prediction algorithm based on CT images. Recent new interests include: brain-scale cognitive models, modeling and analysis of complex temporal and spatial data such as EEG with applications in social interaction and positive psychology research, and neuro-aesthetics.

Dr. Jun Zhu is a Professor at the Department of Computer Science and Technology in Tsinghua University, an Assistant Director of Tsinghua Laboratory of Brain and Intelligence, and the Director of Basic Thoery Research Center at Tsinghua University Institute for Artificial Intelligence. He was an Adjunct Faculty at the Machine Learning Department in Carnegie Mellon University from 2015 to 2018. Dr. Zhu received his B.E. and Ph.D. degrees in Computer Science from Tsinghua in 2005 and 2009, respectively. Before joining Tsinghua in 2011, he did post-doctoral research in Carnegie Mellon University.