Prof. Xingao Gong is distinguished Professor of Fudan University, Principal scientist of the Major Scientific Research Programs of the Ministry of Science and Technology, Fellow of the American Physical Society and Academician of the Chinese Academy of Sciences.
He received his bachelor’s degree, master’s degree and doctorate degree of science in 1982, 1985 and 1993 respectively. Since 1993, he had been working as a full professor at Institute of Solid State Physics of Chinese Academy of Sciences. In 2000, he was appointed Professor of Fudan University in Department of Physics. In 1999, he won the National Science Fund for Distinguished Young Scholars. In 2009, he founded the Key Laboratory of Computational Physical Sciences (Fudan University) of Ministry of Education and served as Director. His main research interests include computational condensed matter physics including development of computational methods, and simulation of low dimensional structures and computational design of new energy materials, etc. He won once the second prize of National Award for Natural Science and the first prize of Provincial Award for Natural Science twice. He published more than 300 papers, be cited more than 14,000 times and the H index is higher than 60.

Prof. Clemence Corminboeuf is a full professor in theoretical chemistry at EPFL (Lausanne). She obtained her Ph.D. degrees from the University of Geneva conducting research in Geneva and at TU-Dresden. Subsequently, she held postdoctoral positions at New York University and the University of Georgia. Her research focuses on the development of machine learning techniques within the field of quantum chemistry along with conceptual work relevant to the field of catalysis and molecular materials. She received several awards, which include the Theoretical Chemistry Award from the American Chemical Society (2018), two ERC grants (starting in 2012 and consolidator in 2018) and the Heilbronner-Hückel Lectureship Award 2021.

Professor Peng Wang (Koby) is Professor of uncertainty quantification at Beihang University. He was awarded his Ph.D. in Computational Science at the University of California, San Diego. His research focuses on the developments and applications of efficient numerical frameworks for stochastic systems. He has enjoyed multi-disciplinary collaborations with scientists in environment, energy, drug, materials and electronics. He is the co-principal investigator for the Chinese Material Genome project on developing tools and database for high-throughput simulations and experiments for information storage materials. In addition to material discovery, Professor Wang also enjoys the creative aspect of culinary discovery, factoring variables of temperature, pressure and the doping of spices to achieve optimal taste and texture.