Speakers

Fu Haohuan, professor and vice dean of Tsinghua Shenzhen International Graduate School, serves as deputy director of the National Supercomputing Center in Shenzhen. For decades, he has dedicated himself to interdisciplinary research at the intersection of high-performance computing and geoscience, publishing over 200 papers in these fields. His work focuses on developing innovative approaches to enhance Earth system science research through high-performance computing and artificial intelligence technologies. Particularly addressing critical challenges in climate change, seismology, and Earth observation, he has successfully translated the computational power of domestic supercomputers into simulation capabilities for complex phenomena and predictive capabilities for future scenarios.
Professor Fu won three ACM Gordon Bell Prizes, the highest award in the field of high performance computing (fully-implicit atmospheric dynamic solver in 2016, non-linear earthquake simulation in 2017, and large-scale quantum circuit simulation in 2021). These research findings have significantly enhanced models’ precision in simulating extreme natural disasters and large-scale stochastic quantum circuits.
As the principal investigator, he has undertaken the National Natural Science Foundation of China (NSFC) Cross-disciplinary Outstanding Youth Fund Project and the Key R&D Program of the Ministry of Science and Technology. Other achievements and awards include: 2017 Chinese Institute of Electronics Award For Science and Technology Advancements (Only 14 worldwide), 2017 Tsinghua University's Top 10 Achievements, 2018 Jiangsu Province's May 4th Youth Medal, 2020 China May 4th Youth Medal, 2021 China Electronics Society Science and Technology Progress First Prize, 2022 Tsinghua University’s Team of Excellence(Team Leader), 2023 Outstanding Communist Party Member of Tsinghua University, 2023 Wu Wenjun Award for AI Science and Technology Advancements (Second Class), etc. In 2025, he was awarded the IEEE Fellow.

Moxian joined Tencent in 2016. He is currently a member of Tencent’s Hunyuan joint project team and WeCityX expert group, focusing on frontier technologies, AI applications and urban technology. He previously served as Ecosystem Operations Director for Tencent Cloud’s Architecture, Engineering and Construction industry sector and participated in several landmark projects, including Tencent’s Binhai Headquarters project. He has led and contributed to Tencent research publications on emerging digital technologies and future technology trends, including as chief editor of 2023 Top Ten Frontier Digital Technology Application Trends. Prior to Tencent, he held product and R&D leadership roles at leading technology companies. He holds a PhD in Computer Science from the UK and has over 15 years of experience across the ICT and internet sectors.

Prof. Dr. Ercan Engin Kuruoğlu is a Full Professor and Ph.D. Supervisor at the Tsinghua University Shenzhen International Graduate School (SIGS). He serves as the Principal Investigator of the Time-Varying Data Science Group, focusing his research on statistical signal processing, machine learning, and information theory. After earning his Ph.D. from the University of Cambridge, he spent two decades as a Chief Scientist at the Italian National Council of Research (ISTI-CNR) before joining Tsinghua University. An IEEE Fellow and Alexander von Humboldt Fellow, his work on non-Gaussian data and causal machine learning is widely applied across remote sensing, telecommunications, and computational biology.

Zihan Geng is an Associate Professor at the Tsinghua Shenzhen International Graduate School (SIGS), specializing in Computational Imaging and Optical Signal Processing. He earned his Ph.D. from Monash University in 2018, later working as a Senior Engineer at Huawei and an Assistant Professor at the Harbin Institute of Technology. His research fuses artificial intelligence with advanced optics to build breakthrough technologies, including a coin-sized 3D camera and ultrafast 3D tracking systems that process data 200 times faster than traditional video methods.

Fang Liu previously served as Vice President, Chief Legal Officer, and Chief Compliance Officer at NIO and ZEEKR. In these roles, she was closely involved in shaping corporate strategy across all stages of development, building global legal and compliance teams from the ground up, and establishing comprehensive governance frameworks. She supported nearly US$20 billion in financing and successful listings on the New York Stock Exchange, and led legal efforts enabling expansion into more than 60 countries and regions. At ZEEKR, she also developed and implemented the company’s sustainability strategy from scratch, contributing to strong investor interest following its IPO.
With over 26 years of experience, Fang Liu has also worked at leading international law firms and Fortune 500 companies, advising multinational corporations, private enterprises, and state-owned entities on cross-border investment and financing, private equity fund-raising, joint ventures, and major infrastructure projects.
She is qualified to practice law in China and New York and holds an executive MBA. Her recognitions include Chambers Global Market Leaders GC Ranking (2026), multiple China Business Law Journal awards, Asian Legal Business China Female In-House Counsel of the Year (2020 and 2021), and inclusion in the Legal 500 China GC Powerlist (2019).

Yi joined Tencent Music Entertainment Group in 2019 and served as Vice President of Tencent Music, leading initiatives across new media, intelligent IoT, consumer devices and innovation businesses. His recent work focuses on AI foundation models, new media applications and next-generation intelligent devices. Prior to Tencent, he held management and business leadership positions at UTStarcom, Microsoft, Lenovo, Sohu, Huawei and Qingting FM. He has more than 20 years of experience in business development and organizational management across the media, telecommunications, manufacturing and internet industries.

Dr. Chao REN is a Professor at the University of Hong Kong. She is the Director of the Msc in Sustainable Environment Design and the Associate Director of the HKU Jockey Club Enterprise Sustainability Global Research Institute. She specializes in applied climatology and climate design. Chao’s multi-dimensional, cross-disciplinary research has transferred scientific data into new knowledge to address social needs, enhance policy-making and support evidence-based designs in China, Taiwan, Singapore, The Netherlands and France since 2006. She is the Awardee of the 2023 University-level Knowledge Exchange Excellence Award and the 2022 Rosie Young 90 Medal Outstanding Young Woman Scholar at HKU. She is also the Recipient of the Timothy Oke Award for early- & mid-career scientists given by the International Association for Urban Climate in 2020.
Chao’s publication with focuses ranging from examining the relationship between urban climate and urban morphological characteristics, developing an urban climatic mapping system and a wind corridor plan, to analysing human thermal comfort and public health risk for subtropical high-density cities. Her latest book is ‘Local Climate Zone Application in Sustainable Urban Development’ published in 2024. She has been named in the World’s Top 2% of Scientists List by Stanford University (2023-25) and Top 1% Scholars by Clarivate (2025).
Chao serves as a co-Chief Editor for Urban Climate and an Editorial Advisor for Cities & Health (2018-), and is a member of Urban Climate Expert Team and the Study Group on Greenhouse Gas Monitoring and of the World Meteorology Organization. She also serves as the steering committee member of the Global Heat Health Information Network and Southeast Asia Heat Health Hub. She has also been elected as a Board Member of the International Association for Urban Climate (2017-2021). She has been involved in several international collaborative research reports, including the IPCC AR6 (Contributing Author of Chapter 6 Cities, Settlements and Key Infrastructure), Climate Change and Cities ARC3.3 (Lead Author of Chapter 2), the China report of the Lancet Countdown on Health and Climate Change (Lead Author of WGII) and the 7th Global Environment Outlook (GEO-7) (Lead Author of Chapter 2) of UN Environment Programme. Locally she serves as a Member of the Strengthen Emergency Preparedness and Response Strategic Committee of the Hong Kong Red Cross.

Professor Junjie Chen is an Assistant Professor in the Department of Real Estate and Construction and Deputy Director of iLab. His research sits at the intersection of construction management, artificial intelligence, robotics, and social science, with a focus on robotics in the built environment, smart facility management, and human-robot interaction.
He has secured more than HK$5.2 million in research funding and published extensively in leading journals, with his work earning multiple international awards, including a Geneva Invention Gold Medal. His research has been translated into real-world applications, including AI-powered building inspection and assessment systems deployed in public housing and university facilities. In addition to his research and industry collaborations, Professor Chen is an active educator, teaching across several courses, delivering international guest lectures, and serving as an external examiner for doctoral programs at leading universities.

Dr. Huazhu Fu is a Principal Scientist at the Institute of High Performance Computing (IHPC), A*STAR, Singapore. His research focuses on medical image analysis, AI for healthcare, and trustworthy AI. With over 200 publications in leading conferences and prestigious journals, including Nature Communications, Cell Reports Medicine, and IEEE TPAMI. His works have garnered more than 33,000 citations on Google Scholar. Dr. Fu has received numerous accolades, including Best Paper Awards at ICME 2021, MICCAI-OMIA 2022, MICCAI-DeCAF 2023, and MICCAI-OMIA 2024. He has been recognized as a "Highly Cited Researcher" by Clarivate and among the "Top 2% Scientists Worldwide" by Stanford. He serves as an Associate Editor for several distinguished journals: IEEE TMI, IEEE TNNLS, and IEEE JBHI.

Mr. Miao is the CFO of Ant Health. He also leads the Globalization Office of Ant Health. Mr. Miao joined Ant Group in Oct 2018 and has held the position of Finance Director. He is appointed as CFO of Ant Health in 2024. Prior to joining Ant Group, Mr. Miao worked at KPMG, Microsoft and Royal Dutch Shell. Mr. Miao obtained his Bachelor’s degree from Renmin University of China and his MBA degree from Darden Business Scholl of University of Virginia.

Dr. Jun Jiang is a Professor at the University of Science and Technology of China specializing in theoretical, physical, and materials chemistry. His research focuses on multi-scale modeling and machine learning methods for simulating charge kinetics in complex systems, with applications spanning photocatalysis, photochemistry, biochemistry, molecular electronics, and photonics.
He has published more than 50 papers in leading journals, including Nature Energy, Journal of the American Chemical Society, Angewandte Chemie, Physical Review Letters, and Advanced Materials. Dr. Jiang is a recipient of the National Science Fund for Distinguished Young Scholars (China) and has received several prestigious honors, including the Young Theoretical Chemistry Investigator Award of the Chinese Chemical Society and the Distinguished Lectureship Award of the Chemical Society of Japan.

Dr. Zhang has more than 15 years of experience in drug discovery and translational medicine research. She has worked for domestic and multinational pharmaceutical companies including Hengrui Pharmaceuticals, Johnson & Johnson, and Novartis. Her research covers multiple disease areas including oncology, liver fibrosis, and hepatitis B. She contributed greatly to novel target discovery and mechanism research, as well as promoting novel drug discovery programs.
Prior to joining Insilico, Dr. Zhang served as CSO, Head of Discovery Biology and Translational Medicine at Shanghai De Novo Pharmatech, where she led a comprehensive preclinical team covering discovery biology, translational medicine, and IND-enabling research to advance multiple programs into clinical and IND-enabling studies. During her tenure at Novartis, Dr. Zhang played a critical role in delivering the first-in-class asset MAK683 currently at clinical phase 2.
Dr. Zhang graduated from the University of Texas at Austin with a PhD in 2003. Prior to that, she received her B.S. in Biochemistry and M.S. in Biochemistry and Molecular Biology from Peking University.

Long Zeng is an Associate Professor and Doctoral Supervisor with a PhD from the Hong Kong University of Science and Technology. He leads the Intelligent Manufacturing and Machine Vision Research Group and serves as Director of the Tsinghua–Purdue Intelligent Service Robot Technology Joint Research Center.
His research focuses on industrial embodied intelligence, intelligent manufacturing, machine vision, robotics, and AI-driven industrial software. Current interests include industrial foundation models, humanoid robotics, semantic mapping, knowledge graphs, 3D reconstruction, AIGC, and intelligent robotic systems.
Professor Zeng has published more than 80 papers in leading international journals and conferences, secured over RMB 25 million in research funding, and holds more than 40 invention patents. His research has been successfully translated into industry applications, particularly in flexible assembly systems and vision-guided robotic manipulation.