Mr Wei Zhang is an Executive Director on the Board of Directors of one of top 5 Chinese Investment banks London subsidiary. Wei Zhang has deep knowledge and experience in capital market from his over 12 years’ experience . Prior to join the current company, Mr Zhang worked in the Chief Investment Office (CIO) of J.P. Morgan. His other previous employers include Royal Bank of Scotland and PwC. Wei Zhang was also the founder of Topplar Ltd , which is an online social network platform for the students. Graduating from the London School of Politics and Economics (LSE), Mr Zhang is a member of the Associate of the Institute of Chartered Accountants in England & Wales (ACA – ICAEW).
Jiahao Sun is the lead A.I. engineer of an innovation lab of RBC (Royal Bank of Canada). He is recognized by the UK Home Office as an outstanding expert in Deep Learning and Artificial Intelligence field and was entitled UK’s Tier 1 (Exceptional Talent) visa. Prior to RBC, he co-founded UiiTech Ltd., an Artificial Intelligence start-up aiming to reinvent digital marketing industry, and he was the Chief Data Scientist at TypeScore (a FinTech company focusing on credit scoring) . He holds an MSc in Computer Science from the University of Oxford.
Zhikai XIE has over 10 years of prop trading and investment experiences focusing on commodities in global leading institutions including trading house and multi billion hedge funds. He is passionate about technology and firmly believes that AI will revolutionize the world of investments. He graduated from Peking University in China and Sciences-Po Paris in France.
Zhenhai Li, heading medium-term strategies and a member of investment committee in an Oxford based asset management company. Zhenhai is passionate about developing equity market neutral strategies, including Chinese market strategies. Zhenhai holds a PhD in Control Engineering from Imperial College London and a BEng in Automation from Shanghai Jiao Tong University. He is a CFA holder.
Xinghui Tao is a machine learning research and development consultant. During the past 10 years, he has led teams of domain experts, data scientists and software engineers to deliver ML solutions to clients around the world including Verizon Wireless, AVL, Warren Henry, Foxconn, ZF and Singapore Government.
He has in-depth understanding of deep learning architectures and rich experience of ML project landing. He has worked as Chief Technical Architect at Phoenix TV European and Smiley Co., and VP of Data Science Operations at Eriden and MeScience.
He holds MSc of Computing Science and M.Phil of Professional Development from UCL and Analyst Certificate of Social Physics Big Data from MIT.
Liuqing Chen is a PhD at Imperial College London. He is doing research of human creativity using machine learning and data-driven methods, such as the developed creativity engine B-Link, artificial intelligence (AI) for combinational creativity, AI for creativity interpretation. His general interest is about the applications of artificial intelligence techniques in various fields.
Tao Cao, Lead Data Scientist at IQVIA. His work combines data science with human science to provide innovative solutions to healthcare providers. Currently he focuses on developing data-driven predictive models to improve clinical trials performance and implementing automatic analytic tools and systems to detect rare diseases.
Zhen Liu is currently working for Aberdeen Standard Investment. He is a quant analyst in Quantitative Investment team. Mainly working on developing mid/long term quantitative equity strategy, including applying AI techniques for next generation investment model. Prior to that, he was a research associate in Department of Statistics, University of Oxford, focusing on big data analysis for genome sequencing. Zhen has obtained his PhD in Statistis from Lancaster University.
Xulin (Catherine) Chen has 10 years of work experience in retail banking and financial services. She worked for GE Capital and ANZ (Australia and New Zealand Banking Group) with a focus on applying machine learning and artificial intelligence to credit risk management and process automation. She is passionate about solving business problems with machine learning techniques. Currently she ranks top 1% on the largest data science competition platform Kaggle. She holds a bachelor degree in Statistics from Huazhong Science and Technology University and a master degree in Business Management from Shanghai Jiao Tong University.
William Xu, a Chartered Accountant, currently works for a large foreign currencies exchange company (Currencies Direct) as Group Financial Controller, is responsible for the group finance and taxation. William Xu worked for several large companies including a FTSE 100 listed company, and has decades experience in the Group finance and management. His main focus is on the company operations, financing and acquisitions. He is very interested in artificial intelligence, and believes that much of the work currently being done will soon be replaced by artificial intelligence systems. William Xu holds a Bachelor degree with the first class honours from Lincoln University, New Zealand, and also was awarded a full scholarship for his master degree.
Yan Zhuang (Jessica) is a data and business intelligence analyst, providing brand protection and data analysis service on marketplace, social media and digital advertising for world-renowned brands and media groups. Yan previously worked as a data analyst in the central administrative section of China Central Television (state TV of China). Yan holds an MSc in Big Data Science from Queen Mary University of London and an MFA in Radio and Television from Peking University.
Jingwei Zhang is a Data scientist at Dunnhumby (Tesco), the world’s first customer data science platform. She has rich experience in applying machine learning and AI techniques to expand customer knowledge and optimize assortment,marketing and price strategy. Her research interest include natural language processing, recommendation system and network analysis. She also co-founded an edu-tech company, developing AI-driven online learning platform and mobile applications.She holds two MSc degrees on Neurolinguistics and Data Science from University College London.
Beibei Li, data scientist in Barclays. Worked as a machine learning engineer in Ocado technology as a machine learning engineer. She has experiences of reinforcement learning, image recognition, NLP, PGM and etc. PhD of applied mathematics, university of Glasgow.
Shen Cheng, Senior Data Scientist at Elsevier/RELX. He focuses on applying various machine learning, reinforcement learning, NLP, social network analysis and graph algorithms to improve the performance of recommendation systems, helping millions of researchers to discover new/relevant articles in their fields of interest. Cheng holds a MSc in math with distinction from Durham University and a BSc in theoretical physics from Nanjing University.
Veronica Cheng is a Senior Consultant in the Data Science team under Deloitte Risk Advisory practice. She holds a PhD degree in statistics from London School of Economics (LSE). She has worked on many NLP and data science related projects and has provided solutions for different clients in the financial industry. She has a wide range of statistics and machine learning knowledge, including regression analysis, time series, applied probability, Bayesian inference, topic modelling, tree-based algorithms, neural nets etc., and extensive programming experience in Python and R.
Kezhi Li is a researcher at Imperial College London (ICL), with over 10 years research experience in signal processing and machine learning in healthcare and quantum physics. Kezhi has published over 50 scientific papers, including IEEE Trans., Physical Rev., Nature Methods, and top AI workshops and conferences such as NIPS, IJCAI, ICASSP, IFAC, etc. Kezhi graduated from ICL and Univ. of Sci. and Tech. of China.
Dr Yuanyuan Liu joined AIG in 2013, and is currently leading the machine learning division within AIG’s Investments AI department. During the past 6 years, he has initiated and led multiple global projects such as SME loss-risk analysis, client lifetime value modelling, and opportunity map, etc. Most recently, he is working on AIG’s innovative R&D projects to apply edge-cutting deep learning algorithms in insurance and investment, using generative model, sequential model, and reinforcement learning. Yuanyuan’s team has published a series of papers in NIPS, ICML, AAAI, ICASSP for granular and accurate insurance pricing, equity volatility forecasting, efficient multi-mode data samplings. Yuanyuan graduated from the University of Oxford with a DPhil in Statistical Machine Learning (Supervisor: Prof Brian Ripley) and a MSc in Applied Statistics. Prior to that, he studied a Mathematics with Statistics major in the University of Bristol.
Xing Zhang, is working in a world-leading cyber-security company, responsible for software R&D and Machine Learning technology integration. Industrial experience is mainly focused on image processing algorithm development and intelligent system development, such as An infrared intelligent monitoring system for elders in home environment, and A real-time hand washing monitoring and hygiene quality classification system for NHS staff. He Graduated from the University of Wales, Aberyswyth with a PhD, studying early cognitive development on robotic vision. Undertook post-doctoral research in King’s Colleage London, focusing on competitive neural networks, its explanation for vision development in neural science and its application to adaptive robotics.
Previous committee members
Yuqian Song, Principal Data Scientist at Mckinsey & Co. and previously lead the data science team in Deutsche Bank and Barclays Bank in London. He focuses on applied A.I. and fintech solutions for financial organisations. Yuqian holds a PhD from Trinity College, Dublin and a BSc from Tongji University.
Lin Liu is a lead data scientist at one of top financial institutions in the U.K. Lin has more than ten years of experience in data engineering and data science field. His main interest is applying AI and machine learning techniques in financial industry. Lin was awarded doctorate degree in Electronic and Electrical Engineering from University of Strathclyde.