Dr. Zhu is a Principal Research Scientist and Manager at IBM Research. She is the Head of AI in Finance Research at MIT-IBM Watson AI Lab. Dr. Zhu leads researchers with machine learning, NLP, and statistics backgrounds to develop foundational AI and ML capabilities to support intelligent decisions and risk management in financial service. She is the PI of multiple MIT and IBM collaborative projects and the lead of a new initiative on climate change-related financial risk. She has worked with many industry clients in the finance, commerce, and energy sectors on first-of-kind research explorations. She has served as a technical advisor on AI partnerships with key banking and financial market clients and FinTech startups.

Dr. Zhu has been conducting research on high-dimensional time series modeling, machine learning with data from heterogeneous sources and forms, large-scale graph learning, and statistical modeling with applications motivated by finance, e-commerce, and advanced manufacturing. Her work has contributed to several IBM products, multiple IBM Outstanding Technology Achievement awards, and highly valuable innovation awards. Dr. Zhu has published over 50 articles on top venues and served on the editorial board for multiple international journals in the area of statistics and data science, SPC and PC of AAAI, NeurIPS, KDD, IJCAI, etc. She is a senior member of IEEE and ACM.

Anju Chopra is Chief Innovation Officer for the Cyber Risk practice, based in Nashville. In a career spanning more than 20 years, Anju has continually delivered innovative, often ground-breaking solutions to complex business problems using advanced technology systems, cyber security, artificial intelligence and enterprise architecture. As Chief Innovation Officer for Cyber Risk, Anju leads the conceptualization, development and implementation of all business-critical technology products and platforms for the global Cyber Risk practice. Anju holds several patents related to dark web technologies as well as search efficiencies for identifying whether private information has been exposed, with a focus on detecting exposure and threats that emanate from the deep and dark web. 

Dr. Jinghua Wang currently holds the position of Assistant Professor of Finance at Martin Tuchman School of Business, New Jersey Institute of Technology. Prior to joining NJIT, Dr. Wang has held positions at University of Wisconsin, PLU, and Stockton. She earned her Ph.D. in Management Science with a focus on Finance from the Stuart School of Business at IIT. Dr. Wang has also accumulated valuable banking experience with Fortune 500 companies. Her research interests encompass financial economics, the intersection of investments and FinTech, and machine learning. Her recent research explores the impact of economic policy uncertainty on cryptocurrency markets using machine learning algorithms.

Tracey is an AI practitioner whose current role consists of leading end to end development of an ML based reconciliations solution from product conception,  through productionization, QA and commercialization.

Prior to that Tracey worked in banking operations during which she completed a part time Phd in machine learning and before that worked in  roles in scientific software and the space industry.

Xin Guo is the Coleman Fung Chair in Financial Modeling Endowment Fund in the Department of Industrial Engineering and Operations Research at UC Berkeley.  Her lab is dedicated to studying Risk Analytics & Data Analysis. Research topics include stochastic controls, stochastic differential games and machine learning, with applications in finance, biological sciences, and healthcare.