Artificial Intelligence Forum II: Applications in Finance and Beyond
Time:
Saturday, Aug. 25th, 2018
1:30 PM –6:30 PM
Place:
Microsoft Technology Center
11 Times Square, New York, NY 10036
Guest Speakers:
Dr. Manuela Veloso
A world-renowned AI expert
Head of Artificial Intelligence Research @J.P. Morgan
Previous Head of Department of Machine Learning @CMU
Previous Herbert A. Simon Chair in Computer Science @CMU
Dr. Veloso is known for her research in artificial intelligence and robotics, and her pioneering work on robot soccer, which has emerged as an important research tool for studying how autonomous agents can work cooperatively in complex, uncertain environments. She is the co-founder and a past president of the International RoboCup Federation, which sponsors annual world championships in robot soccer. She and her students have fielded RoboCup teams since 1997, and have been international champions several times. Dr.Veloso’s research is particularly noteworthy for its focus on the effective construction of teams of robot agents, where cognition, perception, and action are seamlessly integrated to address planning, execution and learning tasks.
Dr.Veloso received her doctor’s degree in computer science from Carnegie Mellon. She earned her bachelor’s degree in electrical engineering, and a master’s degree in electrical and computer engineering from the Instituto Superior T’cnico in Lisbon, Portugal.
Her numerous honors include being elected the president of the Association for the Advancement of Artificial Intelligence, and Einstein Chair Professor by Chinese Academy of Sciences. She is a recipient of a National Science Foundation Career Award. She is also a fellow of the ACM, AAAS, and IEEE. Graduates and past students of Dr. Veloso include top AI specialists today at Google, startup AI Tech companies, and in academia.
Special Guest
He is the Artificial Intelligence Chief at one of the most successful investment firms in the world. Previously he was the Chief AI Scientist at one of the top tech companies in the world. His work focuses on the advanced development and research of artificial intelligence and deep learning, and on the management of researchers and software developers for applying machine intelligence to large-scale business data analysis and to speech/image/text multimodal information processing.
Dr. Xi Chen
Associate Professor of Information, Operations and Management Sciences @NYU Stern School of Business
Named in Forbes 30 Under 30 in Science for 2017
Professor Chen studies machine learning and optimization, high-dimensional statistics and operations research. He is developing parametric and non-parametric statistical methods as well as efficient optimization algorithms to address challenges in high-dimensional data analysis. He studies statistical learning and online decision making for crowdsourcing. He also investigates operations research/management problems, such as the optimal network design in process flexibility, approximate dynamic programming and revenue management.
Before joining NYU Stern, Professor Chen completed a one-year postdoc with Professor Michael Jordan at the University of California, Berkeley. Professor Chen earned his M.S. in Industrial Administration and Operations Research from the Tepper School of Business, and his Ph.D. in Machine Learning from the School of Computer Science, both at Carnegie Mellon University. He received the Simons-Berkeley Research Fellowship and IBM Ph.D. Fellowship.
Dr. Ching-Yung Lin
CEO of Graphen, Inc.
A startup company focusing on developing next-generation Artificial Intelligence technologies, especially on solutions for the Financial Services industry
Previous IBM Chief Scientist, Graph Computing, and an IBM Distinguished Researcher
Previous Lead of the Network Science and Machine Intelligence Department in IBM T. J. Watson Research Center
Adjunct Professor @Columbia University
Previous Affiliate Professor @University of Washington
Previous Adjunct Professor @NYU
Dr. Lin was elected to IEEE Fellow in Nov 2011, the first IEEE Fellow in the area of Network Science. He is an author of 170+ publications and 29 awarded patents. In 2010, IBM Exploratory Research Career Review selected Dr. Lin as one of the five researchers “most likely to have the greatest scientific impact for IBM and the world.”
His “Big Data Analytics” course at Columbia University attracts more than 300 graduate students per year and is the Top 1 search result of Baidu search on Big Data Analytics. He led a team of about 40 researchers from Columbia University, CMU,, Northeastern Univ., Northwestern Univ., UC Berkeley, Stanford Research Institute, Rutgers Univ., Univ. of Minnesota, and NMU in the then largest US social media analysis project from 2012 to 2015. He also led a project focusing on predicting human behavior for cognitive security applications.
Dr.Lin received his Ph.D. in Electrical Engineering from Columbia University and his bachelor’s and master’s degrees in Electrical Engineering from National Taiwan University.
Dr. Terence Lim
Lead of advanced research @Graphen for AI investment solutions
Previous Managing Director @Goldman Sachs
Previous Visiting Assistant Professor @Dartmouth College
Dr. Terence Lim has extensive experience in finance and machine intelligence, he now leads advanced research at Graphen for AI investment solutions. He previously worked at the Goldman Sachs headquarters for 12 years and held positions including Managing Director, Quantitative Investment Strategies and Senior Portfolio Manager overseeing global market-neutral and emerging-market quantitative equities.
He was also a Visiting Assistant Professor at Dartmouth College, teaching M.B.A. courses on Quantitative Analysis of Financial Markets, and an Investment Manager at Koeneman Capital Management conducting quantitative research. Dr. Lim has served with the Committee Encouraging Corporate Philanthropy as a Goldman Sachs Public Service Program Fellow, the MIT Sloan School of Management, Finance Group Advisory Board and the AICPA Investments Committee.
He holds a Ph.D. in Finance from MIT, an M.S. in Electrical Engineering from Stanford University, an M.S. in Computer Science and Machine Learning from Columbia University, and dual B.S. degrees in Engineering and Economics from University of Pennsylvania Wharton School. His research has appeared in leading academic and practitioner publications such as the Journal of Finance, Journal of Portfolio Management, and Handbook of Finance.
More about the Event:
On August 25th, the second round of Artificial Intelligence Forum, which co-sponsored by Chinese Association for Science and Technology (CAST-GNY), Chinese Institute of Engineers (GNY), The Chinese Finance Association, and USTC Alumni Association in Greater New York, was held in the Microsoft Technology Center in Time Square.
The forum invited renowned AI area leaders to talk about how Artificial Intelligence was being used and advanced in the area of finance and beyond. Dr. Manuela Veloso gave the audience a very interesting speech of the research in artificial intelligence and robotics. Her humorous and interactive presentation not only provided the audiences the development of AI research but also brings the interest to a very technical and specific topic. Our special guest talked about how to utilize and mine the specific data that suitable for a specific company’s purpose. The guest also shared the research of artificial intelligence and deep learning, and management of researchers and software developers for applying machine intelligence to large-scale business data analysis and to speech/image/text multimodal information processing. Professor Chen studies machine learning and optimization, high-dimensional statistics and operations research. He is developing parametric and non-parametric statistical methods as well as efficient optimization algorithms to address challenges in high-dimensional data analysis. During the presentation, he used examples that familiar to the audiences to elaborate his research and analysis of the AI technology. Dr. Ching-Yung Lin and Dr. Terence Lim talked about their missions for founding Graphen and the current research results of their company.
During the panel talk, Dr. Xi Chen, Dr. Kevin Zhou, Dr. Terence Lim, and Richard Tong shared with us their research on AI in education, finance, and health industries. They talked about the reason and motivation for stepping into the AI area.
The forum was very successful and educational, we appreciate all the guests that share with us their hard researches in the Artificial Intelligence field and interact with our audience during the whole afternoon.