Speakers
Manuela M. Veloso
Manuela M. Veloso is the firmwide Head of AI Research for J.P. Morgan, which pursues fundamental research in areas of core relevance to financial services, including data mining and cryptography, machine learning, explainability, and human-AI interaction. The team partners with applied data analytics teams across the firm as well as with leading academic institutions globally. Professor Veloso is the Herbert A. Simon University Professor Emeritus in the School of Computer Science at Carnegie Mellon University, and the past Head of the Machine Learning Department. With her students, she had led research in AI, with a focus on robotics and machine learning, having concretely researched and developed a variety of autonomous robots, including teams of soccer robots, and mobile service robots. Her robot soccer teams have been RoboCup world champions several times, and the CoBot mobile robots have autonomously navigated for more than 1,000km in university buildings. Professor Veloso is the Past President of AAAI, and the co-founder, Trustee, and Past President of RoboCup. Professor Veloso has been recognized with multiple honors, including being a Fellow of the AAAI, AAAS, ACM, IEEE. She is the recipient of several best paper awards, the Einstein Chair of the Chinese Academy of Science, the ACM/SIGART Autonomous Agents Research Award, an NSF Career Award, and the Allen Newell Medal for Excellence in Research.
Lastly, just a week ago, Professor Veloso was elected as a 2022 member of the National Academy of Engineering. The honor is among the highest professional distinctions bestowed on engineers.
Ani Calinescu
Anisoara Calinescu is Associate Professor of Computer Science and Deputy Head of Department (Teaching), in the Department of Computer Science of the University of Oxford. She has a 5-year (MSc equivalent) Computer Science degree from the Technical University of Iasi, Romania, and a DPhil in Engineering Science from the University of Oxford.
Ani's main research area is Modelling and Reasoning about Complex Systems. Her research interests are fundamentally interdisciplinary and include complex systems and complexity metrics; supply chains and financial systems; agent-based modeling, IoT-based Digital Twins; systemic risk. Her recent work includes applying Machine Learning techniques to identify behavioral patterns in supply chain and financial market data; and building, validating, and calibrating large-scale agent-based models of complex systems.
Ani is currently a Principal Investigator on "A demonstrator and reference framework IoT-based Supply Chain Digital Twin" Pitch-In project, in collaboration with Cambridge University and Schlumberger, and a Co-investigator on two projects funded by JP Morgan Chase AI Faculty Research Awards.
Chung-Sheng Li
Chung-Sheng Li is currently a Managing Director at PwC AI Lab with the focus on driving AI augmented assurance. Prior to joining PwC, he was with Accenture Operations as the Global Research Managing Director of AI, with the focus on driving the development of new AI- enabled business process service offerings for Accenture Business Process Services from 2016 to 2019. Previously, he has been with IBM. Research between 1990 and 2016 with various technical leadership responsibilities. His career includes driving research and development initiatives spanning cognitive computing, cloud computing, smarter planet, cybersecurity, and cognitive regulatory compliance. He has authored or coauthored more than 100 patents and 170 journal and conference papers (and received the best paper award from IEEE Transactions on Multimedia in 2003). He is a Fellow of the IEEE. He received BSEE from National Taiwan University, Taiwan, R.O.C., in 1984, and the MS and Ph.D. degrees in electrical engineering and computer science from the University of California, Berkeley, in 1989 and 1991, respectively.
Abhijit Bose
Abhijit Bose is the Managing Vice President for Capital One’s The Center for Machine Learning (C4ML). Prior to joining Capital One, Abhijit served as Facebook’s Head of Engineering (Montreal, NYC, Pittsburg) for Facebook AI Research. With over 20+ years of data science expertise, Abhijit encompasses an impressive technical and academic career history. He obtained a Bachelor's degree in Mechanical Engineering, received his dual-Masters in Mechanical Engineering as well as Computer Science, and received his dual-Ph.D in Computer Science and Engineering Mechanics. Before joining Facebook, Abhihit was the Managing Director of Data Science for JP Morgan's Digital Organization. He’s also worked for IBM, Google, and American Express. Abhijit and his wife live in New Jersey with their 6-year-old twins and their family pet Eskie. When he’s not working, Abhijit enjoys spending time volunteering with his family at their local animal shelter, as well as hiking and touring state parks.
Rami Krispin
Rami Krispin is a data scientist manager at a major tech company, where he focuses on time-series analysis and forecasting. He is the author of the book “Hands-On Time Series Analysis with R: Perform time series analysis and forecasting using R.” In addition, he develops open-source tools and is the author of several R packages, including the TSstudio package for time series analysis and forecasting. Rami holds an MA in Applied Economics and an MS in actuarial mathematics from the University of Michigan-Ann Arbor.
Victor Storchan
Victor Storchan is a Vice President and AI/ML lead at AIX core services. His main focus is on emerging challenges of developing fair, explainable, and ethical AI Solutions in Financial Services. He delivers scalable machine learning products to transform the banking industry. For two years, he has been working in a highly skilled team that has been transforming the internal JPMC ecosystem by delivering AI & ML products to a diverse set of business lines. In addition, thought leadership is also at the heart of Victor's mission. Victor brings new ideas from research into products and by doing so, is also publishing at conferences like KDD, ICDAR, or ICAIF. He holds a Master's from ENS de Lyon in applied maths and a Master's in engineering from Stanford University.