Keynote Speakers

We are pleased to welcome four keynote speakers. See their biographies and information below.

Dr. Manuela Veloso, Ph.D

Head of AI Research at JPMorganChase and Herbert A. Simon University Professor Emerita in Computer Science at Carnegie Mellon University

Talk title: Humans and AI: The Journey for the Finance Domain

Manuela Veloso is Head of AI Research at JPMorganChase and Herbert A. Simon University Professor Emerita in Computer Science at Carnegie Mellon University. Veloso pursues research interests in core AI as AI robot and digital agents with perception, cognition, and action. She further aims at a seamless human-AI symbiotic interaction. Veloso is a member of the National Academy of Engineering for “her contributions to artificial intelligence and its applications to robotics and to the financial domain.” She is a past president of AAAI, and a co-founder of RoboCup. Veloso is a fellow of AAAI, IEEE, ACM, and AAAS. She has a BSc. and MSc. in Electrical and Computer Engineering from IST, an MA in Computer Science from BU, and a Ph.D. in Computer Science from CMU. Veloso has doctorate honorary degrees from the Catholic University of Portugal, University of Bordeaux, ISCTE, and University of Orebro. See http://www.cs.cmu.edu/~mmv for detailed information. 

Dr. Abhijit Bose, Ph.D

Senior Vice President at Capital One

Talk title: Perspectives on the Future of Gen AI in Financial Services

Abhijit Bose is Senior Vice President in Enterprise AI/ML Platforms & Engineering at Capital One. He leads the development, execution and strategy for enterprise AI/ML platforms and infrastructure at the company. He is also focused on building enterprise foundational Gen AI capabilities, such as LLM pre-training, fine-tuning, guardrails, RAG pattern, multi-agentic workflows etc, including a number of human-in-the-loop applications in various stages of development.

Before joining Capital One in 2020, Abhijit was with Facebook AI Research as their East Coast Head of Engineering, working on large-scale graph neural networks, early transformer models and computer vision. Abhijit also held various roles at JP Morgan, IBM TJ Watson Research, Google, and American Express. He is credited with approximately 3500 citations on his research publications and holds more than 30 patents.

Abhijit holds an MS and Ph.D in Computer Science from the University of Michigan, Ann Arbor. He also holds a Ph.D in Engineering Mechanics with a specialization in High Performance Computing (HPC) from the University of Texas at Austin.

Dr. Qiang Yang, Ph.D

Chief Artificial Intelligence Officer of WeBank and Professor Emeritus of Hong Kong University of Science and Technology

Talk title: Integrating Federated Learning and LLM with Application to Finance

Qiang Yang is the Chief Artificial Intelligence Officer of WeBank and Professor Emeritus of Hong Kong University of Science and Technology. He is a fellow of AAAI, ACM, IEEE, AAAS and a member of Canadian Academy of Engineering (CAE) and Royal Society of Canada (RSC). His research interests include transfer learning and federated learning. He is the founding EiC of two journals: IEEE Transactions on Big Data and ACM Transactions on Intelligent Systems and Technology. He has been a conference or program chair for IJCAI, AAAI and ACM SIGKDD, and has received Distinguished Service Awards from IJCAI and ACM SIGKDD. His latest books are Transfer Learning, Federated Learning, Privacy-preserving Computing and Practicing Federated Learning. His publications have been cited over 130,000 times, according to Google Scholar.