Industry Speakers
Dr. Jochen Papenbrock
Head of Financial Technology - EMEA, NVIDIA
Dr. Jochen is head of financial technology EMEA / lead developer relations manager banking global at NVIDIA, the globally leading accelerated computing platform company. He has spent the last 25 years in various roles on the topic of AI in financial services. He works with executives, data scientists, developers, and partners in the global NVIDIA ecosystem. Jochen is a financial data scientist and received his degree and Ph.D. from the Karlsruhe Institute of Technology (KIT). Before NVIDIA he worked as a consultant, entrepreneur, and researcher with asset managers, banks, insurance companies, and central banks.
Gaby Marano
Industry Director for Capital Markets, Microsoft
Gaby Marano is the Industry Director for Capital Markets at Microsoft. She partners with global financial firms to leverage the power of Microsoft's full-stack, next-gen ecosystem to tackle some of the industry's most pressing opportunities for innovation. Before this role, she spent 10 years at JPMorgan Chase leading Data & AI initiatives firm-wide and most recently served as Co-Head of Product Management for JPMorgan's Machine Learning Center of Excellence (MLCOE). Throughout her career, she's led cross-functional teams across the development lifecycle from ideation to business impact, paving the way for more AI-centric operating models. Her experience includes emerging technologies such as multi-cloud, hyper scale computing, natural language processing, large language models, recommendation engines, neural networks, knowledge graphs, speech recognition, and reinforcement learning.
Dr Miquel Noguer i Alonso
Founder, Artificial Intelligence Finance Institute (AIFI)
Dr. Miquel Noguer i Alonso is a prominent finance expert and the Founder of the Artificial Intelligence Finance Institute (AIFI), where he integrates cutting-edge AI and machine learning into financial practices. With over 30 years of experience in asset management, he has held key positions including Executive Director at UBS AG and Chief Investment Officer at Andbank. Dr. Noguer earned his MBA from ESADE Business School and a Ph.D. in quantitative finance from UNED, where he graduated Summa Cum Laude. He has served as a Visiting Scholar at NYU Courant Institute and an Adjunct Professor at Columbia University, pioneering courses on fintech and big data. An influential figure in the field, he is also involved with various advisory boards and serves as Deputy Editor for The Journal of Machine Learning for Finance, contributing to the advancement of AI applications in finance.
Harry Mendell
AI Architect / Artificial Intelligence Co-chair Innovation Roundtable, Federal Reserve Bank of New York
Harry Mendell specializes in artificial intelligence and enterprise data architecture and is designing innovative solutions combining these disciplines for the Federal Reserve. He is in the Enterprise Architecture Group and is also co-chairman of the AI Innovation Roundtable which helps to promote the use of safe AI and machine learning throughout the system. Harry has a BS and MS in Computer Science from the University of Pennsylvania. His thesis was on artificial intelligence and computer vision. He then worked at Bell Labs with the original Unix team to design the first Unix-based workstation. He then joined the financial sector focusing first on the pricing and trading of equity and credit derivatives and later on risk management and compliance. The re-emergence of AI and NLP around 2012 led Harry back to his original interests in these areas and he formed a startup to research and develop semantic search and AI/ML applications in FinTech which included financial compliance tools. Realizing that the opportunity to detect risk and seeing the larger picture of transforming the way we process data and make decisions was too large and too important for a startup, he decided to take a more direct route introducing these ideas at the Federal Reserve.
Shivendra Pandey
AI/ML Engineering Manager, Trustly
Shivendra leads the AI/ML engineering team at Trustly, focusing on the risk and fraud mitigation for online payments, for the North American market. He specializes in both orchestrating and scaling AI/ML systems and processes, especially in the finance sector. Previously, he led the Risk & Fraud mitigation engineering efforts at the Vanguard Group, in his role as their Principal Machine Learning Engineer. He holds a Masters in Data Science from UPenn.
Dr. Subhabrata Das
Vice President Asset Management, JPMorgan Chase & Co.
Dr. Subhabrata Das is a distinguished data scientist with a strong background in computational physics. He holds a Ph.D. in Engineering Physics from Columbia University and a Master's degree from Cornell University. Currently serving as the Lead Data Scientist at JPMorgan Chase, Dr. Das focuses on optimizing client onboarding processes through data-driven solutions.
With a diverse career spanning across tech giants and financial institutions, Dr. Das has held key positions at Microsoft, Ally Financial, etc. His expertise encompasses a wide range of data science applications, including outage prediction, fraud detection, language translation automation, and Monte Carlo simulations.
As a thought leader in data science, Dr. Das regularly contributes to industry conferences and academic journals, advancing the field of analytics and decision-making in the financial sector. His innovative approach and technical prowess continue to shape the future of data science.
For more info: https://sites.google.com/view/subhabratadasphd/home