Ken Zhang
Distinguished Engineer, global lead of Data Science and Engineering within Research Technology @Morgan Stanley
Ken Zhang is a Distinguished Engineer and the global lead of Data Science and Engineering within Research Technology at Morgan Stanley. He is responsible for driving AI/ML related initiatives for Research by leveraging cutting edge techniques such as machine learning, deep learning, natural language processing, and Large Language Models / Generative AI. With his team, Ken has created over 20 AI/ML products for Morgan Stanley Research and external clients.
Ken has been granted three patents in the last three years, and his work has been used in over 30 Morgan Stanley Research reports, with readership of over 170k.
Ken actively shares his AI/ML knowledge in various internal and external events, conferences, summits, and client facing meetings. His contributions and influence span across the Firm as a noted expert in the field of AI/ML, and passionate about his work and sharing knowledge.
He joined Morgan Stanley in 2017 and has 25 years of professional experience across multiple industries including banking, academia, and healthcare. He has a PhD in Mathematics from Rutgers University and is an adjunct professor for Financial Engineering at New York University.
Session
An Innovative Hybrid Rag Solution for Boosting the Performance of an AI Assistant in Finance
Retrieval Augmented Generation (RAG) is a key technique in various generative AI applications, such as chatbots or AI assistants, for retrieving information from a massive corpus and generating comprehensive answers.