Episode 277: Shan Chen: AI Pathbreaker: Tales from the Crucible of Public Fund Innovation
Description
Shan Chen was until recently a portfolio manager focused on mostly private investments at the Arizona Public Safety Personnel Retirement System, where he spent over 17 years. He previously worked primarily within information technology and did research work in biochemistry. He has recently retired from the PSPRS and is focusing full time on developing AI solutions for investment management.
Our conversation traces his route into the investment world from his science background and his years of learning under the leadership of Mark Steed, CIO at the PSPRS, whose podcast we captured in July 2021.
We move then to the innovation in place at the PSPRS investment process including the development of more refined and reliable predictions and the embrace of machine learning. We examine the potential for this in the asset allocation function as well as how AI can assist allocators with getting through the sheer mass of information and documents that they face.
This is a self-aware retrospective by a member of the most forward thinking investment offices in the US public fund arena.
This podcast is kindly supported by GCM Grosvenor. GCM Grosvenor is a global alternative asset management firm with a longstanding commitment to supporting small, emerging, and diverse investment managers. For over 30 years, the firm has developed expertise in funding and guiding these managers as part of its broader activity across alternative investments.
With over $20 billion in AUM dedicated to small and emerging managers and $16 billion in AUM dedicated to diverse managers, GCM Grosvenor leverages its experienced team, broad network, and proprietary sourcing capabilities to support their success. Through the Small, Emerging, and Diverse Manager Program, the firm creates opportunities for investors to access a wide range of talent while seeking to drive strong returns and impact. For more information, visit www.gcmgrosvenor.com.
United States
