Reza Khorshidi

Chief Scientist, Global

Investments AI

AIG

Reza is currently the Chief Scientist at AIG (leading the company's global machine learning research and AI-first product development), as well as a principal investigator at Deep Medicine program at the University of Oxford's Martin School (focused on AI in digital health ecosystems). He obtained his DPhil (i.e., PhD) in computational neuroscience and machine learning from the University of Oxford in 2010, and since then has been leading teams, research initiatives, and large-scale international projects both in academia and industries such as healthcare and financial services.

Reza's team at AIG (i.e., Investments AI: a group of machine learning scientists, engineers, designers, product managers, and strategy experts) is primarily focused on the development of AI-first products: apps and software services that employ machine learning to inform and assist their users. Such software products provide both AIG’s asset management (with near $350B AUM) and insurance arms with strategic differentiation in the market through the power of AI and design. Reza’s main research interests are population health, biomedical informatics, medical imaging, statistical machine learning, and deep sequence models.