Florida Business Analytics Forum

Speakers

Hugo Aerts, who will discuss artificial intelligence and medicine. Aerts is one of the leaders in this field, serves on the faculty of Harvard Medical School and is the director of the, Program for Artificial Intelligence in Medicine at Brigham and Women's Hospital. His research focuses on the development and application of novel artificial intelligence approaches – deep learning in particular – for personalized medicine by integrating and analyzing medical imaging, pathology and genomic data. His interest in the field grew with the technological advances in AI that have the potential to transform the diagnosis and treatment of diseases, including relevant solutions that can improve cancer care worldwide.

Chip Huyen, who will talk about “MLOps”, a subset of ModelOps, which is a practice of collaboration and communication between data scientists and operations professionals to help manage machine-learning lifecycles in a production environment. She is a graduate of Stanford University where she teaches machine-learning systems designs. She also is a social media star in the field of analytics. Her work brings machine learning into production, working through Snorkel AI, NVIDIA, Netflix and Primer. She has helped some of the world’s largest organizations develop and deploy machine-learning systems. LinkedIn recognizes Huyen as being among the “Top Voices in Software Development” in 2019 and the “Top Voices in Data Science & AI” in 2020.

Ziad Obermeyer, who will talk about racial bias in health, as he has conducted nationally recognized research in this area. He is the Blue Cross of California Distinguished Associate Professor of Health Policy and Management at the University of California Berkeley’s School of Health. There, Obermeyer focuses his research on the intersection of machine learning, medicine and health policy. He previously was an assistant professor at Harvard Medical School, where he received the Early Independence Award, the National Institutes of Health’s most prestigious award for exceptional junior scientists. He continues to practice emergency medicine in underserved parts of the United States. Prior to his career in medicine, he worked as a consultant to pharmaceutical and global health clients at McKinsey & Co. in New Jersey, Geneva and Tokyo.

Luz Rello, who will discuss artificial intelligence and machine learning in dyslexia. Herself a dyslexic, Rello has done some innovative research to detect dyslexia early in children by using machine learning. She is the founder of Change Dyslexia, a social organization to screen and treat dyslexia, and assistant professor in the Department of Information Systems and Technology at IE Business School at IE University in Spain. Rello’s research Interests include e-health, dyslexia, linguistics, human/computer interaction, web accessibility, natural language processing and education. She is the author of “Overcome Dyslexia, A Personal Experience through Research.”