Learn about precision medicine and AI as it relates to IVF, examining the question: when AI meets IVF, can we improve the chance of live birth and have healthier babies? Utilizing expertise in human genome characterization and deep learning image classification in IVF, this lecture will outline how AI can help embryologists select the healthiest, highest quality euploid embryos for improving IVF outcomes.
Iman Hajirasouliha is currently an associate professor of computational genomics at Weill Cornell Medicine. Dr. Hajirasouliha has received a Ph.D. from Simon Fraser University, was a Postdoctoral fellow at Stanford University, and a Simons Research Fellow at the University of California Berkeley. Dr. Hajirasouliha focuses on developing new algorithms and machine learning techniques and their applications to genomics, biomedicine, and In Vitro Fertilization. Dr. Hajirasouliha enjoys hiking, snowboarding, and spending time in the mountains in his free time.