Fireside Chat with Shadab Khan - AI in Healthcare and Data Science Career Tips

Shadab leads a team of applied scientists and engineers at G42 to solve problems in healthcare AI. His team develops solutions for clinical care, healthcare operations, and healthcare finance by analyzing structured and unstructured datasets ranging from electronic health records, genomics, medical imaging, and claims, among others. Before joining G42 Healthcare, Shadab was a researcher at the Inception Institute of AI in UAE, where he focused on machine learning from limited data. Shadab obtained his Ph.D. from Dartmouth College in Biomedical Engineering and did a research fellowship at Harvard Medical School and Boston Children's Hospital in Radiology. In this fireside chat, we'll get to know more about his experiences and learnings while building AI systems in Healthcare. We first understand his motivation to work at the intersection of AI and Healthcare and then understand some of the problems he faced while building AI systems and how he overcame them. Towards the end, we will talk to him on some advice he would like to share with upcoming Data and AI scientists.