Ahmed Fadiel

Biography:

Dr. Fadiel possesses extensive academic and professional experience, having earned a dual master’s degree in Comparative Effectiveness, Clinical Investigation, and Clinical Informatics (MSCI-CEIR) from New York University School of Medicine and a PhD in genetics through a bi-national joint program in Egypt with Yale University. With additional training in molecular biology, database design, computational biology, and advanced statistics, he has over 25 years of experience in computer systems, particularly UNIX and Linux. Dr. Fadiel has held various positions at prestigious institutions, including managing informatics platforms at the University of Toronto and Yale University. He has also been a faculty member at several universities, chairing and co-chairing numerous workshops and international meetings.  Research Interests: Dr. Fadiel's research interests lie in computational oncology, bioinformatics, biomarker discovery, machine learning (ML), artificial intelligence (AI), and big data management. Collaborating with the University of Chicago Center for Research Informatics (CRI), he aims to develop a unified data sharing, management, and analysis system. His current projects involve developing novel combinatorial algorithms for cancer biomarker discovery, analyzing omics data to understand disease progression, identifying biomarkers for immunotherapy outcomes in ovarian cancer, and creating automated omics analysis platforms with advanced data analysis tools.