Dr. Feng is currently a research assistant professor at Tulane University School of Medicine. His expertise has been primarily developed in EHR data analysis, statistical learning, machine learning, and objective data analysis with applications in cardiovascular diseases and digital health, especially in the field related to atrial fibrillation. With more than six years of experience in data analysis, he has acquired solid skills in both artificial intelligence and statistics with accumulated projects dealing with various kinds of data in real-world including three clinical trials, the DECAAF II study, the mo-BETTA study, and the MACS study, and different large databases such as UK Biobank, Cerner, and ReachNET databases. He has collaborated with a large number of biomedical/clinical investigators with 50+ peer-reviewed publications.