Todd Hudson is a 3rd year medical student at the Medical University of South Carolina, where he served as the institution's first Division of Plastic and Reconstructive Surgery research fellow. His primary research interests include tissue engineering, peripheral nerve regeneration, and the application of artificial intelligence and machine learning in the field of plastic and reconstructive surgery. His previous work in the clinical realm focused primarily on machine learning algorithms for coronary artery calcium scoring as well as large-scale randomized controlled trials including the HeartFlow Prospective Randomized Trial of the Optimal Evaluation of Cardiac Symptoms and Revascularization (PRECISE), where he played a pivotal role study start-up, site initation, and enrollment at his home institution. Prior to medical school, he performed bench research in the Skeletal Research Center and Department of Genetics and Genome Sciences at the Case Western Reserve University School of Medicine investigating transcription factors, long non-coding RNAs, and microRNAs as drivers of bone marrow mesenchymal stem cell chondrogenesis with the objective of engineering a native-like articular cartilage to meet the clinical needs of the many patients suffering from osteoarthritis and cartilage injury. To date, his research has been cited in 190 publications.