Daniel W. Byrne

Daniel William Byrne is an Artificial Intelligence in medicine consultant with Byrne Research. Previously he was a biostatistician and faculty member at Vanderbilt University in Nashville, TN, where he worked in the Advanced Vanderbilt Artificial Intelligence Laboratory (AVAIL). He has received multiple awards for his teaching, research and publications. His first book is “Publishing Your Medical Research”. His second book is now available: "Artificial Intelligence for Improved Patient Outcomes - Principles for Moving Forward with Rigorous Science."

Dan Byrne was born in Brooklyn, New York but grew up in Millbrook, New York a small town about two hours north of the city. He earned a Bachelor’s degree from the State University of New York at Albany, where he met his wife, Loretta. They moved to Manhattan and both earned Master’s degrees (his in Biostatistics, hers in Nursing). Dan worked at New York Medical College for 6 years and then started a biostatistical consulting business in Ridgefield, CT. After publishing his book “Publishing Your Medical Research Paper” Dan was offered a faculty position at Vanderbilt University, where he has worked since 1999. His current focus is on real-time predictive modeling to focus hospital resources to improve patient outcomes.

He is an internationally recognized predictive analytics expert with over four decades experience in healthcare risk modeling to improve patient outcomes. His research lies at the intersection of next generation artificial intelligence in healthcare, machine learning, predictive modeling, big data analytics, precision medicine, and EHR data mining.