Jeffrey Tran, MD is a clinical cardiology fellow, data scientist, and early career investigator, who has a background in statistics and econometrics. His primary clinical interest is structural/interventional cardiology, while his primary research interest is how healthcare data can be used better, particularly leveraging the electronic health record (EHR) to power clinical decision support tools and to facilitate quasi-randomized study designs. Dr. Tran recently completed a T32 year, which he spent building a data pipeline from my institution's EHR to his data lab.
Outside of work, he is a Los Angeles/California native adjusting to Tucson desert life. He lives with his loving wife, whom he absolutely adores and would be quite lost without. On my free time, he enjoys cycling, snowboarding, and most recently, hitting golf balls everywhere except where he intends them to go.
Dr. Jeffrey Tran is a clinical cardiology fellow, data scientist, and early career investigator, who has a background in statistics and econometrics. His primary clinical interest is structural/interventional cardiology, while his primary research interest is how health care data can be used better, particularly leveraging the electronic health record (EHR) to power clinical decision support tools and to facilitate quasi-randomized study designs. Dr. Tran recently completed a T32 year, which he spent building a data pipeline from his institution's EHR to his data lab.
Outside of work, he is a Los Angeles/California native adjusting to Tucson desert life. He lives with his loving wife, whom he absolutely adores and would be quite lost without. On his my free time, he enjoys cycling, snowboarding, and most recently, hitting golf balls everywhere except where he intends them to go.
About the University of Arizona Cardiovascular Disease Fellowship Program
"There’s an overall sense of innovation here. People are really open to new ideas and want to get stuff done. Currently, pulling data from an EHR is too slow and doesn’t make sense. My research will develop a way to funnel information out of the EHR into a data base to make data more friendly to research. What I most like on the clinical side is the faculty’s passion for what they do. This trickles down to the amount of technology innovations and devices. All these tools are at the tips of our fingers. This all opens up my view as a trainee as to what is possible. I want to merge my clinical and research careers. The T32 setting here has really set me up for success. I feel so supported here as a first-year fellow."