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\title{We are Drs. Michael Hansen and Andrew Arai, researchers from the NIH. We
study cardiac MRI among other things. We are supporting new forms of
scientific computing via the Data Science Bowl with Dr. Roman Salasznyk
and Booz Allen Hamilton}



\author[1]{Data_Science_Bowl }%
\author[1]{r/Science AMAs}%
\affil[1]{Affiliation not available}%


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  \date{April 24, 2026}


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\begin{abstract}
I (Michael Hansen) am a biomedical engineer at the National Heart, Lung,
and Blood Institute (NHLBI). I focus on fast magnetic resonance imaging
(MRI) techniques for real-time imaging and interventional procedures,
particularly fast pulse sequences, non-Cartesian imaging, real-time
reconstruction, GPU based reconstruction, and motion correction. Andrew
Arai - I am a cardiologist and I am the Director of the Advanced
Cardiovascular Imaging Laboratory for the National Heart, Lung and Blood
Institute. My primary clinical and research interests center around
coronary artery disease, the condition that leads to heart attacks and
is one of the leading causes of death worldwide. For the 21 years I have
been at the NIH, I have been helping develop and validate MRI methods
useful to diagnosing and evaluating patients with coronary artery
disease. We run a busy clinical program and perform over 1000 cardiac
MRI scans per year. Roman Salasznyk - I am a Principal in Booz Allen's
Strategic Innovation Group with over 13 years of experience in
biomedical research, medical product development, and general management
consulting. I manage a multidisciplinary team that supports initiatives
aimed to expedite medical product innovation and approvals, enhance
regulatory decision-making processes, and strengthen surveillance and
compliance operations for Federal health clients. The three of us, and
our respective organizations, have collaborated on an exciting
crowd-sourced collaboration, the the Data Science Bowl on kaggle. By
putting data science to work in the cardiology field, we can empower
doctors to help people live longer and spend more time with those that
they love. Dr. Salasznyk: On behalf of the Data Science team at Booz
Allen, thank you for your interest in the Data Science Bowl and this
year's heart health-focused challenge. To learn more about this year's
competition or to submit your ideas on next year's Data Science Bowl
challenge----a problem with the potential to change the world--visit our
web site: datasciencebowl.com Dr Hansen here: Thank you for the great
questions. They really covered a wide range of cardiology, technology,
and engineering. I hope questions and answers will inspire data
scientists, engineers, and physicians to get involved in cardiac MRI
research. There are many unsolved problems with potential impact in
patient lives. Dr. Arai here -- Thank you all for your interesting
questions. It was hard to predict how many people would submit questions
and comments. It was nice to see the breadth of both technical and
clinical questions. It is hard to pick a favorite but hearing about long
term survivors with cancer and congenital heart disease are heartening.
Many of the technical questions about speed and comfort of MRI relate to
research being performed at NIH and many other institutions around the
world. Faster imaging that does not rely on breath holds is a major
direction for the future. Better quality imaging hopefully will continue
to improve patient outcomes. Edit: Adding link to the Data Science Bowl
site and competition page.%
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