Over 110 students have graduated from the Department of Biomedical Informatics (25+ PhD, 50+ MS, 25+ Certificate). The diversity of careers available to DBMI alumnus is evident in their biographies. Many of our graduates are teaching and performing research in academic institutions, such as Vanderbilt University, Arizona State University, and New York University while others have entered private industry with companies such as Cerner Corporation and Boston Scientific; some have positions in government agencies, such as the NIH and AHRQ, while others are at major medical centers, serving in roles such as Chief Medical Information Officer. We maintain a database of the career paths of our graduates. If you are an alumnus, please contact us if you would like to submit or update information!
Personal Statement about time at DBMI.
I initially joined DBMI as a Master’s student coming from a pediatric imaging background, looking to strengthen my computational and clinical translational research skills. I enjoyed my time so much that I continued on to receive my PhD at DBMI. My time at DBMI has been the most productive and developmentally enriching period of my academic life. The classes, mentorship, and environment at DBMI truly prepared me for the challenges of translating imaging informatics projects into real world clinical translational applications. The DBMI faculty, staff, and students are undoubtedly the most encouraging, welcoming, and collaborative group I have ever had the pleasure of being a part of. I continue to collaborate with the DBMI family, and the direction and growth of the department continues to amaze me every day.
2018 – Best Student Paper of the Year, Department of Biomedical Informatics
Paper: A Computational Framework for the Detection of Subcortical Brain Dysmaturation in Neonatal MRI using 3D Convolutional Neural Networks.NeuroImage, 2018 Sep;178(May):183-197
2018 – Doctoral Dissertation Award, Department of Biomedical Informatics, University of Pittsburgh School of Medicine
2015 – Best Student Paper of the Year, Department of Biomedical Informatics
Paper: sfDM: Open Source Software for Temporal Analysis and Visualization of Brain Tumor Diffusion MR Using Serial Functional Diffusion Mapping. Cancer Informatics, 2015 Feb 1;14(Suppl 2):1-9. doi: 10.4137.
 Daryaneh Badaly, Vince K Lee, Rafael Ceschin, Cecilia Lo, Shahida Sulaiman, Alexandria Zahner,
Cheryl Burns, Sue Beers, and Ashok Panigrahy. Cerebellar and Prefrontal Structures Associated with
Executive Functioning in Children and Adolescents with Congenital Heart Defects. In Annual Meeting
of the International Neuropsychological Society, page 3056978, 2019.
 Benjamin Meyers, Vincent K Lee, Lauren Dennis, Ashok Panigrahy, and Rafael Ceschin. Diffusion
Imaging of Neonates by Group Organization (DINGO): Cohort Analysis of Neonatal DTI. In Annual
Meeting of the Organization for Human Brain Mapping2, page 5344, 2019.
 A El-Ali, V Rajagopalan, J Adibi, K Vani, A Zahner, V Lee, R Ceschin, M Gruss, V Schmithorst,
and A Panigrahy. BOLD MR imaging of placenta in congenital heart disease: initial experience.
Society of Pediatric Radiology Annual Meeting & Categorical Course, 2017.
 R Ceschin, A Zahner, N Beluk, C W Lo, J F Watchko, and A Panigrahy. Reduced Cerebellar
Volume in Term Infants with Complex Congenital Heart Disease: Correlation with Postnatal Growth
Measurements. Pediatric Academic Societies Meeting, 2016.
 S Sulaiman, V Lee, R Ceschin, C W Lo, and A Panigrahy. Cerebellar Influence on Cortical Structures
and Cognitive Outcomes in Children with Congenital Heart Disease. Pediatric Academic Societies
 V Lee, M DeBrunner, J A Johnson, J Votava-Smith, V Rajagopalan, R Ceschin, M Gruss, F S
Sherman, and A Panigrahy. Disrupted resting state brain connectivity in fetal complex congenital
heart disease. International Society for Magnetic Resonance in Medicine, 2015.
 V Schmithorst, V Lee, L Paquette, S Sulaiman, J Votava-Smith, R Ceschin, and A Panigrahy.
White matter microstructure and structural topology differences in neonatal congenital heart disease.
Organization for Human Brain Mapping annual meeting, 2015.