Tammy DiPrima
Supervising Programmer Analyst
Department of Biomedical Informatics
HSC L3-119
Stony Brook University
Stony Brook, NY 11794
tammy.diprima@stonybrook.edu
Interests
Biomedical Informatics • Cybersecurity & DevSecOps • Secure Software Development • Data Integration & Analytics • Artificial Intelligence
Biography
Tammy is a Senior Programmer Analyst in the Department of Biomedical Informatics at Stony Brook University, where she develops and supports web-based applications, data systems, and backend infrastructure supporting the department's research and operational needs. Her work spans full-stack development, systems integration, automation, Linux server administration, security, and DevSecOps, with a focus on building reliable, secure, and maintainable technology solutions.
Prior to her current role, she served as a programmer and data analyst for the Division of Applied Informatics. She has presented at national conferences on semantic web technologies and has extensive experience working at the intersection of software development, data, systems, and information technology.
Tammy holds a BBA in Business Management from Dowling College, studied computer science at Briarcliffe College, and holds the CompTIA Security+ certification. She continues to expand her expertise in cybersecurity, secure software development, Linux systems, and emerging technologies.
Selected References
- Bremer E, DiPrima T, Balsamo J, Almeida JS, Gupta R, Saltz J. Halcyon -- a pathology imaging and feature analysis and management system. arXiv. Preprint posted online April 7, 2023. doi:10.48550/arxiv.2304.10612.
- Foran DJ, Durbin EB, Chen W, Sadimin E, Sharma A, Banerjee I, et al. An expandable informatics framework for enhancing central cancer registries with digital pathology specimens, computational imaging tools, and advanced mining capabilities. Journal of Pathology Informatics. 2022;13:5. doi:10.4103/jpi.jpi_31_21.
- Kurç T, Sharma A, Gupta R, Hou L, Le H, Abousamra S, et al. From whole slide tissues to knowledge: Mapping sub-cellular morphology of cancer. In: Lecture notes in computer science. 2020:371-379. doi:10.1007/978-3-030-46643-5_37.
- Saltz J, Sharma A, Iyer G, Bremer E, Wang F, Jasniewski A, et al. A containerized software system for generation, management, and exploration of features from whole slide tissue images. Cancer Research. 2017;77(21):e79-e82. doi:10.1158/0008-5472.can-17-0316.
- Saltz J, Almeida J, Gao Y, Sharma A, Bremer E, DiPrima T, et al. Towards generation, management, and exploration of combined radiomics and pathomics datasets for cancer research. AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science. 2017;2017:85-94. PMID 28815113.
- Gao Y, Ratner V, Zhu L, DiPrima T, Kurc T, Tannenbaum A, et al. Hierarchical nucleus segmentation in digital pathology images. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2016;9791:979117. doi:10.1117/12.2217029.
Publications