Meet the Team
Tom Osika
Senior R&D Engineer
Software and Data Solutions
Kitware New York
Clifton Park, NY
M.S. in Computer Science
Clarkson University
B.S. in Computer Science
Rensselaer Polytechnic Institute
Tom Osika joined Kitware in 2021 through the Open Source Technology Program (OSTP) and is a senior R&D engineer in Clifton Park, New York. His work focuses on build systems, open source development, and C++ software infrastructure. He contributes to CMake and helps customers adopt, integrate, and troubleshoot CMake and other build systems for complex software projects. He also works with customers on CI/CD workflows, dependency management, packaging, and related C++ infrastructure needs. His recent open source work includes improvements to CMake’s experimental software bill of materials (SBOM) infrastructure.
Over the course of his time at Kitware, Tom has worked across the company’s software solutions, scientific visualization, and medical computing teams. His contributions have included Python and C++ development in 3D Slicer, as well as computer vision and image-analysis research and software development.
Through Kitware’s OSTP program, Tom earned his M.S. in computer science from Clarkson University in 2022 while working across multiple technical teams at Kitware. His master’s thesis focused on HABET, an open source Python tool for benchmarking data harmonization methods across neuroimaging datasets.
Tom graduated from Rensselaer Polytechnic Institute with a B.S. in computer science in December 2019. At Rensselaer, he participated in health economics research examining the effects of the Affordable Care Act on physician patient-sharing networks and prescription drug practices using publicly available data. He also studied data mining, network science, and software development.
Publications
- B. Moore, T. Osika, S. Satterly, S. Shah, T. Thirion, S. Hampton, S. Aylward, and S. Montgomery, "Evaluation of commercially available point-of-care ultrasound for automated optic nerve sheath measurement," The Ultrasound Journal, vol. 15, no. 1, pp. 33, Aug. 2023. [URL]
- T. Osika, E. Ebrahim, M. Styner, M. Niethammer, T. Sawyer, and A. Enquobahrie, "Harmonization Benchmarking Tool for Neuroimaging Datasets," 2022. [URL]
- U. Ayachit, A. Bauer, B. Boeckel, B. Geveci, K. Moreland, P. O’Leary, and T. Osika, "Catalyst Revised: Rethinking the ParaView in Situ Analysis and Visualization API," in High Performance Computing. Springer International Publishing, 2021, pp. 484-494. [URL]
