Jakub Kaczmarzyk
Education:
B.S. Union College (2016)
Current Position:
5th Year MSTP
3rd Year Graduate Student
Advisor:
Joel Saltz
Graduate Program:
BMI
Research Interest:
I am interested in the applications of artificial intelligence and machine learning in medicine. My previous research focused on computer vision in magnetic resonance imaging, with projects in automatic brain tumor labeling and automatic labeling of the healthy human brain in three dimensions. In the future, I hope to develop clinical software tools that detect disease early, aid in diagnosis, and/or predict patient outcomes. You can find my code online at https://github.com/kaczmarj.
Publications:
McClure, P., Rho, N., Lee, J.A., Kaczmarzyk, J.R., Zheng, C., Ghosh, S.S., Nielson, D., Thomas, A., Bandettini, P. and Pereira, F., 2018. Knowing what you know in brain segmentation using deep neural networks. In submission. arXiv preprint arXiv:1812.01719.
Guell, X., Goncalves, M., Kaczmarzyk, J.R., Gabrieli, J.D., Schmahmann, J.D. and Ghosh, S.S., 2019. LittleBrain: A gradient-based tool for the topographical interpretation of cerebellar neuroimaging findings. PloS one, 14(1), p.e0210028.
Kennedy, D.N., Abraham, S.A., Bates, J.F., Ghosh, S.S., Gillespie, T.H., Goncalves, M., Grethe, J.S., Halchenko, Y.O., Hanke, M., Haselgrove, C., Hodge, S.M., Jarecka, D.J., Kaczmarzyk, J.R., et al. 2019. Everything matters: the repronim perspective on reproducible neuroimaging. Frontiers in neuroinformatics, 13, p.1.
McClure, P., Zheng, C.Y., Kaczmarzyk, J., Rogers-Lee, J., Ghosh, S., Nielson, D., Bandettini, P.A. and Pereira, F., 2018. Distributed weight consolidation: A brain segmentation case study. Advances in Neural Information Processing Systems (pp. 4093-4103).
Okano, K., Kaczmarzyk, J.R. and Gabrieli, J.D., 2018. Enhancing workplace digital learning by use of the science of learning. PloS one, 13(10), p.e0206250.
Hoffman, A.F., Lycas, M.D., Kaczmarzyk, J.R., Spivak, C.E., Baumann, M.H. and Lupica, C.R., 2017. Disruption of hippocampal synaptic transmission and long‐term potentiation by psychoactive synthetic cannabinoid ‘Spice’ compounds: comparison with Δ9‐tetrahydrocannabinol. Addiction biology, 22(2), pp.390-399.
Santoro, G.C., Shukla, S., Patel, K., Kaczmarzyk, J., Agorastos, S., Scherrer, S., Choi, Y.Y., Veith, C., Carrion, J., Silverman, R. and Mullin, D., 2016. A Novel Strategy for Attenuating Opioid Withdrawal in Neonates. Journal of addiction research & therapy, 7(4).
