Jonathan Tamir
Research Interests
Publications
Implicit data crimes: Machine learning bias arising from misuse of public data
Proceedings of the National Academy of Sciences / Mar 21, 2022
Shimron, E., Tamir, J. I., Wang, K., & Lustig, M. (2022). Implicit data crimes: Machine learning bias arising from misuse of public data. Proceedings of the National Academy of Sciences, 119(13). https://doi.org/10.1073/pnas.2117203119
Joint High-Dimensional Soft Bit Estimation and Quantization using Deep Learning
Feb 03, 2022
Arvinte, M., Vishwanath, S., Tewfik, A. H., & Tamir, J. I. (2022). Joint High-Dimensional Soft Bit Estimation and Quantization using Deep Learning. https://doi.org/10.21203/rs.3.rs-1304406/v1
Computational MRI With Physics-Based Constraints: Application to Multicontrast and Quantitative Imaging
IEEE Signal Processing Magazine / Jan 01, 2020
Tamir, J. I., Ong, F., Anand, S., Karasan, E., Wang, K., & Lustig, M. (2020). Computational MRI With Physics-Based Constraints: Application to Multicontrast and Quantitative Imaging. IEEE Signal Processing Magazine, 37(1), 94–104. https://doi.org/10.1109/msp.2019.2940062
Memory-Efficient Learning for Large-Scale Computational Imaging
IEEE Transactions on Computational Imaging / Jan 01, 2020
Kellman, M., Zhang, K., Markley, E., Tamir, J., Bostan, E., Lustig, M., & Waller, L. (2020). Memory-Efficient Learning for Large-Scale Computational Imaging. IEEE Transactions on Computational Imaging, 6, 1403–1414. https://doi.org/10.1109/tci.2020.3025735
Targeted rapid knee MRI exam using T 2 shuffling
Journal of Magnetic Resonance Imaging / Jan 13, 2019
Tamir, J. I., Taviani, V., Alley, M. T., Perkins, B. C., Hart, L., O’Brien, K., Wishah, F., Sandberg, J. K., Anderson, M. J., Turek, J. S., Willke, T. L., Lustig, M., & Vasanawala, S. S. (2019). Targeted rapid knee MRI exam using T 2 shuffling. Journal of Magnetic Resonance Imaging, 49(7), e195–e204. Portico. https://doi.org/10.1002/jmri.26600
Education
University of California Berkeley Department of Electrical Engineering and Computer Sciences
PhD / August, 2018
Experience
The University of Texas at Austin
Assistant Professor / January, 2020 — Present
University of California Berkeley Department of Electrical Engineering and Computer Sciences
Research Associate Engineer / August, 2018 — December, 2019
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