Bio

I’m Jin, a Ph.D. candidate in Bioengineering at the University of Pittsburgh, specializing in RF simulation, MRI hardware design, and neuroimaging. My research focuses on the development of advanced RF head coils for ultra-high field (7T) MRI, including the design, simulation, and manufacturing of multi-nuclear (¹H/³¹P) coil systems aimed at improving structural and metabolic imaging of the human brain.

Before beginning my Ph.D., I worked as a research engineer at the Child Mind Institute, where I helped develop the Configurable Pipeline for the Analysis of Connectomes (C-PAC), an open-source platform for fMRI preprocessing and analysis. My work there involved integrating neuroimaging toolkits, building reproducible workflows, and developing data visualization interfaces for brain imaging research.

My interdisciplinary background spans electromagnetic simulation, MRI coil prototyping, neuroimaging analysis, and software development. I am passionate about applying technical innovation to biomedical challenges, particularly in medical imaging, RF systems, and brain-computer interface technologies. I’m currently seeking industry roles where I can contribute to the development of advanced healthcare technologies.

[GitHub] [LinkedIn] [GoogleScholar]

Hardware & Simulation

• Designed RF head coils for 7T MRI (¹H/³¹P)
• Simulated and optimized electromagnetic fields
• Manufactured MRI coils

Software & Analysis

• Developed fMRI preprocessing software C-PAC, integrating neuroimaging packages and maintaining UI and visualization tools for analysis workflows
• Preprocessed MRI data including T1w, T2w, SWI, and other modalities for research studies

Tools & Skills

• Computer Skills: MATLAB, Python, Shell, C, Docker, Singularity, AWS
• Neuroimaging Tools: ANTs, AFNI, FSL, FreeSurfer, Nipype, Nilearn
• Languages: Korean(native), Chinese(native)

Awards

• 1st Place in the Trainee Abstract Competition, MR Engineering Study Group, ISMRM Annual Meeting, 2025
• Above and Beyond Staff Award, Child Mind Institute, 2021
• News: https://news.engineering.pitt.edu/hecheng-jin-wins-first-place-poster-award-at-international-mri-conference/

Publications and Preprints

Chen, C. L., Son, S. J., Schweitzer, N., Jin, H., Li, J., Wang, L., … & Mayo Clinic Study of Aging. (2025). Periventricular diffusivity reflects APOE ε4–modulated amyloid accumulation and cognitive impairment in the Alzheimer’s disease continuum. Alzheimer’s & Dementia, 21(9), e70659. https://doi.org/10.1002/alz.70659

Sajewski, A. N., Santini, T., DeFranco, A., Berardinelli, J., Jin, H., Li, J., … & Ibrahim, T. S. (2025). RF shimming strategy for an open 60‐channel RF transmit 7T MRI head coil for routine use on the single transmit mode. Magnetic Resonance in Medicine. https://doi.org/10.1002/mrm.30563

Liou, J. J., Li, J., Berardinelli, J., Jin, H., Santini, T., Noh, J., … & Kofler, J. K. (2025). Correlating hippocampal and amygdala volumes with neuropathological burden in Down syndrome and Alzheimer’s disease and related neurodegenerative pathologies using 7T postmortem MRI. Journal of Neuropathology & Experimental Neurology, 84(5), 364-378. https://doi.org/10.1093/jnen/nlaf010

Chen, C. L., Torbati, M. E., Minhas, D. S., Laymon, C. M., Hwang, S. J., Bilgel, M., … & Tudorascu, D. L. (2024). Superpixel-ComBat modeling: A joint approach for harmonization and characterization of inter-scanner variability in T1-weighted images. Imaging Neuroscience, 2, 1-21. https://doi.org/10.1162/imag_a_00306

Li, X., Bianchini Esper, N., Ai, L., Giavasis, S., Jin, H., Feczko, E., … & Milham, M. P. (2024). Moving beyond processing-and analysis-related variation in resting-state functional brain imaging. Nature human behaviour, 8(10), 2003-2017. https://doi.org/10.1038/s41562-024-01942-4

Huang, Y., Faruque, S., Wu, M., Mizuno, A., Diniz, E., Yang, S., … & Aizenstein, H. J. (2024). Leveraging The Finite States of Emotion Processing to Study Late-Life Mental Health. arXiv preprint arXiv:2403.03414. https://doi.org/10.48550/arXiv.2403.03414

Nakamura, Y. T., Gu, Y., Jin, H., Yu, D., Hinshaw, J., & Rehman, R. (2023). Introducing neuroscience methods: an exploratory study on the role of reflection in developing leadership from a HRD perspective. Human Resource Development International, 26(4), 458-470. https://doi.org/10.1080/13678868.2022.2094151

Milham, M., Petkov, C., Belin, P., Hamed, S. B., Evrard, H., Fair, D., … & Ortiz-Rios, M. (2022). Toward next-generation primate neuroscience: A collaboration-based strategic plan for integrative neuroimaging. Neuron, 110(1), 16-20. https://doi.org/10.1016/j.neuron.2021.10.015

Selected Conference Presentations

Jin, H., Santini, T., Sajewski, A. N., Berardinelli, J. P., Li, J., Chu, C., deAlmeida, B., Campos, T., Liou, J. J., DeFranco, A., Aizenstein, H. J., & Ibrahim, T. S. (2025). Design and implementation of a 1H/31P dual-tuned head coil at 7T. International Society for Magnetic Resonance in Medicine (ISMRM) 2025 Annual Meeting, Honolulu, United States. May. [Poster]

Jin, H., Stetten, G., Wang, L., Chi, Y., Yang, S., Ibrahim, T. S., Aizenstein, H. J., & Wu, M. (2024). Exploring Venular Morphological Markers in Cerebral Small Vessel Disease: A 7T MRI Study. Organization for Human Brain Mapping (OHBM) 2024 Annual Meeting, Seoul, South Korea. June. [Poster]

Jin, H., Sajewski, A. N., Santini, T., Martins, T., Berardinelli, J. P., DeFranco, A., Aizenstein, H. J., & Ibrahim, T. S. (2023). Investigating the impact of head position on the spatial distribution of B1+ field for a 60-ch Tx coil at 7T. International Society for Magnetic Resonance in Medicine (ISMRM) 2023 Annual Meeting, Toronto, Canada. June. [Poster]

Farhat, N., Jin, H., Santini, T., Martins, T., Berardinelli, J., Schweitzer, N., Alkhateeb, S., Ikonomovic, M., Kofler, J., Mettenburg, J., Aizenstein, H. J., & Ibrahim, T. S. (2022). Addressing ultra highfield MRI challenges in ex-vivo. International Society for Magnetic Resonance in Medicine (ISMRM) 2022 Annual Meeting, London, United Kingdom. May. [Poster]

Jin, H., Ramirez, J.S., Kiar, G., Mehta, R., Vogelstein, J.T., Milham, M.P., & Xu., T. (2021). Assessing Functional Connectivity Beyond Pearson’s Correlation. Organization for Human Brain Mapping (OHBM) 2021 Annual Meeting, Virtual. June. [Poster]

Giavasis, S., Jon Clucas, M. I. S., Li, X., Jin, H., Ai, L., Heinsfeld, A. S., … & Milham, M. (2021). The Configurable Pipeline for the Analysis of Connectomes (C-PAC) 2020-21: Transitioning Out of Beta. Organization for Human Brain Mapping (OHBM) 2021 Annual Meeting, Virtual. June. [Poster]

Jin, H., Giavasis, S., Li, X., Solon, A., Ai, L., Franco, A.R., Ramirez, J.S., Wang, X., Gozzi, A., Pagani, M., Fox, A., Messinger, A., Fair, D. A., Keilholz, S., Russ, B., Xu, T., Craddock, R.C., & Milham, M.P. (2020). A Unified, End-to-End Pipeline Solution for Human and Nonhuman Functional Connectomics. Organization for Human Brain Mapping (OHBM) 2020 Annual Meeting, Virtual. June. [Poster]

Jin, H. & Li, X. (2019) fMRI Preprocessing with Containers: How to run C-PAC in Docker or Singularity. Brainhack Global 2019, New York, United States. November. [Oral Presentation]