Research

My CV can be found here. (Last Updated: January 6, 2021)

I'll do my best to update this as things happen, but if you would like to see a more current version, check out my LinkedIn!

Synthetic Neurobiology Group + Neuroscience Statistics Research Lab

I work under Dr. Ed Boyden (MIT Media Lab, Brain and Cognitive Sciences) and Dr. Emery Brown MD, PhD (MIT Brain and Cognitive Sciences, Harvard Medical School, Massachusetts General Hospital) on applying neuromodulation and machine learning to clinically relevant challanges.

Supported by the NSF Graduate Research Fellowship (2019-Present), Whitaker Health Sciences Fund Fellowship (2020-2021), GEM Fellowship (2018-19), Medical Engineering and Medical Physics Fellowship (2018-19)

Publications:

Singh, N. M., Harrod, J. B., Subramanian, S., Robinson, M., Chang, K., Cetin-Karayumak, S., ... & Gollub, R. L. (2022). How Machine Learning is Powering Neuroimaging to Improve Brain Health. Neuroinformatics, 1-22.

Hart, B., Achakulvisut, T., Adeyemi, A., Akrami, A., Alicea, B., Alonso-Andres, A., ... Harrod, J. B., ... & Wallisch, P. (2022). Neuromatch Academy: a 3-week, online summer school in computational neuroscience. Journal of Open Source Education, 5(49).

MIT Media Lab - Camera Culture (October - December 2018)

I worked under Dr. Ramesh Raskar in the MIT Media Lab to leverage encryption for neural networks for secure analysis of HIPAA-protected patient data.

Cornell University - Bonassar and Estroff Groups (2015-2018)

Over three years, I developed a process to induce mineral gradients in bone to improve the mechanical properties of our tissue-engineered meniscus constructs. Much of this work involved image segmentation analysis on microCT images of the induced gradients to develop a model for mineral gradient profile. My results showed that the procedure created consistently reproducible gradients, and that those gradients improved collagen infiltration into the bone, resulting in improved tensile properties of the overall meniscus construct.

Hao Zhou, Alexander J. Boys, Jordan B. Harrod, Lawrence J. Bonassar, Lara A. Estroff. Mineral Distribution Spatially Patterns Bone Marrow Stromal Cell Behavior on Monolithic Bone Scaffolds. Acta Biomaterialia 2020, 112 , 274-285. https://doi.org/10.1016/j.actbio.2020.05.032

Alexander J. Boys, Hao Zhou, Jordan B. Harrod, Mary Clare McCorry, Lara Estroff, Lawrence Bonassar. Top-Down Fabrication of Spatially Controlled Mineral-Gradient Scaffolds for Interfacial Tissue Engineering. (2019) ACS Biomaterials Science and Engineering. DOI: 10.1021/acsbiomaterials.9b00176

Stanford University - Xing Lab (2017)

Through this project, I discovered which aspects of a magnetic resonance image contribute to artifact formation, and successfully developed a network that could identify changes in the raw data that might form an artifact during reconstruction. I continued to work on this project remotely throughout the fall semester of my senior year, developing an algorithm that can identify intra-scan artifacts in real-time MRI, which was published at Neural Information Processing Systems 2017.

Jordan B. Harrod, Morteza Mardani, John Pauly, Shreyas Vasanawala, Lei Xing. Deep Predictive Coding for Super Time-Resolved MR Imaging. Neural Information Processing Systems 2017 - Medical Imaging Workshop.

Novartis Institute for Biomedical Research (2015)

As a Biomarker Development Intern, I generated proof-of-concept data for several concurrent pre-clinical studies for transition to the next stage of FDA approval. This included analyzing clinical trial optical coherence tomography data to determine the therapeutic efficacy of a drug designed to reduce intra-retinal fluid volumes, validating a novel data visualization software designed to visualize intra-retinal fluids, and evaluating clinical trial data to determine the systemic and local effects of a new topic analgesic treatment.

Guillaume Normand, Eric H Souied, Bruno Lay, Ronan Danno, Rocio Blanco-Garavito, Perrinne Charrard, Jordan B. Harrod, Michael Maker, Sudeep Chandra, Georges Weissgerber; Validation of 3D volumetry for a novel anti-angiogenic therapy of neovascular age-related macular degeneration. Invest. Ophthalmol. Vis. Sci. 2017;58(8):1282.

Columbia University - Biomaterials and Interface Tissue Engineering Lab (2014)

In this role, I learned to develop electrospun polymer nanofiber scaffolds for periodontal ligament regeneration and drug delivery, and used tensile testing to compare the strength of the scaffold to that of native tissue. My tensile testing results showed that the usage of varied ratios of polymeric acids substantially affected the Young’s modulus and ultimate tensile strength of the scaffolds, which did not yet compare to the strength of the periodontal ligament.