Graduate School of Biomedical Sciences

Austin Todd

M.D./Ph.D. Student

Austin Todd is a graduate student in the South Texas Medical Scientist Training Program (MD/PhD Program) studying neuroimmunology, pain, SARS-CoV2, and microscopy under the mentorship of Alexei Tumanov, MD, PhD. For his clinical specialty, Austin is considering internal medicine. 

About Me

I grew up mostly in Sacramento California, got introduced to research early in undergrad at California State University Sacramento and decided to apply to MD/PhD programs after working with Dr. Levenson at the UC Davis Medical Center on MUSE (microscopy with UV surface excitation). I spend my free time playing games with online friends, practicing drums (punk/alternative/jazz), and pampering my former alley cat Luna.

Hobbies/Interests

Anything sci-fi, computer building/gaming, playing drums

Research Topic

Neuroimmunology, pain, SARS-CoV2, microscopy.

Why I chose MD/PhD

I chose to pursue an MD/PhD as the clinical context and knowledge is invaluable in the pursuit of translational research. I am interested in pathology as well as diagnostic imaging technologies which align well with physician scientist training.

Why I chose MD/PhD at UT Health San Antonio

I chose UT Health San Antonio because of the support for students both from the program as well as peer support from my cohort and those above me. Dr. Cavazos is incredibly invested in student success and this extends to the program as a whole.

Post-bac work or other affiliations

Staff research associate UC Davis Medical Center. Levenson Lab

Education

B.S., California State University Sacramento 

Publications

Kolluru, C., Todd, A., Upadhye, A. R., Liu, Y., Berezin, M. Y., Fereidouni, F., ... & Wilson, D. L. (2022). Imaging peripheral nerve micro-anatomy with MUSE, 2D and 3D approaches. Scientific reports, 12(1), 1-8. https://doi.org/10.1038/s41598-022-14166-1 

Abraham, T., Todd, A., Orringer, D. A., & Levenson, R. (2021). Applications of artificial intelligence for image enhancement in pathology. Artificial Intelligence and Deep Learning in Pathology (pp. 119-148). Elsevier. https://doi.org/10.1016/B978-0-323-67538-3.00007-5

Fereidouni, F., Todd, A., Li, Y., Chang, C. W., Luong, K., Rosenberg, A., ... & Levenson, R. (2019). Dual-mode emission and transmission microscopy for virtual histochemistry using hematoxylin-and eosin-stained tissue sections. Biomedical Optics Express, 10(12), 6516-6530. https://doi.org/10.1364/BOE.10.006516

Qorbani, A., Fereidouni, F., Levenson, R., Lahoubi, S. Y., Harmany, Z. T., Todd, A., & Fung, M. A. (2018). Microscopy with ultraviolet surface excitation (MUSE): A novel approach to real‐time inexpensive slide‐free dermatopathology. Journal of cutaneous pathology, 45(7), 498-503. https://doi.org/10.1111/cup.13255

Fereidouni, F., Griffin, C., Todd, A., & Levenson, R. (2018). Multispectral analysis tools can increase utility of RGB color images in histology. Journal of Optics, 20(4), 044007. https://doi.org/10.1088/2040-8986/aab0e8

Fereidouni, F., Harmany, Z., Tian, M., Todd, A., Kintner, J., McPherson, J., Borowsky, A., Bishop, J., Lechpammer, M., Demos, S., Levenson, R. (2017) Microscopy with ultraviolet surface excitation for rapid slide-free histology. Nature biomedical Engineering. 1(12): 957-966. https://doi.org/10.1038%2Fs41551-017-0165-y