T32 Presentations-Day 2: Mithun Diwakar, MD, PhD and Maya Vella, MD
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https://ucsf.zoom.us/j/95745392758?pwd=UnVFV0pYTDJLckIvM3NOUjhzTUNOUT09
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![](https://radiology.ucsf.edu/sites/radiology.ucsf.edu/files/styles/150w/public/fields/field_image/speakers/Image%20for%202019%20T32%20Day2%20lectures_4x4_0.jpg?itok=xmrh3i3Z)
The Department of Radiology and Biomedical Imaging has a long record of excellence in clinical and academic radiology, and has one of the largest research enterprises funded through intra- and extramural funding and private donors. With numerous outstanding basic scientists and clinicians engaged in innovative imaging research across five principal campus units, the department provides a fertile ground for interdisciplinary collaboration. The T32 program exists to jumpstart the academic careers of junior radiologists and nuclear medicine physicians and to provide the essential foundation for developing a research program as an independent investigator.
![](https://radiology.ucsf.edu/sites/radiology.ucsf.edu/files/styles/150w/public/fields/field_image/speakers/Mithun.Diwakar-fromProfilesAPI.jpeg?itok=K_P-IDse)
'Investigating Dynamic Brain Networks with Multi-scale Integration of MEG, DTI, and fMRI'
Dr. Diwakar is a Resident in the UCSF Department of Radiology and Biomedical Imaging. As a 2019-2020 NIH T-32 scholar, Dr. Diwakar's research investigations over the past year have focused on developing, deploying, and testing a multi-modal approach to integrating functional magnetic resonance imaging (fMRI), diffusion tensor imaging (DTI), and magnetoencephalography (MEG) in order to investigate dynamic brain network activity in states of health and disease. Dr. Diwakar earned his doctorate degrees at the University of California, San Diego, where his thesis work focused on developing novel reconstruction algorithms for MEG.
![](https://radiology.ucsf.edu/sites/radiology.ucsf.edu/files/styles/150w/public/fields/field_image/speakers/Maya.Vella-fromProfilesAPI.jpeg?itok=SH2Nd7Y6)
'Imaging Based Criteria for the Diagnosis of Hypersensitivity Pneumonitis'
Dr. Maya Vella is a resident in the UCSF Department of Radiology and Biomedical Imaging. As a 2019-2020 NIH T-32 scholar, Dr. Vella's primary research investigations over the past year have focused on developing an imaging based scoring system for the diagnosis of hypersensitivity pneumonitis. Other projects she worked on this year include evaluation of the use of PET/CT in lung cancer in the VA population, MRI sequences for the detection of cerebral AVMs in hereditary hemorrhagic telangiectasia, and the difference in proportion of women in educational leadership roles within radiology compared to other departmental leadership roles.