I'm interested in the physiologic mechanisms of salt handling and how the lymphatics system plays a role in tissue sodium storage to make contributions in cardiovascular health. I work with multi-nuclear magnetic resonance imaging methods to better understand these relationships and to explore the biological basis of sodium MR signal.

Graduate Student 2017 thru 2022

Current: Clinical R&D Specialist at INSIGHTEC

Graduate Student 2018 thru 2023

Current: Clinical Applications Specialist at INSIGHTEC

My research interest lies at the intersection of MRI and fMRI data analysis and machine learning techniques. I am currently interested in using resting state fMRI for probing various clinically relevant neuroscience questions in primate models. My PhD research work involved devising methodology for tumor segmentation and grading in glioma patients using a combination of DCE-MRI and conventional MRI parameters under a machine learning framework.

For the current research projects, I analyze the resting state functional connectivity in monkey brain and spinal cord injury models to investigate changes in their functional circuits. I use data driven techniques such as ICA for detecting characteristic features from the fMRI signal of brain and spinal cord.

Optimized and open-source hardware solutions for ultra-high and ultra-low field imaging

I am interested in using neuroimaging (e.g., fMRI and diffusion MRI) to study and improve treatments for neurological disorders

Postdoc at VUIIS 2/22 thru 8/22.

Current: Instructor and Resident Scientist, Vanderbilt Collaborative for STEM Education and Outreach