I am an Imaging Scientist, a Postdoctoral Researcher (Associate Specialist) in the Department of Radiology and Biomedical Imaging, University of California, San Francisco (UCSF). I have been working under the supervision of Professor Sharmila Majumdar, Vice Chair, Research, Radiology, and Margaret Hart Surbeck Distinguished Professor, since November 2021. (https://radiology.ucsf.edu/research/labs/musculoskeletal-quantitative-imaging/labs/majumdar-lab). At UCSF, my work focusing on musculoskeletal imaging involves close collaboration with and co-supervision on individual projects from Dr. Thomas Link (Musculoskeletal Imaging Section and Clinical Director of the Musculoskeletal and Quantitative Imaging Research), Dr. Richard Souza (Vice Chair for Research and Professor in the Department of Physical Therapy and Rehabilitation Science), and Dr. Yang Yang (Associate Professor, Mid and Low-Field MRI expert). Details about my ongoing research projects are highlighted in the "Postdoctoral Experiences" section. 

Prior to this, I completed my PhD (Biomedical Engineering) at the Indian Institute of Technology (IIT) Delhi, in Dr. Anup Singh's Lab (https://profile.iitd.ac.in//~anupsm/ ), in October 2021. My thesis was titled as “Quantitative Susceptibility Weighted Imaging in the Grading of Intracranial Mass Lesions and Assessment of Acute Ischemic Stroke Penumbra”. I have also worked at Philips Health Systems, MRI Division, as an MRI Application Specialist, collaborating with renowned radiologists across India, including Fortis Memorial Research Institute, All India Institute of Medical Sciences (AIIMS), PGI, Apollo Hospitals, Mahajan Group of Imaging, Max Hospitals and many more. Relevant experiences are highlighted in the "Predoctoral Experiences" section". 

Overall Expertise:

• Magnetic Resonance Imaging Acquisition, Post-processing, Analysis, Computational methods

• Musculoskeletal MRI & PET (NaF) Imaging and Osteoarthritis research: 3.0T & 0.55T

• Disease Progression, Follow-up: T1p, T2, Bone, Cartilage, Muscle, Menisci health, compositional, metabolic and morphological Biomarkers in Osteoarthritis

• Machine Learning & Deep Learning: synthetic imaging, grading, image assessment, anomaly detection, denoising and segmentation

• Working and curating larger image databases, conducting and evaluating Health-Data specific AI challenges for Conferences (Miccai-2022)

• Experience working with Biomechanical data analysis (kinetics, kinematics, gait analysis)

• Exploring the technical feasibility of utilizing new-generation MRI scanners (0.55T) for Osteoarthritis evaluation

• Specialized in Neuro MRI Imaging Evaluation: Glioma & Acute Ischemic Stroke

• Susceptibility Weighted Imaging (SWI) and its utilization in novel scopes