Research Associate Professor of Radiology at Perelman School of Medicine University of Pennsylvania, United States
Dr. Sanjeev Chawla is a distinguished researcher and educator specializing in radiology and magnetic resonance imaging. š With a Ph.D. in Magnetic Resonance Imaging and Spectroscopy from the Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow, and advanced training in chemistry from IIT Delhi and University of Delhi, he has established himself as a leader in his field. āØ Currently serving as a Research Associate Professor at the Perelman School of Medicine, University of Pennsylvania, Dr. Chawla has made groundbreaking contributions in developing MRI-based biomarkers for brain tumors and head and neck cancers. š§ š He has authored over 104 peer-reviewed publications with an H-index of 40, received numerous awards, including the Distinguished Investigator Award and the Fulbright Scholarship, and actively mentors future scientists. š His expertise extends to editorial roles and clinical trials, underscoring his impact on translational medicine and imaging sciences.
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Education š:
Dr. Sanjeev Chawla’s educational journey showcases his dedication to excellence in the fields of radiology and magnetic resonance imaging. š He earned his Ph.D. in Magnetic Resonance Imaging and Spectroscopy from the renowned Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow, India (2000ā2004), where he specialized in advanced imaging techniques. Prior to this, he undertook research training at the Central Drug Research Institute, Lucknow (1999ā2000), enhancing his interdisciplinary expertise. Dr. Chawla also holds an M.S. in Chemistry from the esteemed Indian Institute of Technology, Delhi (1997ā1999), and a B.S. in Chemistry from the University of Delhi (1994ā1997), providing a strong foundation in analytical and physical chemistry. š His academic achievements reflect his commitment to advancing scientific research and innovation.
Work Experience š¼:
Dr. Sanjeev Chawla brings extensive experience in radiology and advanced magnetic resonance imaging, making significant contributions to both research and clinical applications. š„āØ He is currently a Research Associate Professor at the Perelman School of Medicine, University of Pennsylvania, where he leads innovative projects in neuroradiology and oncology imaging. Over the years, Dr. Chawla has mentored numerous students and fellows, training them in advanced MR imaging techniques and fostering the next generation of researchers. š©āššØāš His expertise spans teaching MRI physics, conducting clinical trials as a Principal Investigator, and serving as a moderator for international conferences like ISMRM and ASNR. šš Dr. Chawla has also contributed to prestigious editorial boards and reviewed high-impact journals, further showcasing his leadership in the field. His career reflects a blend of academic excellence, mentorship, and groundbreaking research in imaging sciences.
Awards and Honors
Dr. Sanjeev Chawla’s illustrious career is adorned with numerous prestigious awards and honors, reflecting his outstanding contributions to radiology and magnetic resonance imaging. šāØ In 2024, he received the Distinguished Investigator Award from the Academy of Radiology and Biomedical Research and the Summa Cum Laude Merit Award from ISMRM. He was also honored with the Fulbright Scholarship Award for advancing research and teaching in MRI Physics. š In 2023, he earned the Leadership and Mentorship Scholarship Award from the National Cancer Institute, and in 2022, he was named the Outstanding Researcher in Neuroradiology by the Venus International Foundation. Dr. Chawla holds the title of Diplomate of the American Board of Medical Physics (2021) and has been recognized for his top 10% most downloaded paper in NMR in Biomedicine (2018ā19). šļø His accolades also include the ISMRM Research Exchange Grant (2019), multiple poster prizes, and national fellowships, underscoring his excellence and impact on the global scientific community.
Research Interests:
Dr. Sanjeev Chawlaās research interests lie at the intersection of advanced imaging technologies and their clinical applications, particularly in the fields of neuroradiology, oncology, and metabolic imaging. š§ š His work focuses on developing and optimizing multi-parametric MRI techniques, including proton magnetic resonance spectroscopy and diffusion-weighted imaging, to improve diagnostic accuracy and treatment monitoring for brain tumors and head and neck cancers. šÆš¬ He is deeply engaged in exploring machine learning applications for redefining treatment responses in glioblastoma and other malignancies, aiming to advance personalized medicine. š»š©ŗ Dr. Chawlaās innovative approaches extend to non-invasive biomarker development, differentiation of true progression from pseudo-progression, and prognostic imaging tools for de-escalation therapies in HPV-positive cancers. šš His research has consistently pushed the boundaries of imaging science, making a transformative impact on patient care and therapeutic strategies.
š Publications
- Classification of Brain Tumor Type and Grade Using MRI Texture and Shape in a Machine Learning Scheme
- Authors: E.I. Zacharaki, S. Wang, S. Chawla, D. Soo Yoo, R. Wolf, E.R. Melhem, …
- Journal: Magnetic Resonance in Medicine: An Official Journal of the International Society for Magnetic Resonance in Medicine
- Cited by: 981
- Year: 2009
- Differentiation of Tuberculous from Pyogenic Brain Abscesses with In Vivo Proton MR Spectroscopy and Magnetization Transfer MR Imaging
- Authors: R.K. Gupta, D.K. Vatsal, N. Husain, S. Chawla, K.N. Prasad, R. Roy, R. Kumar, …
- Journal: American Journal of Neuroradiology
- Volume & Pages: 22(8), 1503ā1509
- Cited by: 219
- Year: 2001
- Differentiation Between Glioblastomas, Solitary Brain Metastases, and Primary Cerebral Lymphomas Using Diffusion Tensor and Dynamic Susceptibility Contrast-Enhanced MR Imaging
- Authors: S. Wang, S. Kim, S. Chawla, R.L. Wolf, D.E. Knipp, A. Vossough, D.M. O’Rourke, …
- Journal: American Journal of Neuroradiology
- Volume & Pages: 32(3), 507ā514
- Cited by: 216
- Year: 2011
- Differentiation Between Glioblastomas and Solitary Brain Metastases Using Diffusion Tensor Imaging
- Authors: S. Wang, S. Kim, S. Chawla, R.L. Wolf, W.G. Zhang, D.M. O’Rourke, K.D. Judy, …
- Journal: Neuroimage
- Volume & Pages: 44(3), 653ā660
- Cited by: 199
- Year: 2009
- MR-Visible Lipids and the Tumor Microenvironment
- Authors: E.J. Delikatny, S. Chawla, D.J. Leung, H. Poptani
- Journal: NMR in Biomedicine
- Volume & Pages: 24(6), 592ā611
- Cited by: 190
- Year: 2011
- Pretreatment Diffusion-Weighted and Dynamic Contrast-Enhanced MRI for Prediction of Local Treatment Response in Squamous Cell Carcinomas of the Head and Neck
- Authors: S. Chawla, S. Kim, L. Dougherty, S. Wang, L.A. Loevner, H. Quon, H. Poptani
- Journal: American Journal of Roentgenology
- Volume & Pages: 200(1), 35ā43
- Cited by: 188
- Year: 2013
- Multiparametric Tissue Characterization of Brain Neoplasms and Their Recurrence Using Pattern Classification of MR Images
- Authors: R. Verma, E.I. Zacharaki, Y. Ou, H. Cai, S. Chawla, S.K. Lee, E.R. Melhem, …
- Journal: Academic Radiology
- Volume & Pages: 15(8), 966ā977
- Cited by: 169
- Year: 2008
ConclusionĀ
Dr. Chawla exemplifies the qualities sought in the Best Researcher Award, with his innovative contributions, leadership in education, and relentless pursuit of scientific excellence, making him a highly deserving nominee.