Kavita Kundal
University of California Davis Medical Center, Indian Institute of Technology Hyderabad, Indian institute of technology Hyderabad, National Institute of Technology Rourkela
0009-0006-5919-9589
About
Kavita Kundal is a Ph.D. Scholar working under the prestigious Prime Minister's Research Fellowship (PMRF) scheme in Department of Biotechnology, Indian Institute of Technology Hyderabad, India. She received her Master of Engineering in Biotechnology and Medical Engineering from National Institute of Technology (NIT) Rourkela, Odisha, India and Bachelor of Technology in Biotechnology from Sardar Beant Singh State University (SBSSU) Gurdaspur, Punjab, India in 2021 and 2019 respectively.
Her present research interest lies in the field of Radiogenomics of glioblastoma, Computational Biology, and Cancer Genomics. She previously worked in Molecular Dynamics Simulation using Gromacs for desigining novel therapeutic peptides as a part of her Master thesis work. In wet-laboratory she worked in Recombinant protein production and purification using bacterial strains. As a part of her bachelor's project she tested antimicrobial activity of different plant species against onion mold i.e. Aspergillus Niger. She also gained skills in serotyping, Antimicrobial Susceptibililty testing, and Image processing. She has contributed scientific papers and book chapters in leading international journals. Her multifaceted experiences, ranging from wet-laboratory work to computational biology, underscore her adaptability and versatility in addressing diverse challenges in the field of biotechnology and medical engineering.
Employment
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University of California Davis Medical Center Postdoctoral Researcher2026 - Present
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Indian Institute of Technology Hyderabad Research Scholar2022 - 2026
Education
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Indian institute of technology Hyderabad PhD2022 - 2026
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National Institute of Technology Rourkela MTech2019 - 2021
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Sardar Beant Singh State University BTech2015 - 2019
Projects & Funding
Projects & funding information is unavailable.
Publications (20)
- Tumor location, genomic alterations, and radiomic features as predictors of survival in glioblastoma: a Multi-Modal analysis Save
- RadGLO: an interactive platform for radiomic feature analysis and prognostic modeling in glioma Save
- MyeloDB: a multi-omics resource for multiple myeloma Save
- Unravelling the Impact of Tumor Location on Patient Survival in Glioblastoma: A Genomics and Radiomics Approach Save
- Radiomic based investigation of a potential link between precuneus and fusiform gyrus with Alzheimer disease Save
- Global microRNA profiling of bone marrow-MSC derived extracellular vesicles identifies miRNAs associated with hematopoietic dysfunction in aplastic anemia Save
- Comprehensive benchmarking of CNN-based tumor segmentation methods using multimodal MRI data Save
- Comprehensive Benchmarking of CNN-Based Tumor Segmentation Methods Using Multimodal MRI Data Save
- Altered Expression of microRNAs Implicated in Hematopoietic Dysfunction in the Extracellular Vesicles of Bone Marrow-Mesenchymal Stromal Cells in Aplastic Anemia Save
- Advancement of in silico tools for stem cell research Save