From computer science foundations to multimodal imaging research, my education connects mathematical methods, machine learning, and practical computing systems.
GRADUATE EDUCATION
Washington University in St. Louis
McKelvey School of Engineering
St. Louis, Missouri, USA
Ph.D. Imaging Science
August 2023 – PresentIn progress
Expected completion: August 2028
M.S. Electrical Engineering
August 2023 – December 2025
Graduate training connects the mathematics of imaging with statistical learning, optimization, and computer vision.
Current research: multimodal organ and tumor segmentation for theranostic SPECT/CT, combining anatomical images, radiotracer uptake, and clinical report context.
Introduction to Machine Learning and Pattern Classification
CSE 515T
Bayesian Methods in Machine Learning
CSE 559A
Computer Vision
Pattern classification
Bayesian methods
Visual recognition
Imaging theory & practice4 courses
BME 589
Biological Imaging Technology
ESE 5933
Theoretical Imaging Science
ESE 5934
Practicum in Imaging Science
BME 506
Seminar in Imaging Science and Engineering
Biological imaging
Imaging theory
Research practice
MASTER’S EDUCATION · DUAL-DEGREE PATHWAY
National Institute of Technology Hamirpur
Computer Science and Engineering
Hamirpur, Himachal Pradesh, India
M.Tech. Computer Science and Engineering
August 2021 – July 2023
Advanced study in artificial intelligence, graph algorithms, distributed computing, and network security, alongside dissertation research in generative imaging.
MASTER’S THESIS
Image Generation for Low-Count Monkeypox Dataset Using Auxiliary Conditional GANs
Generative image synthesis for a limited-data medical imaging setting.