Prafull Sharma

Prafull Sharma is a researcher specializing in deep learning applications in medical imaging, currently affiliated with the University of Wisconsin-Madison. His work primarily focuses on developing deep learning models to enhance the analysis of medical images, particularly in identifying signs of kidney cancer using datasets from UW Health. He was part of a medical imaging research group led by Professors Dane Morgan and Mingren Shen, where he created 2D image stacks from kidney CT scans and developed 3D visualizations using tools like the pydicom library and Microsoft Inner-Eye.2

Education and Background

Prafull Sharma earned his Bachelor of Science in Computer Science from the University of Wisconsin-Madison, graduating in 2023. His academic journey reflects a strong foundation in computer science, which he has applied to various projects, including those in medical imaging and software development.2

Professional Experience

• Deep Learning in Medical Imaging Researcher at the University of Wisconsin-Madison (September 2020 - December 2020)
• Software Engineer roles at various companies, including Dell Technologies and Extreme Engineering Solutions, where he worked on machine learning metrics evaluation and automated testing procedures.2
• Co-Founder of startups like GroceryMule, which facilitates collaborative grocery shopping, and MatchMeds, aimed at connecting low-income patients with affordable prescription options.2

Research Contributions

Sharma's research contributions include several papers presented at significant conferences such as SIGGRAPH and ICCV. His work encompasses topics like scene understanding, generative models for computational photography, and self-supervised learning techniques for image processing.1

Interests

Outside of his academic pursuits, Prafull enjoys playing guitar, photography, and reading about psychology and neuroscience.1

For more details about his work and projects, you can visit his personal website or LinkedIn profile.