Rishi is working on AI-based ulcerative colitis grading in endocopy images using established deep learning tools and enhanced preprocessing to generalize the solution across multiple cohorts and ages. He also is currently working on developing pipelines for CT and MRI images to identify explainable features targeting multiple outcomes and conditions, such as cancers and tuberculosis. Looking forward to his time with the Madabhushi Lab, he is interested to learn more on novel applications of multi-modal architectures, as well as novel features extracted from pathology data.
His areas of interest also include machine learning applications in medical care, specifically focused on multiple-imaging modalities, as well as AI for endoscopy. He also is interested in radiomics, and pathomics. His career goals are focused on democratizing healthcare through scalable solutions which can enhance access to healthcare and ensure wicked challenges can be solved for the vulnerable, while including medical practitioners in the decision pipeline.
Prior to joining the lab, Rishi worked as a senior engineer - biomedical engineer on the Innovation & Research team at Titan Company Limited in Bengaluru, India. He predominantly worked with wearable devices: developing, prototyping, and testing consumer-grade wearable sensors in both small-scale as well as larger-scale consumer studies through internal development and in collaboration with start-ups and academic labs. He worked with CROs to set up trials and recruit participants.
A biomedical engineering graduate student in the Coulter Department of Biomedical Engineering of Emory and Georgia Tech, Rishi earned his MS in biomedical engineering from Georgia Tech in 2024, and a BTech degree in biomedical engineering from NIT Rourkela in 2021.