Your browser is unsupported

We recommend using the latest version of IE11, Edge, Chrome, Firefox or Safari.

Biomedical Informatics and Health Equity Monthly Seminar Series Registration

Towards Precision Oncology using Machine Learning on Digital Pathology Heading link

Dr. Amit Sethi

Wednesday, June 29, 2022
12:00 pm – 1:00 pm

Amit Sethi, PhD
Professor, Department of Electrical Engineering, Indian Institute of Technology Bombay
Adjunct Professor, Department of Pathology, UIC

Amit Sethi is a Professor of Electrical Engineering at Indian Institute of Technology Bombay and an adjunct faculty of Pathology at UIC. His research group works on computer vision, deep learning, and medical image analysis, with a focus on cancer pathology. His current research is focused on developing genomic and prognostic biomarkers using deep learning on inexpensive medical image modalities, such as whole slide H&E-stained onco-pathology images. Technical challenges to solve these problems include working with images that are very large in size but few in number, variability in image quality and characteristics between hospitals, and the lack of tight annotations. Search for better solutions involve concepts from deep neural networks, weak supervision, self-supervision, semi-supervision, domain adaptation, few-shot learning, and learning from noisy labels. He obtained his PhD in Electrical and Computer Engineering from University of Illinois at Urbana-Champaign in 2005 with a focus on computer vision and machine learning, and a bachelors in Electrical Engineering from IIT Delhi in 1999. He worked as management consultant with ZS Associates in Chicago between 2006 and 2011.


Sponsored by the Office of the Vice Chancellor for Research, College of Medicine, and College of Applied Health Sciences.