Published papers such as 'Multimodal healthcare AI: identifying and designing clinically relevant vision-language applications for radiology'.
Research Experience
Until June 2021, she was a PostDoc in the Department of Engineering Science at the University of Oxford, working on the ERC Project PULSE to develop multi-modal analysis methods for obstetric ultrasound imaging. Prior to 2017, she collaborated with Technische Universität Berlin, analyzing histopathological whole slide images of gastric carcinoma. In 2012-2013, she was a lecturer in electronics and communication engineering at Jaypee Institute of Information Technology. In 2011-2012, she was an exchange research scholar at Technical University Berlin under the DAAD-IIT Master Sandwich Programme, exploring content-based image retrieval for breast cancer biopsies.
Education
Ph.D. (Dr.-Ing.) in Computer Vision from Technische Universität Berlin in 2017 (advised by Prof. Olaf Hellwich); M.Tech. in Instrumentation and Signal Processing from Indian Institute of Technology Roorkee in 2012; B.Tech. in Electronics and Communication Engineering from Indira Gandhi Delhi Technical University for Women in 2010.
Background
Research interests include machine learning, artificial intelligence, large multimodal models, image analysis, signal processing, and biomedical imaging. She is a Senior ML Researcher at Microsoft, working on machine learning solutions to improve patient outcomes and clinical workflows.
Miscellany
Interests include machine learning and AI, biomedical imaging, computer vision, large multimodal models, image analysis, and signal processing.