SDiPath Trailblazers in AI Series – Harshita Sharma

Abstract: Our speaker is Dr. Harshita Sharma who will present her recent work in histopathology at Microsoft, to enable large-scale screening of Barrett’s esophagus using weakly supervised deep learning. She will also give an overview of open-source computational pathology tools developed by Microsoft.

Bio:I am a Senior Researcher in the Biomedical Imaging team at Microsoft Health Futures – Microsoft Research. My research interests include machine learning, image analysis, computer vision, and multimodal data analysis for healthcare. I explore machine learning solutions aimed towards improving patient outcomes and clinical workflows. Prior to joining Microsoft, I was a postdoctoral researcher at the University of Oxford, where I worked on multimodal analysis methods to model sonographic experience in fetal ultrasound. I received my PhD from the Technical University of Berlin with a strong focus on image analysis and machine learning for digital histopathology. I received my master’s degree in engineering from Indian Institute of Technology Roorkee, and bachelor’s degree in engineering from Indira Gandhi Delhi Technical University for Women.

Zoom link: https://unibe-ch.zoom.us/j/64244437918?pwd=ME0zc1JlTFZZMTQ5UERpZGpXY0xRdz09

Register here: https://docs.google.com/forms/d/e/1FAIpQLSeElhR830Xyf2qrZYgHhdGtO7Yd1bRCZmmBgg2fpZdJ5xUXKA/viewform