Akhil Ambekar is working with the digital pathology team on medical imaging projects. His current focus is on developing a deep learning model capable of providing a reliable, rapid on-site cytological evaluation to a bronchoscopist. He is also working on developing another model that detects different types of damaged glomerulus regions in a kidney biopsy section. Both his work aims to assist and optimize the outcome of a pathologist’s diagnosis. He holds a bachelor’s degree in Computer Science from St. Peter’s Engineering College, India, and a Master’s degree in Data Science from the University of St. Thomas, USA. His previous work includes developing solutions to help automate software processes using scripting languages, orchestration tools, and machine learning algorithms. While pursuing his master’s degree, he has worked as a research assistant developing novel artificial intelligence solutions in the field of image analysis and natural language processing. He believes that healthcare is one of the most important areas where AI has the potential to play a critical role in saving lives. Using AI to develop such solutions is his lifetime career goal.