Divyanshu Tak
Research Scholar
Divyanshu Tak is a PhD candidate at AIM with a background in Electrical and Computer Engineering from The Ohio State University. He has extensively applied machine learning and artificial intelligence in various projects, including risk stratification of pancreatic cancer using deep learning and 3D object detection for autonomous vehicles.
His professional experience includes a successful tenure as a Perception Lead at Team Buckeye AutoDrive, where he led his team to a second-place finish in the SAE AutoDrive Challenge 2. As an intern at Robert Bosch LLC, he contributed to the improvement of angle estimation accuracy for trailer vehicles. Divyanshu's current research interests lie in the intersection of healthcare and deep learning, where he leverages computer vision and AI to solve complex problems. His ongoing research at Harvard - AIM aims to further the application of these technologies to improve patient outcomes.
Email: dtak@bwh.harvard.edu
LinkedIn: https://www.linkedin.com/in/divyanshu-tak-a9a35a127