Mr. Rajat Sahay

I am a PhD candidate at the University of Freiburg working with Thomas Brox. I also hold a parallel position at Bosch Research in Renningen, Germany. My work deals with understanding representation learning in visual models through the lens of interpretability and explainability.

I did my Master’s at RIT, where I was an NSF AWARE-AI Fellow. I also worked at the RIT Center for Human Aware AI under the supervision of Prof. Andreas Savakis on unsupervised domain adaptation in large-scale foundation models.

I have had the pleasure of working alongside researchers and scientists from across the world. Prior to this, I have been associated with Microsoft Research, the Juno Mission at NASA JPL, IRIS-HEP at Princeton, the LIVIA Lab at ETS Montreal, ULR France, CamCann Smart Systems, and IIT Indore.