​​​​Rishabh Bhardwaj​

After gaining invaluable learning experience at BITS Pilani, I have amassed research ethics and attitude from various groups such as CEERI, University of Alberta, and National University of Singapore. When it comes to most valuable research experiences in the list of invaluable ones (kind of comparing two infinitely large numbers), I can not think beyond my research tenure at Salesforce research Asia and Amazon Science, California. On a side note, do look at the Mathology section for my side interests.

Most of my efficient learning in the domain of AI came after I joined SUTD as a Ph.D. candidate in 2020. One year of the worthy ride on the Ph.D. tuk-tuk carried me from the applied stop of the machine learning to the stop where I found interest in theoretical considerations of NLP models, i.e., mathematical analysis of learned representations and how to perform efficient distillation of the encoded knowledge. During the ride, I have shared the space with a few people (co-authors) without whom the journey would not be this exciting. Optimistically and without being overambitious (I had to check spellings of both the confusing words), I am generously waiting for the next few stops before the tuk-tuk says goodbye to me.