Pooja Rao

Pooja Rao

PhD Student at University of Lausanne

I am a doctoral student under the co-supervision of Prof. Mauro Cherubini from UNIL and Prof. Dinesh Babu Jayagopi from IIIT Bangalore . My research interests lie in the intersection of Human-Computer Interaction and Artificial Intelligence. My goal is to help job seekers overcome the challenges of unemployment with a focus on interview training through the techniques of Artificial Intelligence and Natural Language Processing.

I completed my Master's by Research in AI at IIIT Bangalore where my thesis focused on improving and automating asynchronous video interviews using Machine Learning, Natural Language Processing and Generation, Multimodal Processing. My industry background includes stints at Accenture Technology Labs and HP Inc R&D Labs working on different NLP problems. Prior to my Master's, I worked at Fidelity Investments for 2 years.

When not working, I enjoy doing the classical dance form of Kathak and getting to know about zero-waste/ sustainable practices.


Master Thesis

Work towards adding automated elements to asynchronous interview systems by solving the problems of interview follow-up question generation and automatic assessment of candidates using various Machine Learning techniques like text generation, text classification and transfer learning techniques for NLP.