Debabrota Basu
About Debabrota Basu
Debabrota Basu is an Inria Starting Faculty in France, focusing on robust, private, and fair machine learning. He has held various academic and research positions globally, including roles at Harvard University, the National University of Singapore, and Chalmers University of Technology.
Work at Inria
Debabrota Basu has been serving as Inria Starting Faculty since 2020. His research focuses on robust, private, and fair machine learning. At Inria, he aims to bridge real-world problems with innovative theories and algorithms, contributing to advancements in the field of machine learning.
Education and Expertise
Debabrota Basu completed his Bachelor of Engineering in Electronics and Telecommunications Engineering at Jadavpur University from 2010 to 2014. He then pursued a Doctor of Philosophy in Computer Science at the National University of Singapore, completing his studies from 2014 to 2018. His educational background provides a solid foundation for his research interests in machine learning.
Previous Research Positions
Before joining Inria, Debabrota Basu held several research positions. He was a Visiting Researcher at Harvard University for one month in 2019 and a Research Fellow at the National University of Singapore from 2018 to 2019. Additionally, he worked as a Postdoctoral Research Fellow at Chalmers University of Technology in Sweden from 2019 to 2020.
Professional Background
Debabrota Basu has a diverse professional background. He co-founded Opinir in 2018 and served as an Entrepreneurial Lead in the Lean Launch Pad Program at NUS Enterprise. His earlier experiences include internships at ABB in India and Nanyang Technological University in Singapore, as well as a research student role at the Indian Institute of Management, Calcutta.
Research Interests and Philosophy
Debabrota Basu's research interests lie in developing algorithmic solutions to address real-world challenges, particularly in the context of the fourth industrial revolution. He expresses a work philosophy centered on curiosity and aims to create societal value through machine learning, combining his engineering training with a passion for poetry and writing.