Sudeshna Das earned her PhD from the Centre of Excellence in Artificial Intelligence, Indian Institute of Technology Kharagpur, India. Her doctoral research concentrated on AI-driven Gender Bias Identification in Textbooks. She is currently a Postdoctoral Fellow at the Department of Biomedical Informatics, School of Medicine, Emory University, USA, where she is part of the Sarker Lab. Her research interests lie at the intersection of AI and Social Good, with a particular focus on gender equity in education and healthcare. Prior to her doctoral research, she studied computer science and engineering, leading to an MTech from the National Institute of Technology Durgapur, India, and a BTech from West Bengal University of Technology, India.
I want to build AI-based technologies for removing barriers in education and healthcare. I want this because we cannot afford to perpetuate socioeconomic inequities in the applications of AI-based technology. I can do this because I have extensive experience developing AI systems that address social biases and promote inclusivity.