Biva Das

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About

Biva Das is a pioneering researcher at the intersection of artificial intelligence and mental health, whose work is reshaping how technology can address psychological well-being. Her most-cited paper, "Application of Artificial Intelligence in Mental Health" (2023), has garnered 9 citations, marking a foundational contribution to this emerging field. Das’s research focuses on leveraging machine learning and natural language processing to develop diagnostic tools, therapeutic chatbots, and predictive models for conditions like depression and anxiety. By integrating AI with clinical psychology, she aims to make mental health support more accessible, personalized, and scalable—particularly for underserved populations. Her work stands out for its emphasis on ethical AI design, ensuring that algorithms prioritize patient privacy and reduce bias. Beyond her published research, Das is recognized for bridging the gap between computer science and healthcare, advocating for interdisciplinary collaboration. Her insights have been featured in workshops on digital mental health, and she continues to inspire students and researchers to explore how intelligent systems can transform care. With a growing citation impact, Biva Das is a rising voice in the quest to harness AI for human well-being.