I'm a fourth-year Ph.D. candidate at IIIT-Delhi, exploring the fascinating intersection where technology meets human emotions. My research bridges multiple disciplines: artificial intelligence, ubiquitous computing, human-computer interaction, and healthcare.

Imagine a world where your wearable device not only tracks your steps but understands your emotional state. I'm developing predictive models that decode the subtle language of physiological signals—your heartbeat, skin conductance, body temperature—to assess mental well-being in everyday settings. This interdisciplinary approach allows me to build AI systems that are both technically robust and deeply human-centered.

What makes my work unique is its focus on the complexities of emotion data through an HCI lens. By understanding how humans experience, express, and report emotions, I design algorithms that can recognize emotional patterns more accurately in real-world environments—where data is messy, context matters, and individual differences abound.