Research
I research how networked systems (cloud infrastructure, social media platforms, and AI-based technologies such as large language models) impact society through three interconnected lenses:
Equitable Digital Development - Examining how technology design and implementation can advance inclusive growth in underserved communities, creating sustainable pathways for economic and social advancement while bridging persistent digital divides.
Information Integrity - Investigating the psychological, social, and technical factors driving misinformation, while developing integrated solutions from evidence-based media literacy programs to advanced deepfake detection systems, all evaluated through robust benchmark datasets.
Human-Centered Digital Health - Designing systems that enhance rather than replace human elements of healthcare, prioritizing patient agency, healthcare provider capabilities, and health equity through thoughtful integration of technical innovation with policy considerations.
At the Internet, Data, and Society Lab (IDSL) at LUMS, I lead initiatives combining approaches like generative AI and privacy-preserving machine learning with rigorous social science methods, including randomized controlled trials. By bridging computational and human-centered perspectives, my work aims to develop digital technologies that serve diverse communities equitably while addressing critical considerations of accessibility, sustainability, and responsible innovation.
