Research: I research how networked systems - from the Internet and social media platforms to cloud infrastructure - shape and impact society. My research centers on pressing challenges in digital equity, misinformation, privacy, and sustainable AI systems, with a particular focus on global development contexts. At the Internet, Data, and Society Lab (IDSL) at LUMS, I lead projects that combine approaches like generative AI and privacy-preserving ML with 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 remaining secure and resource-efficient.

Digital Development & Equity

Countering Fake News

Privacy & Internet Censorship

AI/ML & Cloud Computing

Digital Development & Digital Equity

Keywords: Affordable Web; Entry-level Smartphones; Digital Literacy; Causal Inference; Surveys; Mobile Video; Digital Equity

Countering Fake News

Keywords: Misinformation; Deepfakes; Digital (Media) Literacy; Cognitive  Reflection; Causal Inference; Randomized Control Trials; Deep Learning; Surveys

Online Safety, Internet Censorship & Internet Centralization

Keywords: Online Privacy; Censorship Measurements; Online Advertising; Ethics; Privacy-Preserving Communication

AI/Machine Learning & Cloud/Edge Computing

Keywords: Data Pruning & Model Pruning; Active Learning; LLMs; Privacy-Preserving Machine Learning; Flow Scheduling; Tail Latency; Load Balancing; Software-Defined Networking