It asks how the technologies we use to find and share information, such as search engines, social media platforms, and generative AI chatbots, shape the way we understand politics and each other. I study how these systems decide which voices and ideas become visible, and how they can quietly carry ideological biases that influence what citizens believe.

To answer such questions, I combine computational methods (mostly text, but lately also for visual data) with quantitative measures and interpretive reading of what people actually say. The goal is to make these hidden forms of influence visible to scholars, policymakers, and the public alike.

I hold a doctorate in the social sciences from the University of Bern (2026), a master's in public policy from the Hertie School in Germany (2023), and a bachelor's in information technology from Mumbai University in India (2019).