Ask a Student

The following students have volunteered to talk with recently admitted students. Feel free to email them with questions about student life at the I School.

If you have questions about registration, fellowships, or other administrative issues, please contact our admissions staff at admissions@ischool.berkeley.edu.

Ph.D. Student
Focus: Financing biodiversity and climate-positive interventions through robust monitoring and verification; monitoring and protection of global and local commons, using machine learning and remote sensing to inform robust policymaking
Ph.D. Student
Focus: information visualization, text, science communication
Ph.D. Student
Focus: Human-Computer Interaction, Embodied Computing, Learning Technology, Digital Wellbeing, Human-AI Collaboration
Ph.D. Student
Focus: real estate platforms and the representation of local context; social media practices in East Africa; civic technology; critical cartography; international development agencies and agendas
Ph.D. Student
Focus: investigating the harm potential of deceptive design in new media systems, and opportunities for user resistance and reclamation
Ph.D. Student
Focus: human-computer interaction, social computing, online harms
Ph.D. Student
Focus: natural language processing, computational social science, digital humanities
Ph.D. Student
Focus: computational social science and natural language processing
Ph.D. Student
Focus: Machine Learning in Medicine, Clinical NLP, Statistics
Ph.D. Student
Focus: development studies, policy prediction problems, geospatial analysis, machine learning, data management systems
Ph.D. Student
Focus: sociology of quantification, online harm, political ecology and algorithmic accountability
Ph.D. Student
Focus: ICTD, Data Science, Development Economics.
Ph.D. Student
Focus: Human-computer interaction, social computing, human-centered AI, algorithmic fairness, participatory design, value-sensitive design
Ph.D. Student
Focus: design research in human-computer interaction (HCI), embodied interaction for informal learning, more-than-human design, mixed reality (MR) & augmented reality (AR)
Ph.D. Student
Focus: Participatory AI, tech policy, responsible tech