Niloufar Salehi

Research Bio

Niloufar Salehi is an assistant professor in the School of Information at UC, Berkeley. She studies human-computer interaction, with her research spanning education to healthcare to restorative justice. 

Her research interests are social computing, human-centered AI, and more broadly, human-computer interaction (HCI). Her work has been published and received awards in premier venues including ACM CHI, CSCW, and EMNLP and has been covered in Venture Beat, Wired, and the Guardian. She is a W. T. Grant Foundation scholar for her work on promoting equity in student assignment algorithms and is a member of the advisory board on generative AI at NVIDIA. She received her PhD in computer science from Stanford University in 2018.

Research Expertise and Interest

computer-mediated communication, human-computer interaction, artificial intelligence, community-engaged research / scholarship, research practice partnership, social justice research

In the News

EPIC Data Lab: Harnessing the Power of Computer Science to Help Society

Building data tools that allow people without programming backgrounds to benefit from the latest computer science advances, the EPIC Data Lab – short for Effective Programming, Interaction, and Computation with Data, a new UC Berkeley Lab, is collaborating with end-users like public defenders to understand what important messy data challenges exist in their fields.

Understanding and seeking equity amid COVID-19

In today’s Berkeley Conversations: COVID-19 event, Jennifer Chayes, associate provost of the Division of Computing, Data Science, and Society and dean of the School of Information, spoke with three UC Berkeley experts about how relying on data and algorithms to guide pandemic response may actually serve to perpetuate these inequities — and what researchers and data scientists can do to reverse the patterns.

Teaching

Courses taught during the three most recent terms
2026 Spring

  • Supervised Independent Study  [COMPSCI 199]  

  • Individual Research  [COMPSCI 299]  

  • Individual Study  [INFO 199]  

  • Individual Study  [INFO 299]  

2025 Fall

  • Individual Research  [COMPSCI 299]  

  • Senior Honors Thesis Research  [COMPSCI H196A]  

  • Individual Study  [INFO 299]  

2025 Summer

  • Information Management Practicum  [INFO 293]  

  • Individual Study  [INFO 299]  

2025 Spring

  • Supervised Independent Study  [COMPSCI 199]  

  • Individual Research  [COMPSCI 299]  

  • Individual Study  [INFO 199]  

  • Directed Group Study  [INFO 298]  

  • Individual Study  [INFO 299]