Niloufar Salehi

Niloufar Salehi is an American-Iranian computer scientist and currently an associate professor at the School of Information, University of California, Berkeley. Her research spans social computing, human-computer interaction (HCI), human-centered artificial intelligence (Human-Centered AI), and digital labor. She focuses on designing computational social systems to enhance interaction and collaboration in online communities. Her work has been published in leading conferences such as ACM CHI, CSCW, and EMNLP, earning multiple awards. Her research addresses areas like education, healthcare, and restorative justice, aiming to advance social equity through technology. She also serves as a member of NVIDIA's Generative AI Advisory Board and has received funding from the W. T. Grant Foundation for her research on fairness in student assignment algorithms.

• 2018 – Present·School of Information, University of California, Berkeley·Associate Professor
  • Research focus includes social computing, human-computer interaction, human-centered artificial intelligence, digital labor, community algorithm design, and restorative justice.
  • Designs alternative social configurations for online systems through collaborations with communities, controlled experiments, and field studies.
  • Conducts impactful research, such as studies on school assignment algorithms, online content moderation, and machine translation technology in high-risk scenarios.

• 2013 – 2018·Stanford University·Ph.D. (Computer Science)
  • Studied the design of collective action, developing technologies to support organizing in online communities.
  • During her doctoral research, created the Hive system and Dynamo platform to help online communities synthesize perspectives and organize.
• 2007 – 2011·Sharif University of Technology·B.Sc. (Computer Engineering)
  • Developed a strong interest in mathematics and computer science during her undergraduate studies, laying the foundation for future research.