Olga Russakovsky

Olga Russakovsky is an Associate Professor of Computer Science at Princeton University, renowned for her outstanding contributions to the fields of computer vision and machine learning. She is one of the leaders of the ImageNet database and visual recognition challenge, which has driven significant advancements in large-scale data utilization and research in artificial intelligence. Her research focuses on mitigating social and historical biases in visual recognition and developing computational methods to promote algorithmic fairness. She is also a board member of AI4ALL, working to enhance diversity in the field of artificial intelligence through education. Her work is highly recognized in academia and beyond, with MIT Technology Review naming her one of the world’s top 35 innovators under the age of 35.

• 2015–Present·Princeton University·Associate Professor
  • Researching computer vision and machine learning with a focus on algorithmic fairness and reducing social biases.
• 2015-2016·Carnegie Mellon University·Postdoctoral Research Fellow
  • Conducted cutting-edge research in the field of computer vision.
• 2010-2015·Stanford University·Image Classification Researcher
  • Worked with Fei-Fei Li on developing the ImageNet database and optimizing image classification algorithms.

• 2010-2015·Stanford University·Ph.D.
  • Focused on research in computer vision under the mentorship of Fei-Fei Li.
• 2006-2010·Stanford University·Bachelor’s Degree
  • Majored in mathematics, laying the foundation for subsequent research in computer science.