Fereshte Khani is a researcher at OpenAI since November 2023, with previous experience as a Senior Applied Research Scientist at Microsoft from November 2021 to October 2023, and as a Graduate Student at Stanford University from September 2016 to August 2021. Khani's research focuses on trustworthy machine learning, specifically examining issues of fairness, demonstrating that model discrimination can stem from noise in data and inductive biases in overparametrized settings. Additionally, Khani completed a Summer Research Internship at Google in 2014. Academic qualifications include a Doctor of Philosophy - PhD in Computer Science from Stanford University, a Master of Science - MS in Computer Science from the Massachusetts Institute of Technology, and a Bachelor's degree in Computer Engineering from Sharif University of Technology.
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