Hello and thanks for stopping by! 

My name is Amirata Ghorbani (A-mi-RAH-tuh GOR-bah-nee, امیرعطا قربانی). I am currently a quantitative researcher at a proprietary quantitative trading firm working on various applications of machine learning in finance. Prior to that, I completed my PhD at Stanford University and I was lucky to be advised by James Zou.

I work on different problems in machine learning and throughout my PhD journey. I have done research on equitable methods for data valuation, algorithms to interpret machine learning models, ways to make existing ML predictors fairer, and creating ML systems for healthcare applications such as cardiology and dermatology. 

I also enjoyed working as a research intern in Google Brain, Google Brain Medical, and Salesforce Research. Before joining Stanford, I got my bachelor's degree in  Electrical Engineering from Sharif University of Technology after doing some work in Signal Processing and Game Theory.