Peter Kaloev

Peter Kaloev is a math and data science enthusiast currently engaged as course staff at NYU Center for Data Science, focusing on Causal Inference. They have held positions such as Debt Investments Data Scientist at IFM Investors and Lead Data Engineer at Biokind Analytics. Peter's academic background includes a summer program in Economics, Mathematics, and Game Theory at the University of Chicago and A-levels from Highgate School. With extensive programming expertise in Python, Java, SQL, C++, React.js, Git, and Bash, Peter is passionate about the intersections of machine learning, AI safety, and their societal impacts.