About

Amir Sepehri is a highly skilled statistician with 8+ years of experience in conducting research. His expertise lies in statistical modeling/inference, probabilistic/stochastic modeling, fairness/privacy/transparency/explainability in machine learning and AI models, anti-abuse AI, causal inference and large-scale experimentation, algorithms for large graphs, and social network analysis. Currently, Amir works as a Research Data Scientist at Facebook where he applies his knowledge to develop data-driven solutions. Prior to Facebook, he served as a Fellow at The Amena Center for Entrepreneurship and Development in Asia, the Middle East and North Africa, and as a Senior Machine Learning Researcher at LinkedIn. Amir holds a Doctor of Philosophy (PhD) in Statistics from Stanford University, where he conducted extensive research in his field. He also has a Bachelor of Science (B.Sc.) in Mathematics from Sharif University of Technology. Amir's tech stack includes Research Scientist, Data Scientist, AI, and ML. He has 6.19 years of relevant experience in the industry and has contributed significantly to the development of AI and ML models. Amir is a dedicated professional who is passionate about using his skills and knowledge to solve complex problems.