Moe Vazifeh is a Theoretical Physicist. He has been working at Massachusetts Institute of Technology (MIT) as a Data Science/AI researcher since 2015. At MIT his focus has been centered around mining and modeling complex patterns in large-scale urban data as well as devising novel optimization and machine learning algorithms.
His work has been published extensively in top physics journals. (>600 citations).
He serves as a referee for several scientific journals including Physical Review Letters, Physical Review B, Physica A, Annals of the American Association of Geographers and IEEE Intelligent Transportation Systems Magazine.