Yazeed Awwad is a Research Associate at the Center for Complex Engineering Systems focusing broadly on computational social sciences. He has a deep background in Bayesian inference and econometrics, network science, high-dimensional multivariate statistics, and unsupervised machine learning particularly dimensionality reduction. He also has substantial research experience with deep learning and supervised machine learning, particularly on the topic of algorithmic fairness for management in which he has multiple papers in top publications including two FT50 (Financial Times 50) journals.
Yazeed has a bachelor’s degree in computer science from the University of Ottawa, a professional Master of Arts in Economics from Boston University, and a research Master of Science from the MIT Media Lab specializing in data science & visualization for high-dimensional data. His research passion revolves around using spectral theory, network science, and combinatorics in conjunction with theories of evolutionary complex systems in order to quantify confounding phenomena such as the evolution of innovation and knowledge and the emergence of innovation hotspots.