I am very delighted to announce that I am selected among the two recepients of the Edward C. Bryant Scholarship for an Outstanding Graduate Student in Survey Statistics in 2020. Hereby, I would like to thank my advisors, Professors Michael R. Elliott, Carol A.C. Flannagan, and Roderick J.A. Little, for their strong support and encouragement. My gratitute also goes to the MPSM and the excellent environment and opportunities it provides students with. I also appreciate the respected award committee members for their generous decision on nominating me for this prestigious award. Here you can find the MPSM facebook post on this award: https://www.facebook.com/UM.PSM/posts/4249692928390219
arafei
Seasoned statistician and data scientist with 10+ years of combined industry and academic experience in coding, deploying ML models and algorithms with more focus on data fusion, causal inference, anomaly detection, and Bayesian computations using petascale organic data; expert in the design and analysis of complex samples, NN & DL, feature selection, model evaluation, NLP, Monte Carlo simulations, network analysis, A/B testing, uncertainty quantification, time-series analysis, revenue optimization, and responsible AI; author of multiple open-source projects (GitHub) and 40+ research articles published in top tier journals with 1,250+ citations received (GScholar); Strongly passionate about developing scalable methods that establish a unified framework for mitigating fairness and propagating uncertainty when training deep generative models using Bayesian approaches.