My paper has recently been selected among the top five papers submitted to the SRMS/GSS/SSS Student Paper Award competition at Joint Statistical Meeting 2020, Philadelphia, Pennsylvania.
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.