This year, I had the chance to participate in the Summar School on Modern Methods in Biostatistics and Epidemiology in Venice, Italy in June 5-9th, 2016. The main course I attended was the Statistical Methods for Population-based Cancer Survival Analysis by Prof. Paul Dickman and Prof. Paul Lambert, and I was very pleased with advance and high-quality contents of the course as well as the friendly atmosphere of the class. I also highly appreciate Prof. Zendehdel, who fully supported my travel and provided me with this great opportunity. During the course, I also got the opportunity to walk around Venice. I have taken some photos that you can view here.
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.