12-Week Data Science Bootcamp

Dr. Max Kuhn is a Director of Non-Clinical Statistics at Pfizer Global R&D in Groton Connecticut. He previously worked at Becton Dickinson (BD) developing molecular diagnostics for infectious diseases. Max is the author/maintainer of several R packages for predictive modeling such as AppliedPredictiveModeling, caret, Cubist, C50 and SparseLDA. He routinely teaches classes of predictive modeling at Predictive Analytics World and UseR! and his publications include work on neuroscience biomarkers, drug discovery, molecular diagnostics and response surface methodology.

Mr. Elbert has been dealing with big data for over 20 years. From calculating financial risk for Salomon Brothers to tracking the movements of millions of items across the supply chain for major brands, Mr. Elbert pushed innovative data analysis to new frontiers. As VP of Quantitative Analytics for Barnes & Noble, Mr. Elbert used a plethora of data to offer his customers a unique in-store and digital experience. Having joined Gilt.com as Principal Data Scientist, Mr. Elbert is supporting Gilt’s mission to create the most exciting, curated shopping experience that helps company’s customers find and express their style.

Owen Zhang is the Chief Product Officer at DataRobot. Owen spent most of his career in the Property & Casualty insurance industry. More recently, Owen served as the VP of Modeling in the newly formed AIG Science team. Owen discovered his passion in Machine Learning and started building insurance underwriting, pricing, and claims models. Owen Zhang is ranked #1 among 246,000+ Data Scientists at Kaggle.com.

Andreas is an Assistant Research Scientist at the NYU Center for Data Science. He built a group to work on open source software for data science. Previously he worked as a Machine Learning Scientist at Amazon and worked on computer vision and forecasting problems. He is one of the core developers of the scikit-learn machine learning library and maintained it for several years.