large-scale data modeling/analysis, machine learning, text mining, R, matlab, Python, C, SQL, MapReduce, Hadoop streaming, git

Data Scientist @ From August 2014 to Present (1 year 5 months) Research Assistant @ Functional data analysis, program, ran extensive simulations and developed theories for data models. Specifically: • Dynamic modeling - developed a novel nonparametric, data-driven model to investigate the dynamic of time-course data, improving the accuracy for prediction of future trajectories (paper published on BIOMETRICA) • develop novel Functional regression analysis models • Wrote and maintained matlab package for functional data analysis Data analysis and visualization on large-scale networks/brain-images/auction-prices/ housing-prices data From March 2010 to June 2014 (4 years 4 months) Teaching Assistant @ Generalized linear models (graduate-level): - designed tutorials for computing tasks - led labs/discussions - graded homework/projects, discussed with students about data modeling and diagnosis - led lectures occasionally. From September 2009 to June 2014 (4 years 10 months) Statistics Analytics Intern @ - Built scalable statistical models for high-dimensional, big-volumes of laptop sales data; - Established modeling of product clusters by clustering methods to simplify the product chain; - Applied combined knowledge and experience in statistics, machine learning, marketing, operation research. - Increased market-share forecasting accuracy. From June 2012 to December 2012 (7 months) Data Analyst Intern @ • Data Mining of ADNI (Alzheimer’s Disease Neuroimaging Initiative) Database: implemented generalized linear (logistic, etc.), nonlinear models and dimension reduction technique to detect prodromal Alzheimer’s Disease • Translated statistical concepts and results to non-statistical collaborators in plain language. • Generated automatic latex reports by scripts. From June 2010 to December 2010 (7 months)

Doctor of Philosophy (PhD), Biostatistics @ University of California, Davis From 2009 to 2014 Bachelor, Statistics @ Peking University From 2005 to 2009 Wenwen Tao is skilled in: R, Statistical Modeling, Matlab, Machine Learning, Mathematical Modeling, LaTeX, Statistics, SAS, Data Mining, Statistical Consulting, Algorithms, Mandarin, SQL, Data Analysis, MySQL, Python, C++