• strong interests in machine learning, predictive model building, data science, and big data technologies • applying highly scalable Distributed R machine learning algorithms on large data sets • implementing machine learning algorithms in R and Python • 5+ years experience of numerical algorithms in C++, Python, and GPU • statistical learning and predictive model building

Data Scientist and Machine Learning Engineer @ From August 2015 to Present (5 months) Software QA Engineer @ • Working with developers to test Vertica Distributed R's highly scalable machine learning algorithms • Applying Distributed R machine learning algorithms to large data sets • Testing the integration of Distributed R with Vertica database system From November 2014 to August 2015 (10 months) Research Assistant @ • Focus on computational physics in condensed matter theory and specialized in algorithm developments, numerical simulations and related numerical methods. • Develop a new quantum Monte Carlo algorithm to study dynamics and quantum phase transitions. • Develop an efficient classical Monte Carlo simulation methods for studying spin-glass systems • GPU computing • Applying the above approaches to study traditionally hard problems such as spin-glasses, random graphs, and combinatorial optimizations. From September 2010 to October 2014 (4 years 2 months)

Doctor of Philosophy (PhD), Physics @ Boston University From 2010 to 2014 Master of Science (MS), Physics @ National Taiwan University From 2006 to 2008 Cheng Liu is skilled in: Machine Learning, R, Distributed R, Vertica, Algorithms, Fortran, Computational Physics, C++, GPU, Monte Carlo Simulation, Python, Scientific Computing, Data Structures, Statistical Data Analysis, DataXu