Xiaochen Wang Email & Phone Number

New York, Ny, Us

美国 大纽约地区

• Developed efficient learning algorithm of continuous-time hidden Markov model to capture disease progression of heart failure; will present results on INFORMS 2017 annual meeting.• Identified common blood pressure trajectories in elderly patients with hypertension and determining their association with cardiovascular morbidity and mortality.• Predicted drug combination effects on different people using machine learning methods (random forests, neural networks, SVM, and elastic net) in collaboration with four graduate students and one undergraduate student.

• Worked 20 hours a week; led weekly lad sessions with 30 students; prepared lab sessions slides; clarified key themes from that week’s readings and lectures and taught students SAS and R commands to facilitate data analysis.• Designed homework assessment rubric; taught students how to write journal articles.

Center For Outcomes Research And Evaluation

• Cleaned datasets containing 1.7 million people; constructed data analysis pipeline using R to frame the situation about risk factors and treatment of cardiovascular diseases in contemporary China.• Communicated highly technical issues to three physicians and epidemiologist on weekly meeting; edited journal articles.• Our work was accepted by The Lancet, one of the best known general medical journals.

New York, United States

Cambridge, Ma

• Developed novel simulation methods using electronic medical records to advance clinical trial design.

Doctor Of Philosophy (Phd), Biostatistics

Bachelor Of Science (Bs), Mathematics