- Led a team of 90+ data scientists and analytics developers, overseeing performance, career development, training strategies, and technical growth communities.- Directed and contributed to 50+ projects, delivering advanced data analytics, predictive analytics, and machine learning solutions for federal and commercial clients.- Led the company’s first AI-centered project for a national behavioral health partner, delivering highly predictive solutions (ROC = 0.92) and tripling the client portfolio.- Co-authored 20+ technical reports, peer-reviewed journal articles, and whitepapers.- Serve as key personnel to lead the submission of multiple business proposals

- Led task in evaluating the statistical reliability and validity of health quality measures being used in various health payment programs. My role covers a wide spectrum such as designing analytic plan, creating programming specifics, leading routine discussions with team members, presenting findings to client and stakeholders, and drafting final technical report. - As the lead developer to build the corporate analytic dashboard "Stopping the Transmission of Opioids to the Next Generation" using RShiny. Researchers from Mathematica have used this tool for external outreach and client briefing. Dashboard url: https://stop-nextgen.mathematica-mpr.com/- Formulated and documented the mathematical framework of a vintage microsimulation model; updated the model to better forecast different policy reforms' impact on eligible household's participation to the Supplemental Nutrition Assistance Program (SNAP). - Built interactive visualization to present analytic discoveries from various data sources and facilitate internal/external communication. - Review, assess and rate the rigor of research studies on educational interventions using single case design and visual analytics for the US Department of Education.

- Provided statistical and methodological consultant on evaluating reliability of clinical quality measures. - Conducted power analysis in the analytic plan design phase to ensure the statistical power of the next round sampling strategy.- Provided recommendation for the client to enhance the reliability of their payment adjustment scoring methodology by exploratory data analysis and simulations.- Led or contributed to the drafting of technical analysis summaries, memoranda, and formal reports.

Analyzed a three-year user data log of the supercomputer Kraken and uncovered the users’ queuing time pattern for improvement of future user experience and applied statistical predictive models to guide supercomputer users in the selection of their optimal input parameters.

I led the course as an instructor with full responsibility. - Created course syllabus- Maintained course interaction site on Blackboard - Prepared class handouts/notes- Led review/discussion sections- Made class exams/quizzes/projects- Tutored undergraduate at the University Math Tutorial Center Courses taught: Statistical Reasoning, Matrix Computation, Finite Mathematics, College Algebra, Computer Literacy for Math, Calculus I.

- Developed a statistical model and implemented the approach in R to improve the performances of scientific applications running on supercomputer Kraken.- Analyzed a workload data set with over 900,000 observations from supercomputer Kraken. Applied Data Mining techniques to uncover hidden patterns and used machine learning approaches (Bayesian analysis, Markov Chain Monte Carlo, etc.) to predict supercomputer's scheduling system.

I taught three recitation sections of College Algebra in fall 2008 and two recitation sections of Basic Calculus in spring 2009. - Led discussion sections - Gave quizzes & exams- Assisted students to solve remaining questions from the main lectures