• Designed and implemented a User Microservice for tenant creation and user registration, and a Privilege Microservice to manage resource and control access for different tenants using Spring framework;• Improved the authorization feature of the website via Vue to dynamically display only components that users have access to;• Automated the process of privilege creation and resource management for internal application administrators.

• Implemented new feature to track user activity levels in an enterprise operation platform using Spring-Spring MVC-MyBatis framework, resulted in user level increase of 20%

• Conducted econometric and statistical analyses of large dataset using statistical software such as SAS and STATA• Performed linear regression modeling on payment and enrollment data for Center for Medicare & Medicaid Services (CMS)• Worked on risk adjustment model in CMS’ report to Congress to explain cost variation in medical claims; Increased fairness and detection of fraud in insurance reimbursement for over 1 million doctors nation-wide • Developed research files from large confidential datasets• Supervised a junior analyst, delegated programming tasks, and reviewed performanceAbout Acumen, LLC / The SPHERE InstituteAcumen, LLC / The SPHERE Institute conduct public policy research and statistical analysis on health programs at the national, state, and local levels. "Acumen, LLC was established by scholars from Stanford University in 1996. In conjunction with its affiliated nonprofit firm, the SPHERE Institute, Acumen offers practitioners a powerful policy analysis capability, providing specific, impartial advice and context for policy debates. Our team of professionals includes economists, analysts, and programmers who are skilled in the use of large-scale administrative data sources to formulate concrete solutions to complicated problems. By basing our research and forecasts on sound empirical foundations, we provide our public and private sector clients a data-driven view of their business."

Supervisor: Dr. Owen M. Wolkowitz, MD• Assisted translational clinical research in depression, investigating accelerated biological aging using neuroimaging, biological assays and cognitive testing• Conducted clinical interviews with potential participants to gather medical and psychiatric history and thus determine enrollment eligibility• Merged datasets using SPSS and Excel, and developed models that efficiently compared findings from two studies• Performed data entry in REDCap and scored cognitive testing

Supervisor: Professor Sheri L. Johnson• Conducted clinical research to study stress reactivity in healthy university students, and investigated emotion-relevant impulsivity as an underlying mechanism for severe mental illnesses• Conducted experiment to collect psychophysiological data such as heart rate, skin conductance, cardiac impedance and saliva sample using BioLab• Created and organized syntaxes in SPSS for scoring online questionnaire measurements obtained from Qualtrics• Performed fidelity check to evaluate how reliably different therapists delivered treatment across groups

Supervisor: Professor Joseph J. Campos, Dr. Minxuan He• Managed participant recruitment, equipment setup, data collection and entry for multiple projects• Quantified patterns of behaviors and speeches by transcribing video/audio into text-form data points using software Mangold Interact and Datavyu• Conducted assessments of cognitive ability for infants aged from 5 to 13-months-old• Contributed to critiquing grant proposal, pointed out a critical issue that led principle investigators to re-examine study design thoroughly, thus avoiding a potential criticism

Supervisor: Professor David Anderson• Coordinated the "choo-choo train" intervention study, investigating the role of agency in directing locomotor-devices among infants aged 7-9 months, involving 3 lab visits and 15 home training sessions• Liaised with various parties to coordinate scheduling, outreached to local community for publicity • Analyzed large database of birth records of Northern California in R, created efficient searching method for eligible subjects, resulting in marketing cost reduction by 40%• Supervised and trained a team of 5 lab assistants in subject recruitment, data collection and protocol implementation