Fang Yang Email & Phone Number

Solana Beach, California, United States

- Utilize in-depth knowledge of key healthcare databases including MarketScan, Optum, and OM1 to drive advanced data analysis and actionable insights, facilitated by fostering close and collaborative relationships with epidemiologists through effective communication.- Lead statistical data analysis to assess drug efficacy for diseases like PSO and PSA using SQL, SAS, and Databricks, involving writing, testing, and validating programs.- Employ survival analysis and regression (linear and logistic) models to identify significant patient covariates, supporting drug efficacy studies aimed at enhancing patient care. This analytical work contributed to several peer-reviewed publications.- Developed and authored clear and accurate technical training documents for software tools, significantly enhancing training efficiency and reducing onboarding time for new employees.

San Jose, Ca

❏ Collaborate with cross-functional medical professionals to develop a comprehensive approach to reduce BSI (Bloodstream Infection) rate. 1) Collect, understand and model patient BSI specific information and various other risk factors. 2) Evaluate and improve BSI control programs across more than 50 facilities nationwide.❏ Develop entire set of analysis and validation scripts with extensive usage of SQL, SAS and R; and implement these scripts as automation tasks to produce timely and accurate reports.❏ Improve both efficiency and accuracy with regard to BSI tracing, verifying and reporting to National Healthcare Safety Network. 1) Develop SAS, R and Access software packages for quality control and operation teams. 2) Build graphical reporting tools with Tableau for company senior management.❏ Collaborate with medical professionals to develop and maintain various tools (SAS Macro, SQL, R) for the purpose of decreasing hospitalization. 1) Create comprehensive hospitalization reports for more than 50 dialysis facilities. 2) Educate clinicians to use reporting tools to investigate and improve less-performant clinics.❏ Work closely with clinicians to establish dialysis drug use protocols adopted by more than 50 clinics; perform end-to-end data analysis and modeling for drug conversion with continuous feedback loop.❏ Assist medical project managers for patient follow-ups and the evaluation of nocturnal programs in more than 10 medical facilities.

Ann Arbor, Mi

■ Leading the statistical analysis for a fetal assessment study of more than 300 patients in Africa by indentifying important clinic variables and determining appropriate statistical methods and procedures. ■ Collaborating with medical directors, physicians, and faculty members in China and the US to initiate future research on mental health.■ Provided statistical support for an internet addition research in China by analyzing more than 5,000 records using SAS (PROC SQL, GLM, LOGISTIC, and etc.) and R.■ Participated in an NIH grant application by performing related statistical analysis and summarizing initial results.■ Organized and analyzed IRB data from more than 800 international studies to provide evaluation reports on human subjects research risk factors. ■ Designed survey questionnaires and procedures for a diabetes registry used by several hospitals in India.

Ann Arbor, Mi

■ Performed both basic and advanced statistical analyses such as t-test, linear regression, and longitudinal methods (SAS PROC MIXED) on clinical data from the UM Diabetes Registration, Medicare, and etc.■ Defined research related clinical variables via communications with physicians and faculty members; provided statistical support for grant proposals, research presentations, and etc.■ Produced statistical graphics using SAS PROC GPLOT and R Lattice package and generated descriptive summaries using SAS PROC TABULATE, PROC REPORT and Excel. ■ Managed various databases such as UM CareWeb and HSDW through extensive usage of SAS PROC SQL.■ Further improved statistical knowledge and analysis skills by auditing two master-level courses in the Department of Biostatistics (BIOS650: Linear Regression and BIOS653: ANOVA and Linear Mixed Models).

Chicago, Il

■ Performed data analysis for financial report, accounting statements, and auditing purposes.■ Assisted the decision making process by analyzing stock and sales data.■ Controlled general stock, and decided sales plans.■ Produced sales analysis and product reports.

Oakbrook, Il

■ Created and updated departments first-ever database tracking over 90 major research projects spanning 15 years.■ Worked closely with a team of 7 project directors, helping to obtain accurate and timely collection of data.■ Developed a comprehensive survey coding database with 152 fields used to interpret questionnaires from 60 hospitals nationwide using SPSS.■ Communicated simultaneously with 7 project directors, and effectively obtained and organized hospital accreditation data.

Chicago, Il

■ Analyzed mortality rates in the Untied State to investigate correlation between healthcare expenditures and quality using SAS.■ Researched more than 20 secondary sources to help support expenditure research.■ Calculated and compared population growth for both Canada and US to help determine per capita expenditure.

Chicago, Il

■ Analyzed accreditation standards for both CARF and JCAHO, helping increase speed of successful accreditation processes in a short preparation time period. ■ Investigated more than 700 accreditation criteria across both CARF and JCAHO.

Master Of Public Health (Mph), Health Management / Biostatistics

B.S, Computer Science (Business Applications Concentration), Computer Science