Machine Learning Data Science

HELEN LIANG

**********@*****.*** +1-707-***-**** LinkedIn GitHub

EDUCATION

New York University May 2025

M.S. in Biostatistics; Advanced Certificate in Public Health Data Science GPA: 3.9/4.0 New York, NY

• Relevant Coursework: Machine Learning, Causal Inference, Survival & Longitudinal Analysis, Missing Data, R, SAS. University of California, Merced Dec 2020

B.S. in Biological Sciences; Pre-Veterinary Track Merced, CA

• Relevant Coursework: Biostatistics, Math Modeling for Biology, Calculus I – III, Linear Algebra.

• Awards and Honors: Dean’s Honor List.

PROFESSIONAL EXPERIENCE

New York University Sep 2024 – May 2025

Graduate Course Assistant Course: Psychometric Measurement and Analysis New York, NY

• Supported 100+ students with R and Stata programming and course content through weekly office hours and email.

• Graded midterms and R code assignments, providing feedback on psychometric concepts including reliability, validity, intraclass correlation, and factor analysis.

NYU Biostatistical Consulting Lab Oct 2024 – May 2025 Graduate Research Assistant New York, NY

• Cleaned, recoded, and merged patient and caregiver survey data from 5000+ dementia records, using the mice package in R for multiple imputation across 100+ variables.

• Conducted multivariate and logistic regression analyses to examine racial and ethnic disparities in nursing home placement, identifying unmet needs in social engagement and assistive device access.

• Presented findings to faculty and community stakeholders; collaborated with interdisciplinary teams to develop culturally responsive recommendations.

DNM Data Solution, LLC Jul 2024 – Jan 2025

SAS Programmer Intern Remote

• Cleaned and formatted gynecological cancer trial data to CDISC-SDTM standards; automated formatting using SAS macros and conducted analyses using PROC LIFETEST, PHREG, and LOGISTIC.

• Generated clinical reports, performed survival analysis with hazard ratios and Kaplan-Meier curves, and validated datasets through peer review to ensure accuracy and compliance. RESEARCH EXPERIENCE

NYU Evidence to Global Impact (E2GI) Lab Sep 2024 – Present Graduate Research Assistant Faculty Advisor: Dr. Corrina Moucheraud New York, NY

• Clean, merge, and recode raw survey datasets from 300+ participants in Malawi using R; edit the codebook and complete 9/19 results tables for a manuscript on HPV vaccine acceptability.

• Conduct descriptive and inferential analyses in Stata to examine constructs such as vaccine hesitancy and knowledge across participant characteristics; draft the Methods and Discussion sections.

• Abstract accepted by the Annual Symposium on Global Cancer Research (ASGCR). SKILLS

• Programming: R (tidyverse, ggplot2, glmnet), SAS, Python (Pandas, Matplotlib), STATA, SQL.

• Technical Skills: Regression Analysis, Deep Learning, Data Visualization, Data Manipulation, Big Data Query.

• Tools: Excel (PivotTable, VLOOKUP), Tableau, MySQL, RStudio, Jupyter Notebook, LaTeX.

• Certifications: SAS Base Programming

• Languages: Bilingual Fluency in English and Mandarin; Japanese (Proficient).

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