Xinyi Liu, MS

SKILLS

Skillsets: Data Analysis, Clinical Trials, Simulation Analysis, Survival Analysis, Predictive Modeling, Statistic Model Processing, Data Mining, Longitudinal Data Analysis, Repeated measurement Analysis Software: R, SAS, SPSS, STATA, S Plus, Access, Epidata, SQL, Python, Latex, C, MEGA, PymolWin, Microsoft Office Suite Software, Adobe Photoshop

Certification: SAS Certified Base and Advanced Programmer for SAS 9, EDUCATION

Georgetown University, Graduate School of Arts& Science Washington, DC Master of Science, Biostatistics (GPA: 3.938/4.00) December, 2016 Main coursework: Clinical Trails, Quantitative Data Analysis, Linear Models & Mulvar Analysis, Survival Analysis, Categorical Data Analysis, Consulting, Bioinformatics for Omics Data Thesis: Utilizing Bayesian PCA on Gene Expression Data Membership: American Statistical Association, the New York Academic of Science Shandong University, School of Life Science Jinan

Bachelor of Science, Biology (GPA: 3.98/4.00) June, 2015 Thesis: The Genome Comparative between Sporocytophaga myxococcoides and Cytophaga hutchinsonii UCLA Summer School Los Angeles

Molecular Biology September, 2013

RESEARCH EXPERIENCE

Georgetown University, Department of Medicine Washington DC Biostatistician Assistant, Multicenter AIDS Cohort Study/Women's Interagency HIV Study 01/2016-12/2016

Accomplished deep understanding of protocols, pooled legacy datasets and extracted data

Explored MACS/ WIHS database to identify variables of interest, cleaned and created data sets for analysis.

Applied SAS SQL and Macro language to conduct data manipulation and descriptive statistical analysis

Analyzed AIDS disease’s hazard factors and patients’ polypharmacy and applied appropriate statistical model

Design SAS Macro and other utilities to expedite SAS programming activities

Collaborated with research scientists on study design and analysis of multi-center cohort study

Created code book, summary table, visual graphics and reports of publications Georgetown University, Department of Biostatistics,Bioinformatics & Biomathematics Washington DC Research Assistant 09/2015-now

Data mining, data visualization, sample size calculation, power calculation and clinical trial design

Calculate propensity score matching to adjust for confounding covariate using multivariable logistic regression

Conducted estimation, simulation and hypothesis testing for subgroup analysis with binary responses

Applied advanced statistical model(Mixed effect ANOVA, LASSO, PCA) in high dimensional omics data

Conducted Kaplan-Meier method, Log-rank test and Cox model to estimate survival rate and risk in medical data

Used C-statistics and NRIs to evaluate prediction model and did casual effect analysis

Explained the statistical considerations for the experimental designs of projects and developed protocols and reports Summer Intern / Associate Statistical Programmer 06/2016-09/2016

Applied statistical models for advanced longitudinal data to explore drug effect

Generated the D-optimal design for estimating 4-paprameter hill model and conducted simulation analysis

Applied linear and log linear to design experiments for finding out the best combination of multiple drugs Shandong University, Department of Life Science Shandong, China Research Associate, Leader of National Science Fund College Student Research 03/2013-05/2015

Completed the genome comparative in gene quantity, sequence alignment, metabolic pathway and domain analysis

Built the phylogenetic tree and drew active central sequence

Find out the biological chassis of the Family Cytophagaceae, and provided ideas for gene modification to increase degrading cellulose function

Completed the intact spatiotemporal expression of the target gene in the early state of embryo development

Used nocodazol to obtain the spatiotemporal expression of the target gene at specific time points of embryo treated

Finished the functional study of the gene by knock-down using morpholino, knock-out using Cas9 and TALENs and over-expression of the target gene

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