Research Assistant

Manjing(Mandy)Chen

+1-202-***-**** ***************@*****.***

https://www.linkedin.com/in/manjing-chen-497452229/ 1111 Arlington Boulevard, Arlington, Virginia, 22209 EDUCATION

Georgetown University, Washington, DC Aug 2021 - Dec 2022 Master of Biostatistics

Core Courses: Experimental Design/Clinical Trials, Survival Analysis, Categorical Data Analysis, Principles of Epidemiology, Machine Learning for Bioinformatics

Beijing Normal University – Hong Kong Baptist University United International College (UIC) Bachelor of Science in Statistics Sep 2017- Jun 2021 Awards: Ching-Fai Shuk Wah Leadership Scholarship (Conveyed to only five students annually) Core Courses: Linear and Integer programming, Simulation, Data analysis Using R, Applied Stochastic Process SKILLS

Programming Languages & Tools: SAS, R, Python, C, SQL, MATLAB, Lingo, Command Line Specialization: Machine Learning (Linear Regression, Logistical Regression, SVM, Decision Tree, Random Forest, ANN, CNN, etc.), Hypothesis Testing, Microsoft Excel Expert (office 2016) Languages: Chinese (native), Cantonese(native), English (fluent) EXPERIENCE

Georgetown University Washington, D.C.

Research Assistant, Department of Biostatistics, Bioinformatics and Biomathematics Febury 2022 – recent Topic: Identification of micro-RNAs in stroke patients that contribute significantly to therapeutic outcomes.

• Using Limma package (R Language) to do difference analysis between "Excellent" and “Poor" for each normalized micro-RNA, calculated p-value and/or FDR to select a list of significant micro-RNAs.

• Run PCA, Clustering/Heatmap, Classification (e.g., LASSO, Random Forest) and calculate ROC, etc. Georgetown University Medical Center Washington, D.C. Student Research Assistant, Department of Oncology October 2021 - December 2021 Topic: Identification genomic targets of nuclear hormone receptors in response to diverse ligands.

• Mining The Cancer Genome Atlas (TCGA) dataset to identify non-coding SNPs and coding mutations of interest in a hypothesis-driven manner.

• Identify genes differentially activated by various estrogen receptor ligands.

• Classifying receptor-binding motifs (RBM) and mapping the distribution of hormone receptor from ChIP-seq. PROJECTS

Final Year Project Zhuhai, China

Topic: Fossil Data Analysis and Visualization Using Python May 2020 – Jan 2021

• Used logistic regression to obtain the first occurrence of fossil sites from the collected dataset contains 67,913 sample data and focuses on 7 variables.

• Using the Geopandas package in Python, to create a map of the world that reflects the spatial and temporal correlation between fossil distribution and quantifies the points. Regression Analysis Using R Project Zhuhai,China

Topic: Using regression models to analyze which building factors influence Cooling Load of building April 2019

• Collected dataset comprises 768 samples and 8 features, aiming to predict two real valued responses.

• Using R to do the sample regression diagnosis, which includes sample normal distribution hypothesis test, residual analysis, outlier analysis and chi-squared analysis.

• Perform model adjustment, using the Y-transformation (box-cox) and the method of removing outliers. ACCOMPLISHMENTS

Organizations: Member of International Chinese Statistical Association (ICSA) Leadership & Activities:

• Project founder of UIC Enactus & Cyber College Project, led eight members to participate in teaching elementary school students Scratch programming classes for three semesters, won Bronze Award of CSEC Innovation & Entrepreneurship Competition;

• Project manager of Zhuhai Ancient Villages Protection Project, won Excellence Award in the 7th Chinese College Students' Public Relations Planning and Entrepreneurship Competition

• Judge of Public welfare Project Competition organize by Guangdong Yu Public Welfare Foundation

• Teaching assistant of UIC Whole person Education department, leading students for event planning

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