Data Research

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Curriculum Vitae

Personal Information:

Name: Yong Yang

Telephone: 848-***-**** E-mail: **********@*****.*** Address: 8 Bartle CT, Apt. A, Highland Park, NJ 08904 Visa Status: Green Card holder

Education:

2016 ~2017 M.S. degree in Statistics GPA: 3.95/4.0 Department of Statistics and Biostatistics, Rutgers University Courses: Regression (A), Probability (A), Method of Statistical Inference (A), Interpretation of Data I (A), Design of Experiments (A), Life Data Analysis

(A), Basic Applied Statistics (A), Nonparametric Statistics (B+), Biostatistics I (A), Categorical Data Analysis (A) 2002~2007 Ph.D degree in Biochemical and Molecular Biology Peking Union Medical College, Tsinghua University

1998~2002 Bachelor degree in Pharmacology, Department of Pharmacy, Wuhan University Bachelor degree in Marketing, Department of Business, Wuhan University Skills and Certificates:

Language: Fluent in English and Mandarin Chinese

Computer: Expert in R, Excel and advanced SAS Programming including SQL and Macro Strong Excel skills and Power Point skills

Knowledge of CDISC standards for CDASH, SDTM and ADaM and FDA regulations Frequent user of MATLAB

Knowledge of Python, MySQL

Certificates: SAS Base Programming (score: 95%), SAS Advanced programming for SAS 9 (score: 98%), SAS Clinical Trials Programming Using SAS 9 - Accelerated Version (score: 90%) Selected Projects:

1. Survival analysis of PBC data.

Data: Mayo Clinic trial in primary biliary cirrhosis (PBC) of the liver conducted between 1974 and 1984 including 424 PBC patients with 20 variables SAS procedures used: proc lifetest, proc lifereg, proc phreg and proc nlmixed Conclusion: Under non-parametric analysis, we selected 7 potential variables by checking the 17 covariants. There was no significant difference between two treatments. We fited COX proportional hazard model and parametric model with weibull distribution for further residual analysis.

2. Comparison of low income housing in New Jersey, Oklahoma and Colorado. Data: US census data of three states

SAS procedures used: proc freq, proc univariate, proc anova, proc logistic and proc mixed Conclusion: Logistic regression, Lasso and Elastic Net Models were performed. We found 3 variables were relevant for predicting the affordability of housing in three states. 3. Hospital selection to increase sales of orthopedic equipment. Data: 3000 hospitals in the US chosen at random

SAS procedures used: proc import, proc univariate, proc factor, proc score, proc cluster, proc tree, proc means, proc reg and proc genmod

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Conclusion: Exploratory data analysis uncovered right skew of all non-binary variables. Through case selection, transformation, factor analysis, cluster analysis and Regression, we recommended 5 hospitals as target markets. Research and Professional Experiences:

2011.7~present Research Associate, Rutgers University Job Duty: Conduct in research to understand the mechanisms of sleep using Drosophila; Leadership role in research activities including: research project development and management, training laboratory personnel, acquiring research funding; Presentation in international meeting; Writing proposal and papers; Collect and clean the raw data by Matlab and Excel, analyze the data and generate charts by SAS such as proc ttest, proc anova, proc freq, proc gplot and proc gchart for presenting and publication. 2010.7~2011.6 Postdoctoral Fellow, Thomas Jefferson University Job Duty: Conduct in research to understand the mechanisms of sleep using Drosophila; Leadership role in research activities; Collect the raw sleep data and analyze by Matlab, R and Excel; Writing proposal and papers; Presentation in international meeting. 2010.4~2010.7 Postdoctoral Researcher, University of Pennsylvania Job Duty: Conduct in research to understand the mechanisms of sleep using Drosophila; Leadership role in research activities; Collect the raw sleep data and analyze by Matlab, R and Excel; Writing proposal and papers; Presentation in international meeting. Selected Research Articles:

1. Yong Yang, Yinyan Sun, Xin Luo, Yuxia Zhang, Yaoyao Chen, E Tian, Robyn Lints, and Hong Zhang (2007) Polycomb-like genes are necessary for specification of dopaminergic and serotonergic neurons in Caenorhabditis elegans. PNAS 104:852-857. 2.Sha Liu, Angelique Lamaze, Qili Liu, Masashi Tabuchi, Yong Yang, Melissa Fowler, Rajnish Bharadwaj, Julia Zhang, Joseph Bedont, Seth Blackshaw, Thomas E. Lloyd, Craig Montell, Amita Sehgal, Kyunghee Koh, and Mark N. Wu (2014) WIDE AWAKE Mediates the Circadian Timing of Sleep Onset. Neuron 82(1):151-166.

3.Yong Yang, Won Suk Lee, Xia Tang, and William Wadsworth (2014) Extracellular Matrix Regulates UNC-6 (Netrin) Axon Guidance by Controlling the Direction of Intracellular UNC-40

(DCC) Outgrowth Activity. PLOS ONE, 2014 May 13;9(5): e97258. Selected Research Presentations/Invited Talks/Posters: 1. Y.Yang and K. Koh. (2011). A novel gene, wide-awake, promotes sleep and wake through different brain region in Drosophila. Fly group meeting at Thomas Jefferson University. 2.Y. Yang. (2013).” wide-awake, a novel gene is involved in both sleep-promoting and awake- promoting in Drosophila”. Invited talk at LBMB, NCI, NIH. 3.Y.Yang and I. Edery. (2017). A temperate-tropical in splicing of the per 3’-terminal introl and mid- day siesta in Australian Drosophila melanogaster populations. Annual Oral presentation at Annual CABM Retreat, hosted by CABM, Rutgers University.

Professional Services:

Membership of: Society for Neuroscience (SFN); Genetics Society of America (GSA) Reviewer for: Journal of Autonomic Neuroscience: Basic and Clinical; Journal Acta Neurologica Belgica

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