Yawei Cheng

ad34nu@r.postjobfree.com 806-***-****

Highland Ridge Ave, Gaithersburg, MD 20878

SUMMARY

• 6+ years experience in data management, process, analysis, and report.

• 6+ years experience in statistical programming and modeling, proficient in R, SAS, SQL, python, C++ and MATLAB.

• 6 years experience in teaching fundamental statistics and mathematics courses.

• Extensive experience of longitudinal health/biomarker data analysis.

• Fast learner, collaborative team member with excellent multitasking and problem-solving skills. EDUCATION

• PhD • Texas Tech University • Lubbock, TX • Mathematics (Statistics Focused) 08/2021 – 08/2023

• MS • Texas Tech University • Lubbock, TX • Statistics 08/2017 – 05/2021

• MS • Texas Tech University • Lubbock, TX • Petroleum Engineering 08/2013 – 05/2015

• BS • Chongqing University of Science & Technology • Chongqing, China • Petroleum Engineering 08/2009 – 06/2013 SKILLS

Programming R, Mplus, SAS (BASE, STAT, GRAPH, PROC SQL, MACRO), Python, MATLAB, C++, SPSS Statistics Linear Model, Experimental Design, Bayesian analysis, Clinical Trails, Machine Learning Algorithms RELEVENT EXPERIENCE

Texas Tech University Lubbock, TX 08/2017 – 08/2023 Identified the association between 8 appetitive traits and body mass index (BMI) through an 18-month longitudinal study

• Analyzed the appetitive traits trajectory with latent growth curve modeling (LGCM)

• Explored the extent to which the changes in appetitive traits might explain changes in BMI over 18 months (4 waves) with parallel Latent growth curve modeling

Explored older adults’ latent cognitive function patterns, and associations with demographics, diet, and lifestyles to a three-wave longitudinal health data

• Classified longitudinal data into different classes based on select variables via growth mixture modeling (GMM)

• Applied latent profile analysis (LPA) to identify the latent subpopulations for elders’ cognitive function patterns

• Performed a latent transition analysis (LTA) to estimate the probabilities of transition for elders’ cognitive function patterns over time Identified the association between disordered eating, big-five personality, and psychological distress via a novel approach (network analysis)

• Applied EBICglasso function to reduce weight of unnecessary associations in the network

• Used the Fruchterman-Reingold algorithm to optimize the network layout

• Applied nonparametric and case-dropping bootstrapping methods to evaluate the network stability Investigated the bidirectional relationships among sleep quality, night eating and loss of control eating for a four waves longitudinal data

• Used longitudinal mediation analysis by applied and compared 4 cross-lagged panel models

• Applied multiple imputation for missing data to reduce the biases of selective attrition Side projects

• Performed data cleaning, variable selection, visualization, and analysis with R on making predictions for future vehicle price using machine learning models (linear regression, decision trees)

• Identified the variables that form the best model to predict wine quality by variable selection methods (principal component analysis

(PCA), lasso regression, and ridge regression

JOURNAL PUBLICATIONS

• Cheng, Y., Barnhart, W. R., Liang, G., Chen, G., Lu, T., & He, J. (2022). Appetitive traits and body mass index in Chinese adolescents: An 18-month longitudinal study with latent growth curve analyses. Obesity Research & Clinical Practice. http://doi.org/10.1016/j.orcp.2022.12.002

• Cheng, Y. & Liang, G., Barnhart, W. R., Chen, G., Lu, T., & He, J. (2023). A network analysis of disordered eating, big-five personality traits, and psychological distress in Chinese adults. International Journal of Eating Disorders. https://doi.org/10.1002/eat.24012

• Cheng, Y., Barnhart, W. R., Weng, H., Liang, G., Chen, G., Lu, T., & He, J. (2023). Patterns of Cognitive Functions in Chinese Older Adults and Associations with Demographics, Diet, and Lifestyle: Latent Class and Transition Analyses with Nationally Representative Data. (Under review)

• Weng, H., Barnhart, W. R., Cheng, Y., Chen, G., Cui, T., Lu, T., & He, J. (2022). Exploring the bidirectional relationships among night eating, loss of control eating, and sleep quality in Chinese adolescents: A four-wave cross-lagged study. International Journal of Eating Disorders, 1-10. http://doi.org/10.1002/eat.23800

• Liang, G., Barnhart, W. R., Cheng, Y., Lu, T., & He, J. (2023). The Interplay among BMI, body dissatisfaction, body appreciation, and body image inflexibility in Chinese young adults: a network perspective. Journal of Contextual Behavioral Science. https://doi.org/10.1016/j.jcbs.2023.07.004

• Weng, H., Barnhart, W. R., Cheng, Y., Cui, T., Lu, T., & He, J. (2023). Latent dietary patterns and associations with cognitive functions and psychological and physical well-being in Chinese older adults: Latent profile and transition analyses with nationwide cohort panel data. (Under review)

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