Feiyun Yan
Biostatician I at University of Utah- Claim this Profile
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Bio
Experience
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University of Utah
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United States
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Higher Education
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700 & Above Employee
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Biostatician I
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Jun 2023 - Present
Meet with investigators and develop statistical analysis plans under the guidance of senior statisticians. Data analysis, interest in new statistical methods, and mastery of at least one statistical programming language. Data cleaning, database preparation and management in R, SQL or Python Meet with investigators and develop statistical analysis plans under the guidance of senior statisticians. Data analysis, interest in new statistical methods, and mastery of at least one statistical programming language. Data cleaning, database preparation and management in R, SQL or Python
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AoneMed
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Shenzhen, Guangdong, China
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Data Engineer
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Jun 2022 - Aug 2022
Developed statistical models to predict Polycystic ovary syndrome (PCOS) for Asian women by cleaned-up data and compared data from blood biochemical tests and 6 types of estrogen tests Selected biomarkers in 135 types of organic acids tested from urine and created statistical models for urinary stone risk prediction with PCA, LDA, LASSO, random forest, bootstrap, PLS-DA, OPLS-DA, and SVM. Optimized models and achieved the highest AUC score of 95% with Random Forest. Established R… Show more Developed statistical models to predict Polycystic ovary syndrome (PCOS) for Asian women by cleaned-up data and compared data from blood biochemical tests and 6 types of estrogen tests Selected biomarkers in 135 types of organic acids tested from urine and created statistical models for urinary stone risk prediction with PCA, LDA, LASSO, random forest, bootstrap, PLS-DA, OPLS-DA, and SVM. Optimized models and achieved the highest AUC score of 95% with Random Forest. Established R packages for basic analysis and drawing of biological metabolites by citing KEGG biological data, including LASSO, Random Forest, PLS-DA, OPLS-DA, and LASSO, with various visualization plots including heatmap, circus plot, radial tree, interaction network plot, box plot, chromosome ideogram, and volcano plot. Show less Developed statistical models to predict Polycystic ovary syndrome (PCOS) for Asian women by cleaned-up data and compared data from blood biochemical tests and 6 types of estrogen tests Selected biomarkers in 135 types of organic acids tested from urine and created statistical models for urinary stone risk prediction with PCA, LDA, LASSO, random forest, bootstrap, PLS-DA, OPLS-DA, and SVM. Optimized models and achieved the highest AUC score of 95% with Random Forest. Established R… Show more Developed statistical models to predict Polycystic ovary syndrome (PCOS) for Asian women by cleaned-up data and compared data from blood biochemical tests and 6 types of estrogen tests Selected biomarkers in 135 types of organic acids tested from urine and created statistical models for urinary stone risk prediction with PCA, LDA, LASSO, random forest, bootstrap, PLS-DA, OPLS-DA, and SVM. Optimized models and achieved the highest AUC score of 95% with Random Forest. Established R packages for basic analysis and drawing of biological metabolites by citing KEGG biological data, including LASSO, Random Forest, PLS-DA, OPLS-DA, and LASSO, with various visualization plots including heatmap, circus plot, radial tree, interaction network plot, box plot, chromosome ideogram, and volcano plot. Show less
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Shenzhen Qiaobang Investment Development Company
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Shenzhen, Guangdong, China
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Market Research and Data Analyst Associate
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Mar 2021 - Sep 2021
Organize product and operation-related data, make data daily reports, present analysis reports in operation meetings, and collaborate with operations and data analysis colleagues to output solutions conduct product evaluation, user behavior analysis, operational activity effect evaluation based on product and operational data, and output operational data documents Investigate and deconstruct various business problems, combine data and user needs, and design new monitoring data… Show more Organize product and operation-related data, make data daily reports, present analysis reports in operation meetings, and collaborate with operations and data analysis colleagues to output solutions conduct product evaluation, user behavior analysis, operational activity effect evaluation based on product and operational data, and output operational data documents Investigate and deconstruct various business problems, combine data and user needs, and design new monitoring data models Understand the data analysis needs of the business, adjust the data report, and provide comprehensive data support Clean up data and create customized data visualizations, using R to compare budget information Show less Organize product and operation-related data, make data daily reports, present analysis reports in operation meetings, and collaborate with operations and data analysis colleagues to output solutions conduct product evaluation, user behavior analysis, operational activity effect evaluation based on product and operational data, and output operational data documents Investigate and deconstruct various business problems, combine data and user needs, and design new monitoring data… Show more Organize product and operation-related data, make data daily reports, present analysis reports in operation meetings, and collaborate with operations and data analysis colleagues to output solutions conduct product evaluation, user behavior analysis, operational activity effect evaluation based on product and operational data, and output operational data documents Investigate and deconstruct various business problems, combine data and user needs, and design new monitoring data models Understand the data analysis needs of the business, adjust the data report, and provide comprehensive data support Clean up data and create customized data visualizations, using R to compare budget information Show less
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Education
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University of Wisconsin-Madison
Master of Science - MS, Statistics: Stats and Data Science -
University of California, Los Angeles
Bachelor's degree, Statistics