Hao Wang (汪昊)

Last updated on 2022/12

EDUCATION

• B.S. in Statistics, East China Normal University, 2018
• B.S. in Statistics, Colorado State University, 2018
• M.S. in Statistics, Iowa State University, 2019
• Ph.D in Statistics, Iowa State University, 2023 (expected)

WORK EXPERIENCE

• Statistician at Corteva (May 2021 - Present)
  • Work on TK data analysis; review existing methods for dose proportionality detection and propose new method; propose methods for locating Kinetically Derived Maximal dose;
  • Design and conduct simulation study for KMD detection;
  • Draft Manuscript;
  • Work on non-linear modeling of dose-response data;
  • Develop SAS macro to auto-run different non-linear models with model performance and generate reports per regulatory guidelines;
  • Review USEPA & EFSA Benchmark Dose analysis guidelines; develop BMD protocol for internal analysis;
  • Develop protocol for benchmark dose analysis for different types of endpoints;
  • Seed Regulatory Science, quality check reports created by primary statistician.
• Remote Researcher at Principal Financial Group (August 2019 – December 2019)
  • Worked on predicting and ranking stock returns within industrial groups using hierarchical models
  • Transformed the stock returns via Gaussianized Distributional Transformation (proposed by Yifan Zhu)
  • Developed linear mixed effect model, fitted by moment based estimation (package mbest)
  • Defined the benchmark and model evaluation procedure
• Research Assistant at Iowa State University (January 2019 – Present)
  • Worked on the research question about the structure of the complex web of molecular interactions in living cells, applied Gaussian Graphical Model to reconstruct the gene network;
  • Worked on Microbiome Data Analysis, applied different machine learning algorithms to predict biomass by microbiome data, R-squared as high as 80%;
  • Worked on Metabolomics Data Analysis, defined core metabolites sets with innovative mathematical approach;
  • Worked on integrative omics data analysis project, duties including data cleaning and multi-source data matching, exploratory data analysis, dimension reduction, network analysis, supervised learning (penalized regression, partial least squares regression, random forest), permutation tests and so on;
  • Work on high-dimensional inference; distributed modeling under data shielding
• Teaching Assistant at Iowa State University (January 2021 – May 2021)
  • TA for STAT 501 Multivariate Statistical Analysis
  • TA for STAT 471/571 Design of Experiment

SELECTED PROJECTS

• High dimensional statistical learning project at Iowa State University (December 2018 – Present)
  • Studied the importance of women’s status for child nutrition in Ghana with a Ph.D. candidate major in Nutrition
  • Cleaned survey data with 5884 observations and 677 variables and created new variables of interest with R
  • Determined the statistical learning model with respect to specific research questions
  • Applied multivariate analysis technique like factor analysis, multivariate regression, stepwise model selection with R
  • Successfully identified most significant factors/covariates corresponding to different response variables
• Statistical consulting project at Colorado State University (January 2018 - May 2018)
  • Worked with Dr. Johnson researching treatment effect on superficial digital flexor tendon (SDFT) injuries in horses
  • Developed the longitudinal data with a linear mixed model under guide of Dr. Turk
  • Analyzed variance components of the model in SAS
  • Successfully found the overall quadratic trend in time, estimated horse random effect, identified non-significant treatment fixed effect and leg effect
• SAMSI workshop at North Carolina State University (May 2017)
  • Worked with five undergraduates on the topic of distributionally robust Optimization for stock investment
  • Processed past five-month data of 11 stocks’ prices from yahoo finance with python
  • Successfully determined criterion for picking investment by Modern Portfolio Theory and predicted the future profit
  • Presented final report to approximately 15 professors and statistical industry professionals
  • Learned useful tools of programming, version control repository and how to express and implement ideas as a team

SKILLS

• Proficient in Statistics & Math & Data structure & Computer Algorithm through academic coursework
• Skillful in using R & SAS programming
• Familiar with Python, c++, SQL, MATLAB, and Microsoft Office (Word, Excel, PPT)
• Fluent in Chinese and English (written and verbal)

Service and leadership

• Member, STATers at Iowa State University, August 2018 - Present
• Member, American Statistical Association, August 2018 - Present
• Member, International Chinese Statistical Association, August 2018 - Present
• President, Dance Club at East China Normal University, February 2015 - June 2016