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Xiaodan Lyu

Contact Info

Technical Skills

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This resume was made with the R package pagedown.

Last updated on 2019-10-13.

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Xiaodan Lyu

Anticipated 2020 PhD University Graduate

  • Worked on data science for over 7 years
  • Equipped with comprehensive statistical theories and methodologies
  • Developed one R Shiny app to be added to the R Shiny user showcase soon
  • Developed an R package to facilitate working with land use data API
  • Published 1 of 4 manuscripts in peer-reviewed journals, to date

Education

Iowa State University (ISU)

Doctorate of Philosophy (Ph.D.) in Statistics

Ames, Iowa

2015 - Present

Thesis: Small area prediction and visualization – analysis of rainfall-erosion losses from cropland

Iowa State University (ISU)

Master of Science (M.S.) in Statistics

Ames, Iowa

2015 - 2018

Creative Component: Empirical Bayes small area prediction of sheet and rill erosion using a zero-inflated lognormal model

Wuhan University (WHU)

Bachelor of Science (B.S.) in Statistics

Wuhan, China

2011 - 2015

Thesis: Cox proportional hazard model and its application in survival analysis

Work Experience

Visualization Analyst Intern

Autodesk

San Francisco, California

2019 Summer

  • Guided sales by prioritizing potential customers using survival regression and association rules in R and Python
  • Delivered product-usage dashboards across the company in Power BI by centralizing data and designing a user-friendly interface
  • Developed pipelines to sync large data between database and dashboards in SQL and Python
  • Presented project results to stakeholders and senior leaders

Publication

Using landscape habitat associations to prioritize areas of conservation action for terrestrial birds

PloS one 12 (3), doi:10.1371/journal.pone.0173041

Ames, Iowa

2017

Harms, T.M., Murphy, K.T., Lyu, X., Patterson, S.S., Kinkead, K.E., Dinsmore, S.J. and Frese, P.W.

Research Experience

Graduate Research Assistant

Department of Statistics, ISU

Ames, Iowa

2016 - Present

  • Improved small area prediction of zero-inflated skewed data by developing Empirical Bayes predictor under a lognormal-logistic model with random effects
  • Delivered richer data products by integrating high-resolution spatial data in R and delivering interactive web interfaces in R Shiny
  • Informed land managers where to conserve bird species of conservation concern by applying the robust design occupancy modeling framework
  • Empowered farmers in decision-making using the data analysis results from on-farm research by developing an interactive web application in R Shiny and CSS
  • Presented research results in international conferences and group meetings

Teaching Experience

Survey Statistics Teaching Assistant

Department of Statistics, ISU

Ames, Iowa

2018 Spring

  • Coached 36 graduate and undergraduate students on SAS programming
  • Taught lab materials and designed lab assignment once a week
  • 4.68 average rating on a 5-point scale based on student responses

Awards

Vince Sposito Statistical Computing Award

Department of Statistics, ISU

Ames, Iowa

2019

Selected for outstanding potential in statistical computing based on assistantship duties

Student Travel Grant

International Total Survey Error Workshop

Bergamo, Italy

2019

Selected as one of the student participants at the workshop based on paper presentation and curriculum vitae

Holly and Beth Fryer Scholarship

Department of Statistics, ISU

Ames, Iowa

2017

Selected for high-achieving second-year graduate students based on academic success and performance in assistantship duties

Vera David Award

Department of Statistics, ISU

Ames, Iowa

2016

Selected for high-achieving first-year female graduate students based on academic success