Tiantian Yang, Ph.D. Candidate

Tiantian Yang, Ph.D. Candidate

School of Mathematical and Statistical Sciences, O-110 Martin Hall, Clemson, SC 20634 [email protected] | (864) 354-7618

http://tiantiy.people.clemson.edu/

EDUCATION

Doctor of Philosophy in Statistics August 2021 (expected) School of Mathematical and Statistical Sciences, Clemson University Clemson, SC

• Research Advisors: Drs. William Bridges, Deborah Kunkel

• Research Interests: Missing Data Imputation, Applications of Mixed Models, Design of Experiments, Statistical Machine Learning, Statistical Computing, Simulation, and Generalized Distributions

Master of Science in Statistics July 2014 Department of Mathematical Sciences, Georgia Southern University Statesboro, GA

• Thesis Title: “Generalized Classes of Lindley Distributions with Applications to Lifetime Data.” • Thesis Advisor: Dr. Broderick Oluyede

Bachelor of Science in Applied Mathematics and Economics (Dual Bachelor’s Degrees) July 2012 Central China Normal University Wuhan, China

• Thesis Title: “Principle of Probability Theory in the Lottery” (from Department of Mathematical Sciences) • Thesis Title: “Problems of the Construction of Carbon Trading Market” (form Department of Economics)

PUBLICATIONS & PAPERS

• Chen, D., Hu, F., Nian, G., Yang, T. (2020). Deep Residual Learning for Nonlinear Regression. Entropy, 22, 193. • Oluyede, B., Yang, T., Makubate, B. (2016). A New Class of Generalized Power Lindley Distribution with

Applications to Lifetime Data. Asian Journal of Mathematics and Applications, 1-34.

• Oluyede, B., Yang, T. (2015). A new class of generalized Lindley distributions with applications. Journal of Statistical Computation and Simulation, 85(10), 2072-2100.

• Oluyede, B., Yang, T., Omolo, B. (2015). A Generalized Class of Kumaraswamy Lindley Distribution with Applications to Lifetime Data. Journal of Computations and Modeling, Vol. 5, No. 1, 27-70.

• Oluyede, B., Huang, S., Yang, T. (2015). A New Class of Generalized Modified Weibull Distribution with Applications. Austrian Journal of Statistics, Vol. 44, 43-68.

Papers in Preparation:

• Yang, T., Kunkel, D., Bridges, W. (2020+). Analysis of Multilevel Data with Missing Information about Correlation Structure.

• Yang, T., Bridges, W. (2019+). A Comparison of Several Missing Data Imputation Techniques for Analyzing Different Types of Missingness.

JOURNAL REVIEWER

Yang, 2

STATISTICAL CONSULTING EXPERIENCE

Statistical Consultant August 2016 - Present Statistics and Mathematics Consulting Center, Clemson University Clemson, SC

• Under the direction of Dr. William Bridges

• Offer missing data imputation, data analysis, model building, model selection, statistical guidance and interpretation to researchers from multiple disciplines

• Perform ANOVA, regression, generalized model, mixture model, and hypothesis testing on their data sets. Selected projects are as follows:

➢ Collaborated with a Biological Sciences professor to more accurately forecast the landings of South Carolina blue crabs

o Programmed 19 environmental conditions in the modeling platform NetLogo and over 1000 simulation runs to provide data on the population structure of blue crabs

o Implemented six different types of Design of Experimental Methods on the simulated data sets, identified the three most significant factors, and determined the strongest interaction effects

➢ Worked with a Forestry and Environmental Conservation professor to analyze the collected data from North Carolina Private Landowner Conservation Programs Questionnaire

o Utilized Likelihood Imputation and Multiple Imputation methods to reduce the impact of the missing data on the regression model for predicting interest in the conservation contracts

o Applied Logistic Regression with variable selection to pick the best predictors and used a suite of model fit criteria (AICc, Generalized R2, Misclassification Rate, ROC, AUC, and the Confusion Matrix). Identified the nine most significant predictors out of 60 farm and farmer characteristics predictors

Research Assistant / Statistician Intern January 2019 - August 2019 Data Support Core, Prisma Health Greenville, SC

• Fully funded by Burroughs Wellcome Fund

• Responsible for providing statistical consulting for hospital doctors and residents

• Performed data cleaning, decision tree analysis, nominal logistic analysis, ANOVA, and variable selection on the following protected medical data sets:

➢ Exercise Recommendation Among Pregnant Women by OBGYN Physicians at GHS ➢ Advanced Physical Exam Series

➢ The Meaning and Measurement of Nursing Fatigue ➢ Diabetic HbA1c Labs

➢ Greenville CPR Project

TEACHING EXPERIENCE

Graduate Instructor August 2015 - Present School of Mathematical and Statistical Sciences, Clemson University Clemson, SC

• Teach mathematical and statistical methods for nine semesters to over 300 undergraduate students • Responsible for classroom work including lectures, grading, and assigning final grades

➢ STAT 3090 (Introductory Business Statistics): F17, S18, F18, F19, S20 (hybrid), F20 (online) ➢ MATH 2070 (Business Calculus II): S16, F16

➢ MATH 1020 (Business Calculus I): F15

Statistics Tutor June 2017 - August 2017 Statistical Tutoring Center, Clemson University Clemson, SC

Yang, 3

• Responsible for aiding an instructor with grading exams, quizzes, and homework or tutoring ➢ STAT 8420 (Introduction to Statistical Methods): SU20

➢ MATH 1020 (Business Calculus I): F14, SU15, S17, S18 ➢ MATH 1080 (Calculus of One Variable II): S17

➢ MATH 4000/6000 (Theory of Probability): S15

Graduate Teaching Assistant August 2012 - July 2014 Math Lab, Georgia Southern University Statesboro, GA

• Facilitated tutoring sessions for students in Calculus I, II, & III, Linear Algebra, and Statistical Methods

RESEARCH PRESENTATIONS

Joint Statistical Meetings, Virtual Conference August 1 - August 6, 2020

• Poster Presentation: “Analysis of Multilevel Data with Missing Information about Correlation Structure.”

Joint Statistical Meetings, Denver, CO July 27 - August 1, 2019 • Poster Presentation: “A Comparison of Several Missing Data Imputation Techniques for Analyzing Different Types

of Missingness.”

The 7th Workshop on Biostatistics and Bioinformatics, Georgia State University, Atlanta, GA May 2019 • Poster Presentation: “A Comparison of Several Missing Data Imputation Techniques for Analyzing Different Types

of Missingness.”

Graduate Research and Discovery Symposium, Clemson University, Clemson, SC April 2019 • Poster Presentation: “A Comparison of Several Missing Data Imputation Techniques for Analyzing Different Types

of Missingness.”

Graduate Student Seminar, Clemson University, Clemson, SC April 2019 • Oral Presentation: “A Comparison of Several Missing Data Imputation Techniques for Analyzing Different Types of

Missingness.”

International Conference on Statistical Distributions and Applications, Mount Pleasant, MI October 2013 • Oral Presentation: “The Kumaraswamy Generalized Lindley Distribution with Applications to Lifetime Data.” Graduate Student Seminar, Georgia Southern University, Statesboro, GA April 2013

• Oral Presentation: “A New Class of Generalized Lindley Distributions with Applications.”

Mathematical Association of America Annual Conference, Southeastern Section, SC March 2013 • Oral Presentation: “Statistical Properties of Beta and Kumaraswamy Generalized Lindley Distributions.”

CONFERENCES, SEMINARS, & WORKSHOPS

Clemson CITI Workshop on Data Science and Machine Learning, Clemson University June 2019

Clemson CITI Genomics Workshop, Clemson University June 2018 Joint SIAM Student Conference, Georgia Institute of Technology, Atlanta, GA April 2018 The UGA/Clemson Joint Seminar, University of Georgia, Athens, GA March 2018 American Statistical Association Traveling Course on Missing Data Imputation, Atlanta, GA March 2018

Carolinas Women in Mathematics Symposium, University of North Carolina, Charlotte, NC September 2017

Joint Statistical Meetings, Baltimore, MD July 29 - August 3, 2017

Yang, 4

FUNDS & GRANTS

Burroughs Wellcome Fund, Prisma Health January - August 2019 Graduate Travel Grant, Clemson University July 2019 Affiliates Award Fund, National Institute of Statistical Sciences May 2019 Graduate Travel Grant, Clemson University March 2018

Affiliates Award Fund, National Institute of Statistical Sciences March 2018 Graduate Travel Grant, Carolinas Women in Mathematics Symposium September 2017 Graduate Travel Grant, Clemson University July 2017 Graduate Travel Grant, Georgia Southern University October 2013

HONORS & AWARDS

Graduate Writing Across the Curriculum Fellow, Clemson University 2019 - 2020

Young Researcher & Student Award, International Conference on Stat. Distributions & Applications 2013 Outstanding Undergraduate Student, Central China Normal University 2012 Excellent Undergraduate Graduation Thesis, Central China Normal University 2012 Excellent Undergraduate Scholarship, Central China Normal University 2009 - 2012

PROFESSIONAL MEMBERSHIPS

Society for Industrial and Applied Mathematics (SIAM) 2019 - Present Association for Women in Mathematics (AWM) 2019 - Present Institute of Mathematical Statistics (IMS) 2019 - Present

American Statistical Association (ASA) 2017 - Present International Chinese Statistical Association (ICSA) 2017 - Present American Mathematical Society (AMS) 2015 - Present Mathematical Association of America (MAA) 2013 - Present

TECHNICAL SKILLS

Statistical Softwares: JMP, Minitab

Other Technical Skills: Jupyter Notebook, High-performance Computing (HPC) clusters, Latex & Beamer, NetLogo Website Development: HTML, CSS

Computing Platforms: Windows, Linux Version Control: Git & Github

Microsoft Office: Word, PowerPoint, Excel Language Skills: Chinese, English

VOLUNTEER & SERVICE

Yang, 5

Mathematical Sciences Graduate Student Open House Weekend, Clemson, SC March 2018 Freetown Community Center, Greenville, SC October 2017 Math-In Tutor, Clemson University May & December 2016