University of North Carolina at Chapel Hill, Chapel Hill, NC

  • Ph.D. in Biostatistics (Projected: May 2023)

  • Adviser: Dr. Tanya Garcia

  • Dissertation: Effcient semiparametric estimators for censored covariates in nonlinear mixed effects models.

Florida State University, Tallahassee, FL

  • B.S. in Applied and Computational Mathematics (May 2018)

  • GPA: 4.00/4.00 (Summa Cum Laude)

  • Adviser: Dr. Nick Cogan

  • Honors Thesis: Chemotactic strategies in marine bacteria

Research Experience

University of North Carolina at Chapel Hill, Chapel Hill, NC

Graduate Research Assistant (Aug. 2020 – Present)

Advisor: Dr. Tanya Garcia

  • Conduct statistical methods research with a focus on parameter estimation for mixed effects models in the presence of censoring covariate, with application to neurodegenerarive diseases

  • Devise simulation studies to compare the bias and effciency of various methods used to address covariate censoring

  • Develop well-documented R packages to implement statistical methods which impute censored covariates, including imputeCensoRd

Graduate Research Assistant for NC Study to Explore Early Development (Aug. 2021 – Present)

Collaborators: Drs. Julie Daniels and Gabriel Dichter

  • Lead statistical analysis for longitudinal study of autism in children and adolescents

  • Develop trajectory models to analyze the progression of autism severity which could ultimately help to develop better care plans for young people with autism

  • Navigate complex remote data management system and maintain data security protocols to ensure confidentiality for subjects and their families

Graduate Research Assistant (Aug. 2018 – July 2021)

Advisor: Dr. Haibo Zhou

  • Collaborated on environmental health projects which assess treatments for respiratory illnesses

  • Performed nonparametric power and sample size calculations for crossover clinical trial designs

  • Assisted in ensuring double-blind study protocols

Graduate Statistical Consultant (Feb. 2021 – May 2021)

Collaborator: Dr. Regan Burney

  • Collaborated with subject-matter experts to analyze the results of the `Healthy Me, Healthy We' project, a social marketing intervention designed to promote healthy habits in young children

  • Engaged regularly with collaborators to discuss statistical analysis plan and explain unfamiliar statistical concepts to non-statisticians

  • Used linear mixed modeling and imputation techniques to characterize interaction of child-level factors and intervention effect

Florida State University, Tallahassee, FL

Undergraduate Research Assistant (Aug. 2017 – May 2018)

Advisor: Dr. Nick Cogan

  • Developed differential models to simulate marine bacteria chemotaxis, with applications to modeling the movement of marine bacteria involved in the breakdown of ocean-polluting hydrocarbons

  • Constructed numerical solutions to partial differential equations in R

  • Developed expressive visualizations of marine bacteria movement

University of Michigan, Ann Arbor, MI

Undergraduate Research Assistant (Summer 2017)

  • Analyzed novel microenvironment microarray data with machine learning techniques to understand cancer cell growth

  • Participated in didactic lecture series from distinguished faculty

  • Received training in R for data management and visualization

Teaching Experience

University of North Carolina at Chapel Hill, Chapel Hill, NC

Teaching Assistant for BIOS 663: Intermediate Linear Models (Graduate Level, Spring 2022)

Instructor: Dr. Michael Love

  • Led weekly recitation sessions to help students understand difficult material in the theory and programming of linear models.

  • Presented two lectures on missing data, introducing students to missing data mechanisms, complete case analysis, and multiple imputation.

Grading Assistant for BIOS 667: Longitudinal Data Analysis (Graduate Level, Fall 2020)

Instructor: Dr. Bahjat Qaqish

  • Provided feedback to help students formulate and analyze models for longitudinal data analysis

Grading Assistant for BIOS 672: Probability and Statistical Inference I (Graduate Level, Fall 2019)

Instructor: Dr. Anastasia Ivanova

  • Led review sessions on large sample theory and distribution theory

  • Provided feedback to help students understand di cult theoretical concepts

Florida State University, Tallahassee, FL

Advanced Mathematics and Statistics Tutor at Academic Center August 2017 to May 2018 for Excellence

  • Tutored 20 students per week

  • Specialized in upper division math tutoring including calculus, linear algebra, ordinary differential equations, statistics, and GRE math

  • Led review sessions in calculus for groups of 40-50 students


Grosser, K.F., Lotspeich, S.C., and Garcia, T.P. (2022+). Actively correcting for error in (ACE) imputation: Overcoming censored covariates in linear mixed models. In preparation.

Lotspeich, S.C., Grosser, K.F., and Garcia, T.P. (2022+). Advancing conditional mean imputation. In preparation.

Ditchter, G.S., Grosser, K.F., Cummings, K.K., Garcia, T.P., Tapia, A.L., Daneils, J.L., Nadler, C., Moody, E.J., Barger, B., Reyes, N.M., Fallin, D., and Bradley, C.B. (2022+). Trajectories of autism traits from early childhood to adolescence in the study to explore early development. In preparation.

Lotspeich, S.C.*, Grosser, K.F.* (shared  rst-authorship), and Garcia, T.P. (2022). Correcting conditional mean imputation for censored covariates and improving usability. Biometrical Journal, volume 64, pp. 858-862, 2022 [paper]


"Improving imputation: Adjusting for the error incurred when imputing censored covariates," contributed poster at 2022 Joint Statistical Meeting, Washington, DC, August 2022

"Imperfect imputation: Adjusting for the error incurred when we impute," contributed talk and poster at 2022 Symposium on Data Science and Statistics, Pittsburgh, PA, June 2022 [poster][slides]

"Missing data and what to do about it," guest lecture at UNC-CH Department of Biostatistics, Chapel Hill, NC, April 2022

"Modeling Huntington's Disease progression despite covariate censoring," invited talk at UNC-CH Department of Biostatistics, Chapel Hill, NC, April 2022

"A robust solution to covariate censoring," contributed talk at 2022 Eastern North American Regional Conference, Houston, TX, March 2022 [slides]

"An analysis of the interaction effects on the Healthy Me, Healthy We intervention," oral presentation at UNC-CH Department of Biostatistics, April 2021

"Chemotactic strategies in marine bacteria," honors thesis defense at FSU Department of Mathematics, Tallahassee, FL, May 2018

"Modeling chemotaxis in marine bacteria" contributed poster at FSU Undergraduate Research Symposium, Tallahassee, FL, April 2018 and National Conference on Undergraduate Research 2018., Edmond, OK, April 2018


Foundation for Science and Disability: Student Grant Award (2021)

National Institutes of Health: Environmental Health Sciences Training Grant (2018 – 2021)

Florida State University

  • Summa Cum Laude (2018)

  • Outstanding Senior Scholar Award (2018)

  • FSU Honors Student Association Conference Travel Grant (2018)

  • Florida Benacquisto Scholarship (2014 – 2018)

National Merit Scholarship Corporation: National Merit Finalist (2014)