CV

My full CV can be found here.

Education

• PhD, Duke University, Expected May 2027
  Department of Statistical Science
• BS, The Ohio State University, May 2022
  Mathematics: Honors Track, Data Analytics: Computational Track

Research Experiences

• Research Assistant, Duke University, October 2025–Present
  Topic: DARTS: Targeting prognostic covariates in budget-constrained sequential experiments
  Advisor: Alexander Volfovsky

• Bass Connections Project, Duke University, Fall 2025–Spring 2026
  Topic: Cash bail reform, serious mental illness, and substance use disorders in a county jail
  Faculty leads: Nicole L. Schramm-Sapyta, Maria Tackett

• Research Assistant, Duke University, Spring 2024–Present
  Topic: Rerandomization with missing data
  Advisor: Alexander Volfovsky

• MARS Project, Duke University, Spring 2024
  Topic: Causal effect of migraine medication on retinal stroke risk
  Investigators: Jay B. Lusk, Brian Mac Grory, Fan Li, Lauren Wilson, Natalie Smith, Alonso M. Guerrero Castañeda, Kat Husar

• REU Program, Texas Tech University, Summer 2021
  Topic: Lyme Disease Models of Tick-Mouse Dynamics with Seasonal Variation in Births, Deaths, and Tick Feeding
  Advisor: Linda J. Allen

• Knots and Graphs Program, The Ohio State University, Summer 2019, Summer 2020
  Topic: Signed posets and a B-symmetric generalization of Stanley’s acyclicity theorem
  Advisor: Sergei Chmutov

Industry Experience

• Research Science Intern, Amazon, Summer 2026–Present
  Team: Supply Chain Optimization Technologies (SCOT)

Teaching

• Instructor of Record
  • STA119FS (Co-Instructor) - Statistics as a Way of Thinking: History, Ideas, and Evidence, Duke University, Fall 2026
  • STA101 - Data Analysis and Statistical Inference, Duke University, Summer 2024
• Teaching Assistant
  • STA561 (Head TA) - Probabilistic Machine Learning, Duke University, Spring 2026
  • STA221 (Head TA) - Regression Analysis, Duke University, Fall 2024, Spring 2025
  • STA101 (Head TA) - Data Analysis and Statistical Inference, Duke University, Spring 2024
  • STA470 - Introduction to Statistical Consulting, Duke University, Fall 2023
  • STA199 - Introduction to Data Science and Statistical Thinking, Duke University, Fall 2022
  • MATH1148 - College Algebra, The Ohio State University, Spring 2022
  • MATH1149 - Trigonometry, The Ohio State University, Fall 2019, Fall 2020–Fall 2021
  • CSE3241 - Introduction to Database Systems, The Ohio State University, Spring 2020
• Tutoring
  • Academic Tutor, SPIRE Fellows Program, Duke University, Fall 2024–Spring 2026
• Mentorship
  • Project Manager, Bass Connections: Mental Health and the Justice System in Durham County, Duke University, Fall 2025–Spring 2026
  • Project Manager, Data+: Exploring Public Opinion and Policy, Duke University, Summer 2025
• Certifications
  • Certificate in College Teaching, Duke University, Ongoing

Fellowships and Awards

• Jo Rae Wright Fellowship for Outstanding Women in Science, 2026–2027
  • Awarded annually to two women Ph.D. students at Duke, one in the biomedical sciences and one in the natural sciences.
• Outstanding Mentor of Undergraduate Researchers, May 2026
  • Awarded annually by the Duke Department of Statistical Science to a doctoral student or postdoctoral scholar for mentorship of undergraduate researchers.
• Teaching on Purpose Fellow, Spring 2026
  • Selected as a Fellow for a semester-long program at Duke’s Kenan Institute for Ethics on the aims and practice of undergraduate teaching.

Conference Talks and Posters

• ISBA World Meeting, Poster, Summer 2026
  DARTS: Targeting Prognostic Covariates in Budget-Constrained Sequential Experiments.

• Electronic Conference on Teaching Statistics (eCOTS), Breakout Talk, Summer 2026
  Breaking the Syntax Barrier: Empowering Students to Code in Any Language.
  with Marie Neubrander

• American Causal Inference Conference, Poster, Spring 2026
  DARTS: Targeting Prognostic Covariates in Budget-Constrained Sequential Experiments.

• American Causal Inference Conference, Poster, Spring 2025
  Rerandomization with Missing Data in Pre-Treatment Covariates.

• Duke StatSci Research Alumni Symposium, Poster, Fall 2024
  Rerandomization and Regression Adjustment in Studies with Missing Values in Pre-Treatment Covariates.

• Society for Mathematical Biology, Talk, Summer 2023
  Lyme Disease Models of Tick-Mouse Dynamics with Seasonal Variation in Births, Deaths, and Tick Feeding.

• Young Mathematicians Conference, Talk, Summer 2021
  Lyme Disease Models of Tick-Mouse Dynamics with Seasonal Variation in Births, Deaths, and Tick Feeding.

• Young Mathematicians Conference, Talk, Summer 2020
  Signed posets and a B-symmetric generalization of Stanley’s acyclicity theorem.

Services

• Graduate Consultative Committee (GCC), Duke University: Department of Statistical Science, September 2022–Present
  • President from September 2024
  • Collaborate with DGS to manage academic and personal needs of >50 PhD students.
  • Assist with Admitted Students Open House events to welcome prospective students.
  • Organized department social and community events such as the Winter Party, Ping-Pong Tournament, and other department gatherings.
• Duke Statsci Alumni Advisory Council Member, Duke University: Department of Statistical Science, September 2025–Present
  • Collaborate with alumni to ensure programming meets student needs
  • Conduct student surveys and analyze feedback
  • Plan and coordinate networking events