Brian Richardson

About

I'm a fifth-year PhD candidate in Biostatistics at UNC Chapel Hill, with interests in causal inference, infectious diseases, measurement error, network interference, and semiparametric inference. Outside of identification conditions for causal estimands, I like nature, bluegrass music, and riding my bike.

CV

Download CV (PDF)

Teaching

• Instructor, UNC Chapel Hill
  Fall 2024, Fall 2025
  BIOS 672: Topics in Real Analysis
• Instructor, UNC Chapel Hill
  Spring 2025
  BIOS 600: Principles of Statistical Inference
• TA, UNC Chapel Hill
  Fall 2023
  BIOS 500H: Introduction to Biostatistics
• TA, UNC Chapel Hill
  Spring 2023
  BIOS 668: Design of Public Health Studies
• Tutor, UNC Chapel Hill
  Fall 2022
  MATH 231 & BIOS 660
• Tutor, Chapel Hill High School
  Aug 2020 – May 2022
  Algebra, Geometry, Pre-Calculus, AP Calculus BC

Publications

∗: Co-first authorship

1. S. Lee^∗, B.D. Richardson^∗, Y. Ma, K.S. Marder, and T.P. Garcia. SPARCC: Semi-Parametric Robust Estimation in a Right-Censored Covariate Model.
   Journal of the American Statistical Association, 2025+.
2. B.D. Richardson^∗, B. Blette^∗, P. Gilbert, and M. Hudgens. “Addressing confounding and continuous exposure measurement error using corrected score functions.”
   Biometrics, vol. 81, no. 2, Apr. 2025. Oxford University Press. ISSN: 0006-341X, 1541-0420.
3. S. C. Lotspeich, M. C. Ashner, J. E. Vazquez, B.D. Richardson, K. F. Grosser, B. E. Bodek, and T. P. Garcia. “Making sense of censored covariates: Statistical methods for studies of Huntington’s disease.”
   Annual Review of Statistics and Its Application, vol. 11, no. 1, pp. 255–277, Apr. 2024. ISSN: 2326-8298, 2326-831X.
4. B. Chi, F. Saidi, L. Graybill, T. Phanga, K. Mollan, K. Amico, K. Freeborn, N. Rosenberg, L. Hill, T. Hamoonga, B.D. Richardson, T. Kalua, S. Phiri, and W. Mutale. “A patient-centered, combination intervention to support adherence to HIV pre-exposure prophylaxis during pregnancy and breastfeeding: A randomized pilot study in Malawi.”
   JAIDS Journal of Acquired Immune Deficiency Syndromes, vol. 95, pp. 42–51, 2024.
5. L. A. Graybill, B. H. Chi, T. E. Hamoonga, M. Kasaro, J. N. Hodges, B.D. Richardson, J. S. Bissram, F. Saidi, K. R. Mollan, K. Freeborn, N. E. Rosenberg, K. A. Powers, and W. Mutale. “Predictors of maternal HIV acquisition during pregnancy and lactation in sub-Saharan Africa: A systematic review and narrative synthesis.”
   PLOS ONE, vol. 19, no. 12, e0314747, Dec. 2024. ISSN: 1932-6203.
6. S. Lotspeich^∗, B.D. Richardson^∗, P. Baldoni, K. Enders, and M. Hudgens. “Quantifying the HIV reservoir with dilution assays and deep viral sequencing.”
   Biometrics, 2024.
7. J. J. Peterson, C. A. Lewis, S. D. Burgos, A. Manickam, Y. Xu, A. A. Rowley, G. Clutton, B.D. Richardson, F. Zou, J. M. Simon, D. M. Margolis, N. Goonetilleke, and E. P. Browne. “A histone deacetylase network regulates epigenetic reprogramming and viral silencing in HIV-infected cells.”
   Cell Chemical Biology, vol. 30, no. 12, 1617–1633.e9, Dec. 2023. ISSN: 2451-9456.
8. J. Shi, ..., B.D. Richardson, ..., and Q. Lan. “Genome-wide association study of lung adenocarcinoma in east Asia and comparison with a European population.”
   Nature Communications, vol. 14, p. 3043, 2023.

Talks

• "Causal Inference Methods for Infectious Disease Prevention Trials" (slides)
  Mar 2026
  PhD Dissertation Defense, Chapel Hill, NC
• "Social Distancing to Reduce Transmission of Influenza-Like-Illness on College Campuses: UNC Biostatistics Recruiting Event" (slides)
  Feb 2026
  Seminar, Chapel Hill, NC
• "Social Distancing to Reduce Transmission of Influenza-Like-Illness on College Campuses: Wake Forest Statistical Sciences Colloquium" (slides)
  Dec 2025
  Colloquium, Winston-Salem, NC
• "Causal Inference for Infectious Disease Prevention: Bowdoin Undergraduate Colloquium" (slides)
  Nov 2025
  Colloquium, Brunswick, ME
• "Causal Inference Methods for Infectious Disease Prevention Trials" (slides)
  Nov 2025
  Preliminary Oral Examination, Chapel Hill, NC
• "Addressing Confounding and Continuous Exposure Measurement Error Using Corrected Score Functions" (slides)
  Aug 2025
  Invited talk, JSM, Nashville, TN
• "When the Life Sciences Give You Lemons: Making the Most of Coarsened Data in Public Health Research"
  Feb 2025
  Invited Talk, UNC Department of Biostatistics, Chapel Hill, NC
• "Addressing Confounding and Continuous Exposure Measurement Error Using Corrected Score Functions" (slides)
  Jan 2025
  Seminar, UNC Causal Inference Research Lab, Chapel Hill, NC
• "Robust and efficient estimation in the presence of a randomly censored covariate" (slides)
  Nov 2024
  Invited talk, UNC Biostatistics 75th Anniversary, Chapel Hill, NC
• "Quantifying the HIV Reservoir With Dilution Assays and Deep Viral Sequencing" (slides)
  Oct 2024
  Invited talk, UNC BIOS Student Seminar, Chapel Hill, NC
• "Robust and efficient estimation in the presence of a randomly censored covariate"
  Aug 2024
  Contributed talk, JSM, Portland, OR
• "Quantifying the HIV Reservoir With Dilution Assays and Deep Viral Sequencing"
  Apr 2024
  Invited talk, UNC BIOS/STOR Joint Student Seminar, Chapel Hill, NC
• "Doubly robust estimation under a randomly censored covariate"
  Mar 2024
  Contributed talk, ENAR Spring Meeting, Baltimore, MD
• "Quantifying the HIV Reservoir With Dilution Assays and Deep Viral Sequencing"
  Mar 2023
  Contributed talk, ENAR Spring Meeting, Nashville, TN
• "Crash Course: Biostatistics and Epidemiology"
  May 2022
  Invited lecture, ENABLE HiDAV Boot Camp, University of North Carolina at Chapel Hill

Repositories

• HOOVS : high-dimensional ordinal outcome variable selection
• 
  SLDeepAssay : quantifying the HIV reservoir with dilution assays and deep viral sequencing
• 
  sparcc : semiparametric estimation with a censored covariate
• 
  mismex : causal inference with a mismeasured continuous exposure