Hi there! Welcome.

Currently, I am a Director of Real-world Biostatistics at GSK, where I design and analyze real-world data studies in oncology, applying novel causal inference methods for robust evidence generation.

My methodological research addresses biases that arise when combining trials and real-world data. I previously led a research team at J&J to develop novel statistical methods to quantify and mitigate biases due to endpoint measurement differences when conducting external control arm analyses. See here to learn more about this research.

I earned my PhD in Biostatistics at the Johns Hopkins Bloomberg School of Public Health where I was advised by Dr. Elizabeth Stuart. My dissertation research focused on statistical methods for generalizing findings from randomized trials to a target population, and transporting measurement error correction from validation studies to intervention trials. My applied public health interests also include oncology, mental health, and LGBTQ+ health.


Experience

GSK | Director, Real-world Biostatistics | May 2026 - Present

Johnson & Johnson | Principal Scientist, Biostatistics | August 2022 - May 2026

Flatiron Health | Quantitative Scientist | June 2020 - August 2022

SAJE Consulting | Statistician/Programmer | March 2016 - March 2020

Data Science for Social Good | Fellow | Summer 2018

Education

Johns Hopkins Bloomberg School of Public Health | Baltimore, MD
Ph.D. in Biostatistics | August 2015 - March 2020

Johns Hopkins University | Baltimore, MD
BA in Public Health Studies | August 2011 - May 2015


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Ben Ackerman

Director, Real-world Biostatistics, GSK
Interested in
  • Causal inference
  • Electronic health records
  • Transportability