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Benjamin Ackerman
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Benjamin Ackerman

Quantitative Scientist

Flatiron Health

I am a Quantitative Scientist at Flatiron Health, working on methods to improve cancer care using EHR data.

In March 2020, I completed my PhD in the Department of Biostatistics at the Johns Hopkins Bloomberg School of Public Health working with 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 Autism Spectrum Disorders, mental health, and LGBT health.

I am also a former Data Science for Social Good Fellow, where I worked with an interdisciplinary team to build a predictive model for an individual’s risk of developing Type 2 Diabetes.

Interests

  • Causal Inference
  • Electronic Health Records (EHR)
  • Public Health / Epidemiology

Education

  • PhD in Biostatistics, 2020

    Johns Hopkins Bloomberg School of Public Health

  • BA in Public Health Studies, 2015

    Johns Hopkins University

Projects

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All Dissertation R Electronic Health Records Social Good

Supporting Proactive Diabetes Screenings to Improve Health Outcomes

Data Science for Social Good 2018 Project

Transporting Measurement Error Correction from Validation Samples to Intervention Trials

The Impact of the 2017 GOP Tax Bill on Grad Students

A Shiny app to visualize potential impacts of the ‘grad student’ tax

generalize: an R package for estimating population effects from randomized trial data

Generalizing RCT findings to a Target Population

© Benjamin Ackerman, 2020 · Powered by the Academic theme for Hugo.

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