University of Pennsylvania · Mathematics & StatisticsARS Clinical Trials Lab
Michael Oscar Harhay · Philadelphia, Pennsylvania
Research Focus
Dr. Michael Harhay's research lab focuses on improving the design and analysis of clinical trials for acute respiratory distress syndrome (ARDS), a serious condition that leads to respiratory failure. The lab employs advanced statistical methods, specifically Bayesian causal inference and machine learning, to evaluate data from numerous clinical trials. By reanalyzing existing data, the lab aims to uncover valuable insights that traditional methods may miss, ultimately helping to identify effective treatments for ARDS and understand which patient groups may benefit the most.
acute respiratory distress syndromeBayesian causal inferenceclinical trialsmachine learningtreatment efficacystatistical analysisheterogeneity of treatment effects
Research Aims
5AIM 01Evaluate the probability of beneficial treatment effects for ARDS therapies.
AIM 02Identify patient subgroups most likely to benefit from specific treatments.
AIM 03Develop and disseminate cloud-based software for ARDS trial support.
AIM 04Enhance understanding of mortality and non-mortality outcomes in ARDS patients.
AIM 05Reanalyze previous ARDS trials to extract deeper clinical insights.
Skills the Lab Values
Bayesian modelingmachine learning techniquesstatistical analysisdata interpretationsoftware developmentclinical trial designmeta-analysisprogramming in R or Python
Output against the department
Publications367top 27% of dept.35th of 131
this lab
most publishedleast published
Citations23ktop 23% of dept.30th of 131
this lab
most citedleast cited
Career totals from OpenAlex, compared against labs that share a department. A department spans everything from one paper to tens of thousands, so bar heights are on a log scale — otherwise the largest lab would flatten every other bar to a line.