About me
Ben Ackerman is a Principal Scientist at Johnson & Johnson Innovative Medicine, where he provides support across therapeutic areas to design and analyze randomized trials, namely those that combine trial data with real-world data. He has expertise in causal inference methods to address various biases in both randomized trials and non-experimental studies. Previously, he worked as a Quantitative Scientist at Flatiron Health, an oncology real-world data vendor, where he oversaw the design of studies leveraging EHR data to improve cancer care in the United States. Ben holds a PhD in Biostatistics from the Johns Hopkins Bloomberg School of Public Health.
