Meet Our Researchers
Sam Friedman
Senior Machine Learning Scientist, Data Sciences Platform at the Broad Institute
Sam Freidman wields his machine learning expertise to build models that can both drive foundational research and impact clinical care, such as predicting risk for common heart conditions like heart arrhythmias.
Project Description
Large biological datasets have enormous potential in helping to answer important questions on human health and disease but they are challenging to study, especially when dissecting individual data inputs—an issue known to perpetuate biases against marginalized groups. Sam, who previously worked on visualizing data at Apple, will address this as a BroadIgnite awardee by developing machine learning methods to identify and mitigate biases in large biological datasets, including those involving sex and race.