Navigating a Noisy World: Overcoming Limitations

Tamara Broderick, a newly tenured associate professor at MIT, uses Bayesian inference to quantify uncertainty and measure the robustness of data analysis techniques. Her focus is on understanding the limitations of statistical tools and collaborating with various fields to develop better tools for specific situations. Broderick's research includes projects such as developing a machine-learning model for more accurate predictions about ocean currents and creating a tool to help severely motor-impaired individuals use a computer's graphical user interface. Her passion for problem-solving extends to her hobby of collecting hiking patches with her husband, combining her love for the outdoors and exploration.