Daniel D.L. Coppersmith, M.A.
Daniel's research focuses on how to leverage advances in technology to improve the prediction and treatment of self-injurious thoughts and behaviors. Daniel is particularly interested in how real-time monitoring technologies, digital phenotyping, and machine learning can be combined to provide precise and personalized predictions of risk and resilience.
Daniel is a 2019 recipient of the National Science Foundation Graduate Research Fellowship.