Dan Adler

I am an incoming Tenure-Track Assistant Professor in Computer Science and Engineering at the University of Michigan and current postdoctoral associate at Cornell University. I am recruiting PhD students. Please check out the “Let’s Work Together” page for more information.

My goal is to develop technologies that improve healthcare for everyone. Towards this, I design, develop, and evaluate novel data-driven technologies and AI models by rigorously studying their high-stakes and complex healthcare applications. My research is inherently interdisciplinary, and sits at the intersection of human-computer interaction (HCI), responsible AI, ubiquitous computing, and digital health. At Michigan, I am affiliated with the Human Centered Computing Lab and the Eisenberg Family Depression Center.

Much of my work has focused on developing novel passive sensing AI technologies that repurpose the behavioral and physiological data generated by consumer devices to monitor symptoms of mental illness. I have developed AI tools that model multivariate behavioral and physiological data to identify individual-specific behaviors associated with symptoms of schizophrenia and depression. I have created frameworks for evaluating the generalizability and reliability of these AI tools. Finally, I have conducted participatory and speculative user-centered research to study how passive sensing technologies can support clinical actions, worker well-being, and novel healthcare payment programs.

You can check out my publications on Google Scholar and connect with me on LinkedIn.