What an AI agent reads on Daniel Adler Md
An assistant's crawler fetches the page once, without running JavaScript, and reads the text, the structured data and the links. Below is what it gets from dadler.co, taken from the copy the scanner kept.
3,218
characters of text without JavaScript
none
structured data for the business
0
of 3 AI crawlers turned away at the edge
The words an agent gets
Title: Dan Adler · language en. First 1,800 of 3,218 characters:
Dan Adler Toggle navigation Home (current) News CV Publications LinkedIn Dan Adler I am a Tenure-Track Assistant Professor in Computer Science and Engineering at the University of Michigan. I lead the REsponsible and Actionable Computing for Healthcare (REACH) Lab. I am not recruiting PhD students in the 2026-27 application cycle. 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. Much of my work focuses on how to make these technologies actionable – using collected data to support actions that improve our health and well-being. 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, the Artificial Intelligence (AI) Lab, the Eisenberg Family Depression Center, and the Michigan Institute for Data & AI in Society. 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
What it can say about the business
| A business type in JSON-LD | no |
| Name | no |
| Telephone | no |
| Address | no |
| Opening hours | no |
| Menu or price list | nothing |
| Cuisine in structured data | no |
| JSON-LD blocks | 0 |
The links it would act on
No booking or ordering link found. An agent has nothing to act on.
Everything here comes from fetching the homepage once as a crawler. The report turns it into a score and a list of fixes, with code to paste.