David Lary

The thread running through all my research is the use of observation and automation to facilitate scientific discovery and societal benefit. This has been applied in the area of Earth System Science. A particular focus has been determining atmospheric composition using earth observation for health applications (I am also adjunct professor of Public Health at the University of North Texas Health Sciences Center, and at the Center for Astrophysics, Space Physics, and Engineering Research (CASPER) at Baylor University). My lab is called MINTS-AI.

The key tools that we use are large scale computer automation, artificial intelligence and machine learning, Big Data, massively parallel processing and data storage, automatic code generation, and a fleet of autonomous robotic vehicles. There are plenty of opportunities for student research at the graduate, undergraduate and high school level.

Access to all our research papers is available through Google Scholar, Semantic Scholar, ORCiD, Academia, ResearchGate, PubMED, Scopus, and Web of Science (Publons), UTD Research Profile.

Our sensor maps are now live.

… Check out Saint Lary!