David Lary, PhD

The thread running through all of Dr. David Lary's research is preemptive human protection and holistic sensing in service of society using machine learning and data-driven insights, using observation and automation to facilitate discovery, with a focus in human health. The sensing spans multiple scales – from wearable sensors of cognitive performance, to autonomous robotic teams, to remote sensing from satellites.
David Lary's printable bio
With more than 100+ peer-reviewed articles, Dr. Lary focuses on providing actionable insights with multiuse, multi-scale integrated interactive intelligent sensing and simulation in service of society.

Machine Learning Applications for Earth Observation
This paper is a review of machine learning applications in Earth science.

Autonomous Learning of New Environments With a Robotic Team Employing Hyper-Spectral Remote Sensing
An autonomous robotic team can learn the characteristics of environments, advancing machine learning algorithms faster than ever before.

Modeling Autonomic Pupillary Responses from External Stimuli Using Machine Learning
Researchers developed a model to predict pupil size using environmental and biometric data.