Diane L. Damos, PhD — Pilot Lost Earnings Expert

We specializes in three areas.  The first is  estimating lost earnings for professional pilots.  We have developed a proprietary database that allows us to project a pilot's career path.  This projection allows us to make more accurate estimates of lost earnings than simply relying on government databases of average earnings.  

Our second area pertains to pilot selection and hiring.  Dr. Damos has been involved in pilot selection for more than 40 years and has worked with  civilian selection systems for both ab initio and experienced pilots. She also deals with pilot performance, certification, and qualification issues.

The third area concerns standards of care for flight attendants.  This includes trip-and-fall accidents during boarding and deplaning and a onboard injuries.  We also have expertise in flight attendant staffing issues. 

Diane received her doctorate in aviation psychology from the University of Illinois.  She was a faculty member of the Department of Human Factors of the Institute of Safety and Systems Management at the University of Southern California where she taught human factors and aviation psychology. She has authored over 25 articles in scientific publications and more than 50 technical reports and proceedings articles on training and cognition as well as on selection.  She was a domain editor for the International Journal of Aviation Psychology.  Dr. Damos is also a Fellow of the Human Factors and Ergonomics Society and a Fellow of the Royal Aeronautics Society.  Diane has a Commercial Pilots Certificate with instrument and multi-engine ratings and holds the Instrument and Advanced Ground Instructor Certificates. 

Dr. Damos has worked as a consultant for air carriers and training companies in the United States, Africa, the West Indies, and Asia. She has lectured and taught courses and seminars on pilot selection in Taiwan, South Africa, Spain, and Canada as well as in the United States.  She has worked extensively with a flight attendants' union to determine staffing levels through task analysis and on-board data collection.