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David Lary

  • Prof.
  • Associate Professor
  • University of Texas at Dallas
  • 20

    h-index

    Impact measure calculated by Scopus using these publications and citation counts.
  • 1388

    Citations

    Number of citations received by these publications in Scopus.

Research interests

BigData | Machine Learning | Smart Cities | Remote Sensing | Health Applications | Unmanned Aerial Vehicles | IoT | PM2.5

About

Bio: David Lary completed his education in the United Kingdom. He received a First Class Double Honors B.Sc. in Physics and Chemistry from King’s College London (1987) with the Sambrooke Exhibition Prize in Natural Science, and a Ph.D. in Atmospheric Chemistry from the University of Cambridge, Churchill College (1991). His thesis described the first chemical scheme for the ECMWF numerical weather prediction model. David then held post-doctoral research assistant and associate positions at Cambridge University until receiving a Royal Society University Research Fellowship in 1996 (also at Cambridge). The Royal Society is the world’s oldest scientific academy, founded in 1660. From 1998 to 2000 David held a joint position at Cambridge and the University of Tel-Aviv as a senior lecturer and Alon fellow. An Alon Fellow is the highest award Israel can give a young scientist. In 2000 the chief scientific adviser to the British Prime Minister and Head of the British Office of Science and Technology, Professor Sir David King, recommended David to be appointed as a Cambridge University lecturer in Chemical Informatics. In 2001 David joined UMBC/GEST as the first distinguished Goddard fellow in earth science at the invitation of Richard Rood. His automatic code generation software, AutoChem, has received five NASA awards and has been recommended for the NASA Software of the Year Award. David is currently involved with NASA Aura validation using probability distribution functions and chemical data assimilation, neural networks for accelerating atmospheric models, the use of Earth Observing data for health and policy applications, and the optimal design of Earth Observing Systems. The thread running through all the research is the use of observation and automation to facilitate scientific discovery. His application of machine learning to bias detection and proxy inference led to the creation of the first global seamless record of atmospheric chlorine and received recognition as a NASA Aura mission science highlight, was selected as NASA GSFC Atmospheric Chemistry and Dynamics Branch selected publication, and a JCET science highlight. David has received three prestigious fellowships, four editorial commendations, around five million dollars in research funding, six NASA awards, and has seventy-one publications with over a thousand citations in the peer-reviewed literature with a Hirsch Index of sixteen and on average 20.2 citations per publication.

Co-authors (170)

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Publications

The ignite distributed collaborative scientific visualization system

  • Bhojwani S
  • Hemmings M
  • Ingalls D
  • Lincke J
  • Krahn R
  • Lary D
  • McGeer P
  • Ricart G
  • Röder M
  • Coady Y
  • Stege U
Proceedings - IEEE 7th International Conference on Cloud Computing Technology and Science, CloudCom 2015 (2016)
  • --

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Near-Field Characterization of Methane Emission Variability from a Compressor Station Using a Model Aircraft

  • Nathan B
  • Golston L
  • O'Brien A
  • Ross K
  • Harrison W
  • Tao L
  • Lary D
  • Johnson D
  • Covington A
  • Clark N
  • Zondlo M
Environmental Science and Technology (2015)
  • --

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Full text

Open-path greenhouse gas sensor for UAV applications

  • Khan A
  • Schaefer D
  • Roscoe B
  • Sun K
  • Tao L
  • Miller D
  • Lary D
  • Zondlo M
2012 Conference on Lasers and Electro-Optics, CLEO 2012 (2012)
  • --

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Open-path greenhouse gas sensor for UAV applications

  • Amir Khan
  • Schaefer D
  • Roscoe B
  • Sun K
  • Tao L
  • Miller D
  • Lary D
  • Zondlo M
Optics InfoBase Conference Papers (2012)
  • --

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    Readers not available. This publication is not currently accessible in the Mendeley catalog.

Open-path greenhouse Gas Sensor for UAV applications

  • Khan A
  • Schaefer D
  • Roscoe B
  • Sun K
  • Tao L
  • Miller D
  • Lary D
  • Zondlo M
CLEO: Science and Innovations, CLEO_SI 2012 (2012)
  • --

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    Readers not available. This publication is not currently accessible in the Mendeley catalog.

Professional experience

Associate Professor

University of Texas at Dallas

May 2010 - Present

Full Research Professor/Senior Research Scientist

Software Integration and Visualization Office, NASA Goddard Space Flight Center

July 2008 - May 2010 (2 years)

Full Research Professor/Senior Research Scientist

Atmospheric Chemistry and Dynamics Branch, NASA Goddard Space Flight Center

June 2006 - June 2008 (2 years)

Senior Research Scientist

Global Modeling and Assimilation Office, NASA Goddard Space Flight Center

October 2002 - June 2006 (4 years)

First Distinguished Goddard Fellow in Earth Science

Global Modeling and Assimilation Office, NASA Goddard Space Flight Center

October 2001 - October 2002 (a year)

Royal Society University Research Fellow

University of Cambridge Department of Biochemistry

September 1996 - September 2002 (6 years)

University Lecturer in Chemical Informatics

University of Cambridge

September 2000 - October 2001 (a year)

Senior Lecturer and Alon Fellow

University of Tel-Aviv, Department of Geophysics and Planetary Space Science

September 1998 - September 2000 (2 years)

Post Doctoral Research Associate

University of Cambridge Department of Chemistry

September 1994 - September 1996 (2 years)

Post Doctoral Research Assistant

University of Cambridge Department of Biochemistry

January 1991 - September 1994 (4 years)

Education history

Department of Chemistry and Churchill College, University of Cambridge

PhD

September 1987 - January 1991 (3 years)

King's College London

First Class Double Honors BSc. In Physics & Chemistry

September 1984 - July 1987 (3 years)