CV
Education
- Ph.D in Physics and Astronomy, University of Glasgow, 2022
- B.S. in Physics and Astronomy, University of Mississippi, 2016
Work experience
- April 2023 - Present: Lead Technologist/Associate/AI Solution Architect
- Booz Allen Hamilton
- Duties included: Provde technical and program management support to several clients at the Defense Advanced Research Projects Agency (DARPA).
- Supervisor: Dr. Matt Julian, Lead Physicist / Associate.
- November 2021 - April 2023: Staff Technologist/Senior Consultant/AI Solution Architect
- Booz Allen Hamilton
- September 2019 - March 2020: Research Scientist
- Craft Prospect
- Duties included: Prototyping emerging AI techniques for the practical delivery of space-based QKD systems.
- Supervisor: Steeve Greenland, CEO.
- September 2016 - July 2017: Fulbright Fellowship Finalist
- Max Planck Institute for Gravitational Research (Hannover, Germany)
- Duties included: Applications of machine learning to the LIGO search for gravitational waves.
- Supervisor: Dr. Andrew Lundgren
- Summer 2015: NSF REU Research Assistant
- University of Texas Rio Grande Valley
- Duties included: Using unsupervised machine learning to classify glitches in LIGO data.
- Supervisor: Professor Soma Mukherjee
- Summer 2014: NSF IREU Research Assistant
- University of Florida and Laboratoire de l’Accélérateur Linéaire
- Duties included: Characterization of the Omicron trigger generator for LIGO.
- Supervisor: Dr. Florent Robinet
Programming Languages/Packages
- Python (extensive experience)
- TensorFlow (extensive experience)
- PyTorch (extensive experience)
- Keras (extensive experience)
- HTML (some experience)
- Bash (some experience)
- C++ (minimal experience)
- MATLAB (minimal experience)
Publications
Limiting the effects of earthquakes on gravitational-wave interferometers
Coughlin, Michael, Paul Earle, Jan Harms, Sebastien Biscans, Christopher Buchanan, Eric Coughlin, Fred Donovan, et al. “Limiting the Effects of Earthquakes on Gravitational-Wave Interferometers.” Classical and Quantum Gravity 34, no. 4 (February 2017): 044004. https://doi.org/10.1088/1361-6382/aa5a60.
Control strategy to limit duty cycle impact of earthquakes on the LIGO gravitational-wave detectors
Biscans, S, J Warner, R Mittleman, C Buchanan, M Coughlin, M Evans, H Gabbard, et al. “Control Strategy to Limit Duty Cycle Impact of Earthquakes on the LIGO Gravitational-Wave Detectors.” Classical and Quantum Gravity 35, no. 5 (2018): 055004. https://doi.org/10.1088/1361-6382/aaa4aa.
Matching Matched Filtering with Deep Networks for Gravitational-Wave Astronomy
Gabbard, Hunter, Michael Williams, Fergus Hayes, and Chris Messenger. “Matching Matched Filtering with Deep Networks for Gravitational-Wave Astronomy.” Physical Review Letters 120, no. 14 (June 2018). https://doi.org/10.1103/physrevlett.120.141103.
Ground motion prediction at gravitational wave observatories using archival seismic data
Mukund, Nikhil, Michael Coughlin, Jan Harms, Sebastien Biscans, Jim Warner, Arnaud Pele, Keith Thorne, et al. “Ground Motion Prediction at Gravitational Wave Observatories Using Archival Seismic Data.” Classical and Quantum Gravity 36, no. 8 (January 2019): 085005. https://doi.org/10.1088/1361-6382/ab0d2c.
Bayesian parameter estimation using conditional variational autoencoders for gravitational-wave astronomy
Gabbard, H., Messenger, C., Heng, I.S. et al. Bayesian parameter estimation using conditional variational autoencoders for gravitational-wave astronomy. Nat. Phys. 18, 112–117 (2022). https://doi.org/10.1038/s41567-021-01425-7
Talks
Characterization of the Omicron Trigger Generator and Transient analysis of aLIGOData
Poster at April APS Meeting, Baltimore, Maryland
A low-latency Glitch Classification Algorithm Based in Waveform Morphology for Advanced LIGO
Talk at Mississippi Academy of Sciences Meeting, Hattiesburg, MS
The Birth of Gravitational-wave Astronomy
Invited Talk at Mississippi State University SPS, Starkville, MS
A low-latency Glitch Classification Algorithm Based in Waveform Morphology for Advanced LIGO
Talk at April APS Meeting, Salt Lake City, UT
Genetic Programming Applied to Glitch Classification at LIGO
Talk at Computing in HighEnergy AstroParticle Research Conference, Columbus, OH
Machine Learning and Gravitational-wave Astronomy
Outreach Talk at 7 Minutes of Science, Glasgow, UK
Matching Matched Filtering with Deep Networks in Gravitational-wave Astronomy
Talk at LVC March Meeting, Sonoma, CA
An overview of LIGO-Virgo machine learning applications for gravitational wave astronomy
Talk at Machine Learning in Science and Engineering conference, Pittsburgh, PA
Gravitational wave data analysis with machine learning
Talk at Gravitational-wave Excellencethrough Alliance Training Kick-off Meeting, Beijing, China
Gravitational wave data analysis with machine learning
Talk at Edinburgh MOST Meeting, Edinburgh, UK
CNNs and GANs applied towards the search for gravitational waves
Talk at Annual ScotDist Meeting, Glasgow, UK
Matching Matched Filtering Using Deep Learning
Talk at SUPA Annual Gathering, Glasgow, UK
Machine Learning and its application towards the search for Gravitational waves
Invited Talk at The International Congress on Industrial and Applied Mathematics (ICIAM), Valencia, Spain
Teaching
Service and leadership
- Currently signed in to 43 different slack teams