Experience

CarbonSpaceTech

• Ireland
• IT Services and IT Consulting
• 1 - 100 Employee

• Head of Science

  • Jan 2023 - Present

  Developed a product to provide customers with high quality, globally scalable estimates of carbon stocks and carbon emissions based on remote sensing measurements from satellites and ground stations. Developed a product to provide customers with high quality, globally scalable estimates of carbon stocks and carbon emissions based on remote sensing measurements from satellites and ground stations.


The City College of New York
• United States
• Higher Education
• 700 & Above Employee
• Senior Researcher

  • Oct 2020 - Present


Jet Propulsion Laboratory

• United States
• Defense and Space Manufacturing
• 700 & Above Employee

• Senior Research Staff

  • 2000 - Oct 2020

  ● Principal Investigator for three projects applying statistical pattern recognition and signal processing techniques to seismology. Notable achievements of these projects include developing the first ever method to detect, locate, and characterize the rupture dimensions of earthquakes in real time, developing a method to detect previously unknown slow earthquake signals from seismic network time series, and improving in earthquake forecasting technology.● Co-Investigator on many more projects in the areas of data analysis, fault tolerant computing, and scalable scientific computing, with a focus on Earth and space-based sensor networks. Notable achievements include developing an interactive engineering health monitoring system for the International Space Station, developing a web portal interface to the Plate Boundary Observatory GPS network, developing several methods for automatically detecting anomalies in GPS time series data, and developing fault tolerant machine learning algorithms that enable radiation-induced errors to be detected in software rather than hardware.● Pattern Analysis Element Lead for the QuakeSim Project (2001-present). QuakeSim is a multi-institutional project bringing together geophysical data sources, computational physical modeling efforts, and statistical pattern recognition data analysis techniques under a web services / web portal framework for use by geophysicists. Coordinated the efforts of researchers at JPL, the University of California, Davis, and Indiana University, Bloomington. This area of the project received consistently excellent marks in technical reviews and helped earn several rounds of follow-on funding. ● Submitted numerous successful grant proposals as Principal or co-Investigator, receiving funding totaling over $7 million.● Led a decade-long successful effort to gain acceptance of statistical machine learning methods within the field of solid earth science, where such was nonexistent before. Show less

• OCO-2 Science Team Algorithms Lead

  • May 2013 - Dec 2018

  ● Supervised science algorithm research and software development work by approximately 20 scientists and engineers. OCO-2 launched on July 2, 2014.● Oversaw university and commercial subcontracts providing deliverables to the OCO-2 Science Team.● As part of a three person team with the Project Scientist and Deputy Project Scientist, scheduled, coordinated, and supervised Science Team activities across all elements (Algorithms, Spectroscopy, Validation, Science Data Operations Systems).● Acted as liaison between the OCO-2 project and the Instrument Software and Science Data Systems Section. Identified and recruited necessary Science Team personnel internally and externally.● Performed research as a member of the Uncertainty Quantification team working to characterize uncertainty in the mission observations. Show less

• Group Supervisor, Machine Learning and Instrument Autonomy

  • Mar 2008 - Mar 2014

  ● Supervised research and development work by up to 16 employees (primarily Ph.D. level) providing solutions to NASA’s data analysis and autonomy needs. The group’s focus is on one-of-a-kind solutions to unique, domain-specific problems, often under severe resource constraints (processing power, memory, transmission bandwidth) or involving analysis of very large data sets.● Responsible for setting direction and ensuring the technical quality of group research work, software development, publications, and grant proposals.● Managed all group personnel matters, including yearly performance evaluations, salary reviews, recruiting, hiring, layoffs, and overseeing summer internships.● Notable group achievements during this period include the successful launch and deployment of two automated chemical sensors for the International Space Station, the first ever autonomous detection and selection of rock imagery by a Mars Exploration Rover (NASA 2011 Software of the Year), and installation of an autonomous fast radio transient detector of unusual astrophysical signals in the Very Long Baseline Array. Show less

• Research Staff

  • Apr 1996 - Sep 2000

  ● Conducted research and development in machine learning, autonomy, signal processing, supercomputing, imaging systems, scientific modeling, and fault tolerant computing.● Notable achievements during this time period include developing a parallel algorithm for sub-pixel change detection in spacecraft imagery, developing scalable versions of unsupervised clustering methods for gene expression analysis and sky object classification, and developing a library of algorithm-based fault tolerant numerical subroutines for scientific computing. Show less