Data Science & Data Technology for JPL's Remote Sensing Missions
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Machine Learning expert working to spread simple, powerful data-driven techniques to new fields in science and industry.
UCLA
Doctor of Philosophy (Ph.D.), Physics
January 1, 1995 – January 1, 2002
University of Arizona
Engineer's Degree, Engineering Physics
January 1, 1991 – January 1, 1994
NASA Jet Propulsion Laboratory
Program Manager, Earth Data Science & Technology
October 1, 2023 – Present
NASA Jet Propulsion Laboratory
Group Supervisor, Machine Learning & Instrument Autonomy Group (398J)
January 1, 2017 – October 1, 2023
NASA Jet Propulsion Laboratory
Machine Learning & Instrument Autonomy Group Lead, Mission Liaison, and Strategic Planner
September 1, 2016 – January 1, 2017
NASA Jet Propulsion Laboratory
Applied Machine Learning Researcher
December 1, 2002 – October 1, 2023
Novalogic
Game Designer
May 1, 1998 – May 1, 1999
Cultural Fit Analysis
The candidate's background at NASA JPL, a highly research-oriented and innovative environment, suggests a strong fit for organizations valuing scientific rigor, long-term strategic thinking, and complex problem-solving. Their experience in managing research projects and leading technical groups indicates an ability to work within structured, goal-oriented teams. The transition from a research-heavy role to a 'Data Analyst' target role might require an adjustment in focus from pure research and program management to more direct data analysis and reporting, but their foundational skills are highly relevant. The breadth of skills in data science, ML, AI, and program management, combined with a physics PhD, indicates a strong capacity for continuous learning and adapting to new challenges.
Soft Skills & Operational Fit
The candidate's extensive experience in leadership roles (Program Manager, Group Supervisor) at NASA JPL suggests strong communication, strategic planning, and team facilitation skills. Their descriptions highlight a passion for evangelizing data-driven technologies, indicating a proactive and collaborative work attitude. The long tenure at a single, highly reputable organization suggests stability and dedication. However, without specific psychometric test results, a definitive assessment of stress handling and direct team collaboration style is limited.