Resume

Lead Data Scientist specializing in geospatial intelligence, machine learning, and greenhouse-gas emissions monitoring. PhD atmospheric scientist turned applied data scientist, working across climate tech and the energy sector. A full bibliography is on my ORCID and Google Scholar.

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Experience

Lead Data Scientist, Geospatial Intelligence — CenterPoint Energy

Houston, TX · 2025 – Present

• Lead the design and delivery of machine learning and geospatial models that turn large, heterogeneous datasets into operational decisions for grid reliability, resilience, and sustainability.
• Partner across engineering, operations, and analytics teams to move models from prototype to production on cloud infrastructure.

Senior Data Scientist — SeekOps Inc.

Austin, TX

• Developed and improved algorithms and models for detecting, quantifying, and attributing methane and other greenhouse-gas emissions from drone- and sensor-based measurements.
• Built data pipelines and analytics at the intersection of remote sensing, atmospheric science, and machine learning.

Postdoctoral Fellow / Researcher — NASA Langley Research Center

Hampton, VA

• NASA Postdoctoral Program fellow analyzing aerosol water uptake at the Department of Energy's Southern Great Plains (SGP) site with Dr. Rich Ferrare.
• Published peer-reviewed research on aerosol microphysics and remote sensing.

Education

• Ph.D., Atmospheric Science — North Carolina State University (2013 – 2017)
• Graduate & undergraduate study — North Carolina State University

Skills

Certifications & Honors

• Microsoft Certified: Azure AI Fundamentals (2022)
• Marquis Who's Who Honored Listee (2024)
• NASA Postdoctoral Program Fellow

Professional Memberships

• American Meteorological Society (AMS)
• American Geophysical Union (AGU)
• Society of Petroleum Engineers (SPE)