I'm enthusiastic about helping organizations make sound, data-driven business decisions. I enjoy the process of exploring, visualizing, and understanding where data come from, what they mean and determining how best to act on them. I particularly relish the opportunity to tackle problems of a spatial nature.
Lead team of data scientists, remote sensing scientists and developers in carrying out analyses and building tools to understand the performance of Indigo's technologies, forecast global crop production, and improve the algorithms underpinning Indigo's grain marketplace.
Led team of scientists in building a machine learning platform to answer critical, time-sensitive economic and environmental questions from satellite-derived imagery, especially related to agriculture.
Founding member of GAMMA, BCG's data science consultancy, contributed to cases in retail, banking, healthcare, telecommunications, transportation & logistics. Led BCG's real estate analytics offering for retail clients.
Lead researcher on a variety of projects exploring methodologies to identify hotspots of disease and crime in space and time. Core contributor to PySAL (open source Python library for spatio-temporal analyses) and GeoDaSpace (closed source application for spatio-temporal econometric modeling).
Carried out strategic analyses for company executives to inform real estate decisions. Duties included determining market prioritization, developing sales and cannibalization projections, offering in-fill strategies and optimizing individual markets.
Transformed massive spatial databases pertaining to demographics, schools, crime, housing, and more for neighborhoods across the United States into web tools for home buyers.
Primary instructor for quantitative environmental modeling course, which taught students how to construct and critique mathematical models and provided an introduction to computer programming. Responsible for preparing and delivering lectures, labs, and exams.
Responsible for securing, planning and directing GIS projects with state and municipal clients. Assisted in the design and development of the ViewPermit and ViewDocs software products.
Provided GIS and computer programming support on a number of projects pertaining to human-environment interaction and land-change science. Conducted statistical analyses and carried out a number of independent projects investigating vegetation phenology and climate variability for the Southern Yucatan region of Mexico.
Dissertation titled "Essays on Space-Time Interaction." Advised by Luc Anselin, Serge Rey and Alan Murray. Funded by a National Science Foundation Graduate Research Fellowship and a GeoDa Center Fellowship.
Thesis titled "Examining Interannual Variation of Deciduousness in the Seasonally Dry Tropical Forests of the Southern Yucatan Using MODIS Data." Advised by John Rogan and Billie Lee Turner, II.
Thesis titled "Effect of category aggregation on map comparison." Awarded highest honors by the School of Geography. Advised by Gil Pontius and Billie Lee Turner, II.
BCG Perspectives, Feb 2016
PLOS ONE, Feb 2013
Transactions in GIS, Feb 2013
Computers, Environment & Urban Systems, Nov 2012
Statistics in Medicine, Apr 2012
Landscape Ecology, Oct 2006
Lecture Notes in Computer Science, Oct 2004
Python for geoanalytics, lead author. A fully documented, Python-based library of spatial analysis and spatial optimization tools to expedite common casework tasks. Proprietary to BCG.
Python spatial analysis library, contributor to econometrics and spatial dynamics modules as well as documentation.
Contributor to regression diagnostic module and documentation.