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Staff Data Scientist, Granular (Corteva Agriscience)

2021 — present

Data science lead, Carbon portfolio. Large-scale spatial modeling of crop yield and field management from satellite imagery and remote sensing; detection of crop rotation patterns; educational talks to fellow data and research scientists.

Principal Data Scientist, CBRE

2019 — 2021

Head, CBRE Build Data Science. Natural language processing for lease abstraction; economic and epidemiological modeling for corporate response to the COVID pandemic; forming a multinational community of data practitioners within the company.

Senior Data Scientist, CBRE

2018 — 2019

Subject matter expert, data and product analytics. Bespoke user behavior understanding; product valuation via productivity gain estimates; education and outreach to engineers and product managers.

Data Scientist, CBRE

2016 — 2018

Product analytics for CBRE Build, a commercial real estate platform. Product instrumentation and usage analytics; pipelines for automated data collection and processing; data visualization and dashboarding.

Postdoctoral Researcher, Princeton University

2013 — 2016

Statistical and theoretical epidemiology. Study of small-population epidemic dynamics; computer vision algorithms for histological image processing; development and delivery of scientific computing courses for the Princeton Institute for Computational Science and Engineering.

PhD, University of Warwick

2009 — 2013

Mathematical and computational neuroscience. Derivation of new algorithms for solving the path integral on branching dendritic structures, in the time and Laplace domains; development and delivery of scientific computing courses to Masters students.