Sr. Manager, Data Science, Sound Agriculture

2023 — present

Senior Manager, Data Science. I lead data organization, tooling, and infrastructure for the Agronomy business within Sound. My team built tools for consumption, alignment, and analysis of satellite imagery, remote sensing, and harvest monitor data. We changed the way analysis is done at Sound, from one point per field to thousands.

Staff Data Scientist, Granular (Corteva Agriscience)

2021 — 2022

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.