Kyle Taylor
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Kyle Taylor Email & Phone Number

Head of Data Science and AI at INTENT
Location: Fort Collins, Colorado, United States 10 work roles 3 schools
1 work email found @in10t.ag LinkedIn matched
✓ Verified May 2026 4 data sources Profile completeness 100%

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Current company
Role
Head of Data Science and AI
Location
Fort Collins, Colorado, United States

Who is Kyle Taylor? Overview

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Quick answer

Kyle Taylor is listed as Head of Data Science and AI at INTENT, based in Fort Collins, Colorado, United States. AeroLeads shows a work email signal at in10t.ag and a matched LinkedIn profile for Kyle Taylor.

Kyle Taylor previously worked as Machine Learning Engineer at Intent and Senior Software Engineer (Geospatial) at Intent. Kyle Taylor holds Master Of Science (Msc), Botany (Ecosystem Modeling) from University Of Wyoming.

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Email format at INTENT

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{first}@in10t.ag
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Profile bio

About Kyle Taylor

Quant with a decade of experience delivering data-driven insights in agriculture. Skilled in ecology, spatial statistics, computer science, and machine learning. My climbing rack (tools are left-binding): TI-83 (Plus), C/Rust, GEOS/GDAL/PostGIS/Spatialite, Python, Scikit/PyTorch, R/Julia/Stan, Git, Dask/Celery/Rabbitmq, FreeBSD(Bare metal), Linux(Containers), Docker, Kubernetes, Google Cloud Platform/AWS.

Listed skills include Statistics, Gis, Ecology, R, and 41 others.

Current workplace

Kyle Taylor's current company

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INTENT
Intent
Head of Data Science and AI
Fort Collins, CO, US
AeroLeads page
10 roles

Kyle Taylor work experience

A career timeline built from the work history available for this profile.

Head Of Data Science And Ai

Fort Collins, CO, US

Machine Learning Engineer

Current

Saint Louis, Missouri, US

Dec 2023 - Present

Senior Software Engineer (Geospatial)

Saint Louis, Missouri, US

May 2022 - Dec 2023

Software Engineer Iii

Reston, VA, US

Full stack developer working with a large, mixed-discipline team of geographers and engineers at USGS-NGTOC. Worked on ETL'd products distributed through The National Map, including 3DEP-derived elevation data and hydrology data from the National Hydrography Dataset. I did my best work in the back-of-the-shop, largely in Python/SQL (GDAL/OGR and the OSGEO.

Apr 2021 - Jul 2022

Remote Sensing Analyst Iii

Washington, DC, US

I worked with the USFS's FHAAST, GTAC, and EFETAC teams analyzing petabyte-scale remotely sensed imagery; mostly from Sentinel-2, Landsat, and NAIP missions on Google's Cloud Platform (and Earth Engine). In terms of science, much of my work was focused on space-based insect and disease monitoring and aerial surveying. In terms of business, my role was data.

Nov 2019 - May 2021

Senior Geospatial Analyst

Lafayette, Colorado, US

  • Most of my work with PLJV dealt with statistical modelling, remote sensing, and managing inventory and monitoring projects for grassland birds and waterfowl. Because I worked in a region that was almost exclusively.
  • Parametric modelling of migratory and breeding-season bird "occurrence"​, occupancy, and abundance using citizen science datasets (e.g., eBird, Breeding Bird Survey) and robust monitoring datasets (e.g., using distance.
  • Back-end development, spatial modelling, statistics, machine learning, and cartography with 'R'​/Python and C using Earth Engine, GDAL, GEOS, pandas, numpy, and scikit-learn, etc.
  • Some front-end work with JS
  • Landscape change modelling focusing on key anthropogenic drivers, including oil-and-gas development, wind energy development, groundwater extraction, and agricultural development.
  • Mentoring and code reviews for early career analysts, programmers, and interns
Nov 2014 - Nov 2019

Graduate Research Assistant

Laramie, WY, US

  • My focus at UW was fitting species distribution models to forecast range shifts and suitable climate conditions for three subspecies of big sagebrush. My research also explored the role of climate change on.
  • Regular sampling of sagebrush plant communities throughout Wyoming and Montana. Collected soil-cores for texture analysis in the lab, collected data on vegetation cover; identifying shrubs, forbs, and grasses to.
  • Fitting statistical and machine learning models associated with regression, likelihood analysis, and classification tasks. My research involved ensemble modeling with Generalized Linear Models (GLM), Generalized.
  • Building expert-opinion based demographic models for cheatgrass (Bromus tectorum) for use in spatial models of species abundance given site hydrology and soil factors influencing population growth.
  • Developed novel methods for pseudo-absence generation, downsampling, and related GIS tasks using the 'R' language.
Nov 2012 - Nov 2014

Wildlife Technician (Gis Specialist)

Boise, Idaho, US

  • Responsible for collecting and analysing satellite-derived remote sensing data for central Idaho and helped parameterize and build resource selection (regression) models and survivorship models for radio-telemetried.
  • Field surveys of vegetation and phenology plots: identifying forbs, shrubs, grasses, and seedlings to species. Collecting rumen samples and site vegetation to characterize ungulate nutrition in the lab.
  • Geospatial and statistical analysis of mule deer habitat, range, phenology, and survivorship, python-based software development, and geodatabase management using ArcGIS.
  • Platform testing and software development using virtualization on VirtualBox and VMWare.
  • Managing GPS collar data using R and ArcGIS. Automated data input tasks by writing custom tools for ArcToolbox in Python.
  • Designing Python scripts to automatically generate runtime data for the Geospatial Modeling Environment / Hawth's Tools to process large volumes of home range data (automated kernel density estimation). Observations.
Nov 2011 - Jan 2014

Research Associate I (Microarray)

Designed experiments to optimize production efficiency and accuracy, tested experimental reagents and target peptides, and LOTS of microarray imaging analysis for high throughput testing of monoclonal and polyclonal antibodies for folks doing cancer research. I gained a great appreciation for image segmentation work, pattern recognition, and workflow.

Nov 2011 - Sep 2012

Veg Crew Lead (Fire Effects Monitoring)

Us Forest Service / Sca

Led a team collecting long-term natural seedling regeneration data for sites affected by the Clear Creek Wildfire in the Salmon-Challis National Forest (Idaho). Surveyed plant community composition over 1500 acres using Modified Whittaker Plots and FIA plots. Responsible for teaching field sampling techniques, plant identification, and data entry protocols.

Apr 2011 - Nov 2011
3 education records

Kyle Taylor education

Master Of Science (Msc), Botany (Ecosystem Modeling)

University Of Wyoming

Bachelor Of Science (Bsc), Biology (Chemistry)

Eastern Michigan University

Biology

University Of Michigan
FAQ

Frequently asked questions about Kyle Taylor

Quick answers generated from the profile data available on this page.

What company does Kyle Taylor work for?

Kyle Taylor works for INTENT.

What is Kyle Taylor's role at INTENT?

Kyle Taylor is listed as Head of Data Science and AI at INTENT.

What is Kyle Taylor's email address?

AeroLeads has found 1 work email signal at @in10t.ag for Kyle Taylor at INTENT.

Where is Kyle Taylor based?

Kyle Taylor is based in Fort Collins, Colorado, United States while working with INTENT.

What companies has Kyle Taylor worked for?

Kyle Taylor has worked for Intent, U.S. Geological Survey (Usgs), U.S. Forest Service, Playa Lakes Joint Venture, and University Of Wyoming.

How can I contact Kyle Taylor?

You can use AeroLeads to view verified contact signals for Kyle Taylor at INTENT, including work email, phone, and LinkedIn data when available.

What schools did Kyle Taylor attend?

Kyle Taylor holds Master Of Science (Msc), Botany (Ecosystem Modeling) from University Of Wyoming.

What skills is Kyle Taylor known for?

Kyle Taylor is listed with skills including Statistics, Gis, Ecology, R, Lifesciences, Systems Biology, Wilderness First Responder, and Spss.

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