About GEoVerity
Your dedicated team of data analytics experts
GeoVerity helps organizations make intelligent, data-driven decisions by helping them find, process, and meaningfully interpret their data, often in light of differing linguistic and cultural contexts that change how intelligence is best used.
Cutting-edge data and analytics solutions
Insights conditioned by language and culture
Reliable predictive intelligence across populations
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Sign up to speak with one of our data strategists to explore your unique data challenges and map out a smart strategy.
Our Mission
We are dedicated to getting at the truth. In doing so, we:
- Match and leverage the latest research and statistical methods to your needs to best control uncertainty and bring you the clearest, most reliable results and insights currently possible.
- Provide you with answers to your research questions, not p-values and misleading assertions of “statistical significance”. See The American Statistician, Volume 73, Issue sup1.
- Provide sociolinguistically informed results that can positively impact your organization and, ideally, the lives of your clients, customers, users, and often, wider populations.
Our Executive Team
Jonathan Torres, Ph.D.
Executive Statistician
Jonathan is a recognized leader in theoretical and applied Bayesian statistics with contributions in both educational statistics and econometrics.
Kelly Li, MS, Ph.D.
Director of Geospatial
Analytics
With expertise in ArcGIS and geoanalytics in R and Python, Kelly is an invaluable resource to clients from both business and military sectors.
Mark Schultz, MBA, Ph.D.
Director of Business
Intelligence Analytics
Mark brings over 20 years of experience in data science and analytics having worked on over 100 successful BI efforts for international NGOs and respected companies including Microsoft and Disney.
Michelle King, MA, Ph.D.
Director of Survey Design
and Analytics
Over the course of 12 years, Michelle has implemented some of the most successful surveys for academic, business, and medical purposes for entities associated to Harvard Medical School, IBM, Tesla and many others.
