About Dr. Leslie Phillips

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Dr. Leslie Phillips is a doctoral-level epidemiologist who brings deep experience

as a research leader.  Dr. Phillips is experienced with Lean Startup, best practices for survey research, data analysis & interpretation, and helping clients design robust research. In the age of large language models (like ChatGPT), she is leveraging the power of AI for research through prompt engineering and by augmenting human ingenuity with the speed and volume provided by AI. 

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She founded Data-Driven LLC to offer epidemiologic consulting with an emphasis on helping clients understand, collect, and use real-world data. She is passionate about using epidemiologic methods to deconstruct problems, test solutions, and interpret findings. Dr. Phillips is committed to learning the state of the science and developing studies where insufficient evidence exists. Adept at communicating with a wide range of audiences, from low-wage workers or C-level executives, Dr. Phillips is excited to engage your team at all levels.

Data-Driven LLC specializes in helping clients. Whether that is assisting clients in leveraging the best of human and human-guided AI research or guiding the transition from one data platform to another, Data-Driven is agile and empirical. We deliver actionable recommendations for your business.

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Dr. Phillips and Data-Driven LLC find the simplest solutions to even the most complex problems. Sometimes the outcome is as simple as a professional, unbiased referral to services and technology that meet your needs.    

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Data-Driven focuses on synthesizing and communicating data related to health or other outcomes where pattern detection, quantification, and communication are focal part to a successful strategy. Specific to the SARS-CoV-2 virus, Dr. Phillips stays abreast of the current science of transmission and risk mitigation and is adept at communicating these findings to workers and clients.

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If you need guidance in the following areas, we have experience in: AI-assisted research, outbreak response, prompt engineering, synthesizing evidence, piloting/testing solutions, designing studies and evaluating studies for common biases, quantitative and qualitative research, primary data collection, secondary data analyses, data transitions, using publicly-available data (e.g., Census) to contextualize decisions, as well as manuscript and report writing / editing.