Data scientist, award-winning data visualization engineer, and creative technologist. I'm passionate about using data to tell compelling stories and drive decision-making.
I live and work in coastal Delaware with my family and the love of my life, my dog Potato. I'm currently pursuing my master's degree in data science at the University of Colorado Boulder while working on cutting-edge data storytelling and visualization engineering projects in the healthcare, veterinary, and biotechnology sectors.
My passion lies in creating beautiful data visualizations, building interactive applications, and conducting meaningful research that drives real-world impact.
When I'm not coding or analyzing data, I enjoy exploring the beaches of southern Delaware and Maryland's Eastern Shore, reading, writing, and spending time with my family and friends. I'm a long-time vegan, and I've always been passionate about animal welfare. To further the aim of advocating for breed-neutral legislation to protect all dogs, I created the U.S. Breed-Specific Legislation Database and I volunteer with the Shelter Animals Count National Database Project.
Master of Science in Data Science degree in progress at the University of Colorado Boulder.
I'm studying data ethics, the societal impacts of artificial intelligence, and information design for social good.
As an independent data visualization and engineering consultant, I create compelling visual stories from complex datasets using modern tools and techniques. I'm particularly interested in using data visualization to tell stories that are informative, engaging, and inspire the reader to take action. I drive business value for my clients by helping them understand their data and make informed decisions. I don't shy away from tackling challenging projects and enjoy collaborating with cross-functional teams to deliver impactful solutions.
I'm building interactive web applications and data tools that solve real-world problems. Currently, I am focused on the U.S. Breed-Specific Legislation (BSL) project, which aims to provide data-driven insights and resources for understanding the impact of breed-specific laws on dog populations and public safety.
Academic contributions and research work in data science, pharmacy, and public health.
Journal of the American Pharmacists Association, 2021
Study of rapid COVID-19 testing implementation across 13 Idaho community pharmacies, demonstrating effective expansion of public health testing capacity in rural and underserved areas.
Medical Care Research and Review, 2019
Examination of how 40 North Carolina community pharmacies implemented Medicaid population health management interventions, comparing high- and low-performing pharmacy strategies.
Biology of Blood and Marrow Transplantation, 2012
Development and evaluation of a layered learning practice model in hematopoietic stem cell transplant care, improving patient outcomes and pharmacy education through team-based care.
Exploring advanced machine learning techniques for predictive analytics in complex datasets.
Advanced Statistics, Deep Learning, Research Methods, and Applied Data Science.
A showcase of my data visualization projects, web applications, and interactive tools.
Comprehensive searchable database tracking breed-specific legislation across the United States, featuring interactive maps and detailed policy analysis for dog owners and advocates.
Interactive Streamlit application for exploring dog breed characteristics, using machine learning to analyze breed data and provide insights for potential pet owners.
Interactive beeswarm plot visualization analyzing 2023 wildfire patterns in Canada using TypeScript and D3.js. Exercise from Nael Shiab's "Code Like a Journalist" course.
Thoughts, tutorials, and insights on data science, technology, and research.
A comprehensive guide to creating compelling visualizations that tell meaningful stories with your data.
Read more →Best practices for deploying and maintaining machine learning models in real-world applications.
Read more →Exploring emerging trends and technologies that are shaping the future of data science and analytics.
Read more →Podcast appearances, conference talks, and panel discussions on data science and technology.
February 22, 2024 - "How Data Capabilities & Skills Help Scale a Startup"
Season 2, Episode 47
Building effective data visualization tools
Keynote: "The Future of Interactive Data Visualization"
Panel: "Ethics in Machine Learning Applications"
Interested in collaboration, speaking opportunities, or just want to chat about data science? I'd love to hear from you.