Kimberly Deas, PhD, is currently a Postdoctoral Fellow in Environment, Equity, and Data Analytics, a Principal Informaticist/Senior Clinical Data Scientist, and Data Educator specializing in Healthcare Analytics, Health Disparities, and Computational Toxicology.

Dr. Deas is a dynamic and engaging speaker specializing in healthcare informatics, health disparities, and the application of AI/ML in healthcare. With over 20 years of expertise and experience leading Analytics training organizations, she inspires audiences with practical insights on health equity and data-driven solutions through data a
Dr. Deas is a dynamic and engaging speaker specializing in healthcare informatics, health disparities, and the application of AI/ML in healthcare. With over 20 years of expertise and experience leading Analytics training organizations, she inspires audiences with practical insights on health equity and data-driven solutions through data analytics. As a Data Educator, Dr. Deas empowers diverse professionals by integrating data science education into her engaging talks and actionable strategies.

I teach data science and analytics through coding webinars, 1:1 lessons, college courses, and corporate training programs for businesses ready to strengthen their teams. My classes cover data analytics tools such as R, Python, SQL, and Tableau, breaking down complex data science topics into skills anyone can master. With a background in p
I teach data science and analytics through coding webinars, 1:1 lessons, college courses, and corporate training programs for businesses ready to strengthen their teams. My classes cover data analytics tools such as R, Python, SQL, and Tableau, breaking down complex data science topics into skills anyone can master. With a background in pharma, healthcare informatics, and health disparities research, I design training that is both challenging and deeply relevant. Whether working with students or professionals, I focus on real-world projects that build confidence and expertise in data science education. Watching learners transform into skilled, agile data professionals is the best part of what I do.

"The Health, The Environment, and The Data" explores how artificial intelligence and machine learning can advance human health across diverse fields, from environmental toxicology and cheminformatics to health data science and health disparities research. Each issue will examine how these computational approaches are driving innovation i
"The Health, The Environment, and The Data" explores how artificial intelligence and machine learning can advance human health across diverse fields, from environmental toxicology and cheminformatics to health data science and health disparities research. Each issue will examine how these computational approaches are driving innovation in environmental risk assessment, uncovering health disparities across racial, ethnic, and socioeconomic lines, and revealing environmental justice issues in vulnerable communities.
Please contact us if you cannot find an answer to your question.
I specialize in healthcare informatics, health disparities, AI/ML in healthcare, and data-driven solutions for diabetes, cancer, and infectious diseases. I also provide guidance on data visualization, workflow optimization, and creating AI/ML algorithms primarily using tools like Python, SQL, Tableau, and R.
My services are ideal for healthcare and big Pharma organizations, data-driven companies, and professionals seeking expertise in informatics, data science, and health analytics. I also work with individuals and teams needing mentoring or support for specific projects.
Yes, every project is tailored to meet the unique needs of my clients. I work closely with organizations and individuals to identify goals and deliver actionable, data-driven solutions that address their specific challenges.
I use a collaborative and transparent approach, starting with a clear understanding of your needs and objectives. I then develop a strategic plan, leveraging the latest tools and techniques to deliver impactful results efficiently.
I primarily focus on the healthcare and pharmaceutical industries, with expertise in healthcare informatics, and health disparities / health equity. However, my data science and area of subject matter expertise, extends to various sectors, making my services versatile and impactful.
We use cookies to analyze website traffic and optimize your website experience. By accepting our use of cookies, your data will be aggregated with all other user data.