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Welcome to EricSayre.com. Eric C. Sayre, PhD is a statistician, data scientist, researcher, author and programmer currently living in Vancouver, BC. He began working / consulting professionally in the field of statistics in 1997, and since then has completed two graduate degrees in statistics while remaining active in the research community. He completed his PhD in the Department of Statistics and Actuarial Science at Simon Fraser University in 2009, and in the past few years, has also become interested in the exciting field of Machine Learning / Data Science / Artificial Intelligence.

Eric is experienced in a variety of programming languages, databases, statistical packages, ML/DS/AI environments, blockchain development environments, and other software, including: SAS (expert), R, Python (including ML/DS/AI specific packages such as Scikit-Learn, TensorFlow and Keras), Solidity, React, Rust, Parscale, C++, Octave, Microsoft SQL, VB Script, Active Server Pages (ASP), HTML, Microsoft Office (Word, Excel, PowerPoint, Access and Outlook), EndNote, to name but a few.

Finally, Eric is a well-published researcher, with over 300 publications since 1997. These are a mixture of first-authorships and coauthorships on articles published in peer-reviewed medical journals, abstracts presented at scientific meetings, research reports, invited talks and his own two graduate theses. Click the tab on the left for a complete list of publications and links to the full text of his theses.

Books

(Click the tabs on the left for more information, and links to the BIGGER SAMPLE PDFs or to purchase as Kindle eBooks or paperbacks.)

The Gradual Countdown: Quit Smoking the Easy Way! The Gradual Countdown is a highly structured, methodical, easy approach to quitting (baby steps), reducing the number and portions, and how you smoke.

The Real Junk Food Diet Book v2.0 Built on psychology, metabolism and our love of junk food. Mix entire Overeating Days into your diet days, and the pounds will drop off.

Software

(Click the tab on the left for more information, an abstract, links to the complete PhD thesis and user's guide, and links to download the FULL FREE SOFTWARE.)

Variable-Weighted Ultrametric Optimization for Mixed-Type Data (VWUO-MD) In Eric's PhD research, he developed a new method of unsupervised learning (hypothesis generation) designed specifically for mixed-type data (continuous, ordinal, nominal, binary symmetric and binary asymmetric), along with data mining software to perform the analyses.

Crowdfunding

(Click the tab on the left for more information, scientific references, and a link to the full Hopeful MS Girl website.)

Crowdfunding - Hematopoietic Stem Cell Transplantation (HSCT) for Rubiana Malla (Hopeful MS Girl) We have launched a crowdfunding website for Rubiana Malla aka Hopeful MS Girl to try to get her a scientifically proven, life-saving operation. Please read her story as it will inspire great hope.

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