About Lab Me - Meet Our Team & Learn About Our Journey

About Lab Me

Meet our team and read to learn how we managed to take a common and complex problem and turn it into a simple solution.

Our story

At Lab Me Analytics, we believe there is a better way to understand blood testing. A more valuable, less invasive way – where patients are in the know rather than in the red. We’re obsessively passionate about it, and our mission is to help people achieve it.

We focus on blood testing data reports through our artificial intelligence and machine learning capability. It’s one of the least understood and least transparent aspects of modern medicine, and we see that as a tremendous opportunity.

We will continue to explore how to better understand, collect and structure healthcare big data. We are on a mission to improve research and development for healthcare through – predictive, preventative testing.

Learn why this is critical by clicking here.

Our vision is to improve our clients health outcomes while lowering nationwide healthcare costs by preventing, predicting and reducing lifestyle based disease through the use of blood biomarker data and machine learning.

Our mission is to detect potential disease, reduce early death, improve patient outcomes, and supplement research using artificial intelligence paired with web-based and mobile technologies. With advancements in technology, remote outreach becomes a reality.

Lab Me - Advisory Panel

Dr. Ben Horne

Intermountain Healthcare, Stanford University

Dr. Horne has been with Intermountain since 1996 and also holds an appointment as a Clinical Associate Professor (Affiliated) in the Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine (Stanford, CA).

Dr. Horne was trained at the University of Utah and is a fellow of the American Heart Association and a fellow of the American College of Cardiology. His research focuses on population health and precision medicine from a variety of perspectives.

Dr. Horne has published extensively regarding the genetics of heart diseases, the predictive ability of clinical laboratory tests for health outcomes, and the creation and implementation of clinical decision tools for personalizing medical care and improving the health of people with no history of disease and those who carry chronic disease diagnoses

Dr. Konstantin Arbeev

Duke University, Max Planck Institute

Ph.D. degree in Mathematics and Physics (specialization in Theoretical Foundations of Mathematical Modeling, Numerical Methods, and Programming).

His research interests encompass three interrelated disciplines: bio-demography, biostatistics, and genetic epidemiology which include such topics as bio-demography of aging; genetic bio-demography; biostatistical and bio-demographic models of aging, mortality, and longevity; joint models for longitudinal and time-to-event data; and genetic and non-genetic determinants of aging, longevity, and health-span.

Dr. Arbeev authored and co-authored more than 100 peer-reviewed publications in these areas.

Dr. Nina Paynter

ex-Harvard Medical School, Johns Hopkins

Biostatistics & Epidemiologist from Johns Hopkins, previous Brigham and Women’s Hospital Lecturer on Medicine, & ex-Harvard Medical School.

Dr. Paynter’s main research interests are the interrelationship of the major cardiovascular risk factors (including type 2 diabetes, blood pressure, lipids, inflammation, body mass index, exercise, and diet) and the effects of genetic and metabolic factors on these interrelationships.

Her focus has been primarily on cardiovascular risk prediction and has also included the development and evaluation of risk prediction methods.

She also serves as the Associate Director of the Data Coordinating Center for the Cardiovascular Inflammation Reduction Trial.

Dr. Yuriy Zhukov

Ex-Mayo Clinic, Cardio-Thoracic Surgeon

Dr. Zhukov is an MD specializing in Cardiothoracic surgery, starting his career at Mayo Clinic – he now resides on the east coast of the USA.

Dr. Zhukov has a Cardiothoracic Surgeon Fellowship and is a part of the AOA Honors Society

“Lab Me is a tool that can add value to both patient and doctor alike. Whether it is tracking the effectiveness of a medication, a rehabilitation program, or recovery from treatment – it speeds up time and creates a decision process that is data driven.”

The Right Team With A Unified Vision

Molecular genetics and analytical chemistry from Purdue. MIT Sloan School of Management Artificial Intelligence & Business Strategy. 14 Years of private practice owner/operator.

ex-Amazon age 25, recruited by Oracle at 26. Victor has a Master of Science (MSc) focused on Computational Science and Engineering from Georgia Institute of Technology.

Strong background in healthcare operations and staff management. In addition to supervising and leading a team at Wells Fargo, Teddy has owned and operated real estate management companies and is a super Mom of four.

Unparalleled work ethic and eye for user behavior and design. Incredibly fast learner and able to adapt quickly. Creates stunning User Interfaces in the blink of an eye.

Computer Science Engineer, a meticulous front-end developer with a passion for responsive designs and a firm believer in a mobile-first approach. Always keeping up to date in best practices and the latest tech trends to provide the best UX possible.

ex-Gartner head of sales APAC. With prior experience in technology consulting, entrepreneurship, sales, and marketing, Gregg is able to bring unique value propositions and creatively remove roadblocks.

Constance is responsible for reducing support tickets from reactive to proactive by 95% within 1 month of joining Lab Me. Our customers love her, so do we!

Self-taught Frontend Developer with experience in WordPress, React, and Salesforce. Looking always to improve as a professional and a teammate on every project. Passionate about Open Source, Linux, and Old literature.

Rodrigo is a master of human behavior and psychology. His vision of repeatable & scalable hiring has gifted Lab Me with an amazing team.

A diplomatic listener and careful planner – Naomi is patient, logical, and perceptive. Oh, and our customers love her!

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