About Lab Me

Meet our team and read to learn how we managed to take a common 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

Ben Horne

Dr Ben Horne

Intermountain Partners, Standford 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’s recent genetics publications include the first report that chromosome 9p21 variants are not associated with myocardial infarction (only with coronary artery disease).

Also, an international consortium led by Dr. Horne published new pharmacogenetic warfarin dose refinement algorithms in 2012.

Konstantin Abreev

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.

Nina Paynter

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.

Yuriy Zhukov

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.”

About Lab Me - Founding Team

Dr Anthony Close about lab me

Dr Anthony Close

Founder

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

Victor Lixi Zhao

Victor Zhao

CoFounder - cto

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.

Logan Marita CFO

Logan Marita

Acting cfo/finance advisor

Strong background in FP&A, operational performance improvement, liquidity management, financial analysis and modeling, and project management.  Magna Cum Laude distinction from the University of Wisconsin – Whitewater in Finance.

Denny blackwhite

Denny Pratama

Lead ui/ux

Unparalleled work ethic and eye for user behavior and design. Incredibly fast learner and able to adapt quickly.  

selwyn cohen about lab me

Selwyn Cohen

full stack development

Front-end, back end, and database management.  Experienced in user behavior and able to engage users one on one to find customer-centric solutions.  

Gregg Lewis

Gregg Lewis

director

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.  

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