Leadership Team

Chief Scientific Strategy Officer, Managing Director and Co-Founder

Michael Liebman, PhD

Chief Technology Officer

Chief Scientific Strategy Officer, Managing Director and Co-Founder

ROBIN McENTIRE, MSE

Director, Commercial Services

Chief Scientific Strategy Officer, Managing Director and Co-Founder

Director, Data Science & Machine Learning Engineer

ANGELA ARHONTES, MHA

Director, Data Science & Machine Learning Engineer

Chief Scientific Strategy Officer, Managing Director and Co-Founder

Director, Data Science & Machine Learning Engineer

SASHA RIEDERS, MS

Collaborators

Morehouse School of Medicine

The Wayne State University School of Medicine

Morehouse School of Medicine

Children's National Hospital

The Wayne State University School of Medicine

Morehouse School of Medicine

Nemours Children's Hospital

The Wayne State University School of Medicine

The University of California, San Diego School of Medicine

The Global Alliance to Prevent Prematurity and Stillbirth, an initiative of Seattle Children's (GAPPS)

Penn State Health Milton S. Hershey Medical Center

The Global Alliance to Prevent Prematurity and Stillbirth, an initiative of Seattle Children's (GAPPS)

The National Research Council (Italian: Consiglio Nazionale delle Ricerche, CNR)

The Global Alliance to Prevent Prematurity and Stillbirth, an initiative of Seattle Children's (GAPPS)

The National Research Council (Italian: Consiglio Nazionale delle Ricerche, CNR)

Shanghai Medical College of Fudan University

The University of Sydney

Shanghai Medical College of Fudan University

Monash University

Shanghai Medical College of Fudan University

The Norwegian Institute of Public Health

Shanghai Medical College of Fudan University

The Norwegian Institute of Public Health

The Journey

Their collective journey extends decades of impact from: working on HER2/neu test for breast cancer, the inception of Bioinformatics, creation of bioinformatics business units into pharma, development of OWL semantic web languages, moving molecular modeling from academics to commercial opportunities, adoption of computer graphics in drug design, forefront introduction of NLP technologies for practical applications, adoption of semantic technologies (NLP and other), statin wars, industry's shift from blockbuster's in metabolic syndrome to targeted personalized medicine, digital health technologies, Affordable Care Act, concept of moving EHRs to PHRs extending office visit to patient ecosystem, commoditization of healthcare data, oncologic value based care-era......to current synthetic clinical trials and RWE to support label extensions...Along with the raw experiences of being patients in the system. These elements help inform and sculpt the unique and un-paralled approach that IPQ offers.

We came together, united by focusing on problem discovery before solution validation. Through our complementary skill sets spanning scientific, technical and commercial domains within more than 20+ diseases and conditions, we drive results going beyond addressing 'unmet clinical needs' to identify and address 'unstated, unmet clinical needs.' This requires us working closely with clinicians, patients and pharma/diagnostic groups, nationally and internationally, approaching the problem as the deep immersion into specific diseases and conditions combined with a careful abstraction to develop analytic methods and models that are disease-agnostic.

IPQ’s multi-disciplinary, leadership team, represents more than 100 years of experience in academia and industry (pharma, diagnostics, healthcare, and technology in both large corporations and startups) spanning companies such as: Abbott, Wyeth, GSK, Merck, UPenn Cancer Center, Drexel University College of Medicine, First Hospital of Wenzhou Medical University (China), University California Irvine Medical Center, American College of Healthcare Executives, Phoenix Institute of Herbal Medicine & Acupuncture, to software and data vendors such as: Data2Discovery, Integra Connect, and Verana Health.

Advancing explainable insights since 2011

Digital Health Modeling & Analytics

Established in 2011, IPQ Analytics has been a leader in the development and application of novel solutions to healthcare and the life sciences for decades. As a digital healthcare modeling and analytics company, IPQ converts data into knowledge to extract insights from the complexities that exist within real-world healthcare. By applying proprietary Next Generation Phenotyping (NGP), IPQ enables customers with a deep understanding of the patient's clinical journey to discover new insights via private and public data. Through collaborative partnerships, novel approaches, and advanced technologies, IPQ Analytics provides the information needed for critical decision making in healthcare and life sciences.

Leadership Team

Chief Scientific Strategy Officer, Managing Director and Co-Founder

Chief Scientific Strategy Officer, Managing Director and Co-Founder

Chief Scientific Strategy Officer, Managing Director and Co-Founder

Chief Technology Officer

Chief Scientific Strategy Officer, Managing Director and Co-Founder

Chief Scientific Strategy Officer, Managing Director and Co-Founder

Director, Commercial Services

Chief Scientific Strategy Officer, Managing Director and Co-Founder

Director, Data Science & Machine Learning Engineer

Director, Data Science & Machine Learning Engineer

Chief Scientific Strategy Officer, Managing Director and Co-Founder

Director, Data Science & Machine Learning Engineer

Collaborators

Morehouse School of Medicine

The Wayne State University School of Medicine

Morehouse School of Medicine

Children's National Hospital

The Wayne State University School of Medicine

Morehouse School of Medicine

Nemours Children's Hospital

The Wayne State University School of Medicine

The Wayne State University School of Medicine

The Wayne State University School of Medicine

The Wayne State University School of Medicine

The Wayne State University School of Medicine

The University of California, San Diego School of Medicine

The Global Alliance to Prevent Prematurity and Stillbirth, an initiative of Seattle Children's (GAPPS)

The Global Alliance to Prevent Prematurity and Stillbirth, an initiative of Seattle Children's (GAPPS)

The Global Alliance to Prevent Prematurity and Stillbirth, an initiative of Seattle Children's (GAPPS)

The Global Alliance to Prevent Prematurity and Stillbirth, an initiative of Seattle Children's (GAPPS)

The Global Alliance to Prevent Prematurity and Stillbirth, an initiative of Seattle Children's (GAPPS)

Penn State Health Milton S. Hershey Medical Center

The Global Alliance to Prevent Prematurity and Stillbirth, an initiative of Seattle Children's (GAPPS)

The National Research Council (Italian: Consiglio Nazionale delle Ricerche, CNR)

The National Research Council (Italian: Consiglio Nazionale delle Ricerche, CNR)

The Global Alliance to Prevent Prematurity and Stillbirth, an initiative of Seattle Children's (GAPPS)

The National Research Council (Italian: Consiglio Nazionale delle Ricerche, CNR)

Shanghai Medical College of Fudan University

Shanghai Medical College of Fudan University

Shanghai Medical College of Fudan University

The University of Sydney

Shanghai Medical College of Fudan University

Shanghai Medical College of Fudan University

Monash University

Shanghai Medical College of Fudan University

The Norwegian Institute of Public Health

The Norwegian Institute of Public Health

Shanghai Medical College of Fudan University

The Norwegian Institute of Public Health

The Journey

At IPQ: We work by redefining the problem, 'Seeing Differently' then inventing new models and tools to 'solve the problem.' we believe, 'when you can see, you can solve'

Advancing explainable insights since 2011

Digital Health Modeling & Analytics

Accelerating Data Direction

Questions Quantified

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