Cynthia Adinig is a systems architect, published researcher, federal health policy advisor, and author whose work spans artificial intelligence, complex chronic illness, evidence modernization, and research infrastructure. She is the founder of CYNAERA and creator of the patent-pending Bioadaptive Systems Therapeutics (BST)™ platform. She currently serves as a PCORI Merit Reviewer and collaborates with researchers including the Selin Lab at UMass Chan Medical School.

 

Cynthia has co-authored research with Harlan Krumholz, MD, Akiko Iwasaki, PhD, and David Putrino, PhD; contributed to Yale’s LISTEN Study; advised Amy Proal, PhD, and other investigators through the Mount Sinai Center for Post-COVID Care CoRE advisory board; and worked with Peter Rowe, MD of Johns Hopkins on national education and media efforts focused on post-viral and autonomic illness.

She authored a Milken Institute essay on AI and healthcare, testified before Congress (video), and spoke at the bipartisan announcement of the COVID-19 Long Haulers Act with Representatives Don Beyer and Jack Bergman (press release).

 

Her work has intersected with initiatives across HHS, NIH, AHRQ, SAMHSA, CDC, NASEM, FDA, and the Critical Path Institute. She was a panelist and breakout participant at the AHRQ and Senator Kaine Long COVID Summit in Richmond (summit recap), a speaker for the joint SAMHSA–CDC webinar series on Long COVID, and participated in National Academies work that helped refine federal understanding of Long COVID through expanded patient involvement.

 

Cynthia has also helped design and teach national training programs preparing people with chronic conditions to participate meaningfully in research and policy. She has appeared on panels alongside leading researchers including Nancy Klimas, MD, and has spoken to medical students at Johns Hopkins University about ME/CFS, Long COVID, and infection-associated chronic illness.

 

In 2024, Cynthia was invited to brief the White House Pandemic Preparedness Team on the lived realities of Long COVID and systemic barriers to care. In 2025, under the Biden administration, she was appointed to advise the U.S. Department of Health and Human Services through the HHS Secretary’s Advisory Committee on Long COVID.

 

Her federal health policy and technology work continued under the Trump administration. In 2026, Cynthia was selected by HHS to advise technology teams participating in the TOPx HHS Tech Sprint for AI and Invisible Illness, working across the Lyme disease, invisible illness, and cost-of-illness challenge areas. The role expands her federal work into AI-enabled health technology, U.S. Open Data, real-world evidence, and the development of patient-centered digital tools for complex chronic conditions.

 

Also in 2026, Cynthia contributed to National Academies discussions focused on modernizing systematic review standards through real-world data, patient registries, longitudinal symptom tracking, undercounted populations, and responsible use of artificial intelligence. Through CYNAERA, she develops modular AI and systems-intelligence platforms including the IACC Progression Continuum™, Primary Chronic Trigger (PCT)™, CRISPR Remission™, RAVYNS™, and US-CCUC™. These systems are designed to help governments, universities, researchers, and clinical teams identify hidden patterns, correct systematic undercounting, model infection-associated chronic conditions, and improve precision in research and clinical-trial design.

 

Her CRISPR Remission™ research, which uses AI-assisted modeling to identify potential remission pathways and therapeutic opportunities across complex chronic conditions, was selected for presentation at CRISPRMED26. Cynthia’s prevalence models and analytic frameworks are also used by nonprofit coalitions and congressional advocates in legislative briefings to demonstrate unmet need, funding gaps, and system-level risk.

She has trained academic, nonprofit, and independent researchers to apply AI in complex illness research and has advised developers building machine-learning-enabled chronic illness technologies. Her work also extends into industry, including advising pharmaceutical partners on formulation strategy, safety considerations, and opportunities for cross-condition therapeutic expansion.

 

Eve Research Project

In 2026, CYNAERA launched its inaugural real-world women’s health research initiative, the Eve Research Project, examining the intersection of autoimmune illness, menopause transition, environmental exposures, and symptom instability.

 

The project was a structured 30-day longitudinal tracking cohort during July and August. Participants used guided health journaling to document symptoms, environmental conditions, sleep, flare progression, recovery patterns, and other real-world variables. CYNAERA’s AI systems were then used to analyze longitudinal patterns and generate individualized reports designed to make otherwise fragmented health information easier to understand and discuss with healthcare providers.

 

The inaugural tracking phase has now been completed. The project generated real-world longitudinal data, participant reports, and direct user feedback that are being used to evaluate and refine CYNAERA’s approach to pattern recognition in autoimmune and menopause-associated illness. The work also provides a real-world testing environment for AI methods designed to identify persistent patterns, possible flare signals, environmental associations, and symptom relationships that may be difficult to detect during isolated clinical visits.

 

Rather than beginning with a traditional research question and asking patients to conform to it, Eve was designed around the information participants themselves wanted help understanding. The project is intended to demonstrate how structured patient-generated data and adaptive AI can support more responsive research while giving participants useful insight from the same data they contribute.

 

Lived Experience and Public Work

Cynthia’s work is informed by her experience surviving the first wave of the COVID-19 pandemic and subsequently developing severe Long COVID. That experience sharpened her commitment to reforming how complex chronic conditions are recognized, studied, and treated, while her research has increasingly expanded beyond Long COVID into infection-associated illness, autoimmune disease, women’s health, gene editing, clinical-trial design, and cross-sector systems modeling.

 

She also works on domestic violence prevention, institutional accountability, and patient safety, bringing a trauma-informed perspective to her research, policy work, and systems design. In 2026, she joined Lamar University domestic violence and social epidemiology faculty and campus police for a forum examining domestic violence and institutional accountability.

 

Cynthia has been featured in TIME, USA Today, Bloomberg, Fortune, Yahoo News, MIT Technology Review, and other national and international outlets.

 

Based in Northern Virginia, she brings more than a decade of experience in strategy, narrative design, research translation, and systems thinking to the development of intelligence infrastructure designed to reduce uncertainty, improve resilience, and support better decisions across healthcare, research, government, and other complex systems.