FOUNDER & CEO, United States

Sarah brings 25 years of clinical operations across emergency medicine, primary care, clinical trials, and payer‑side innovation — the environments where AI‑influenced decisions collide with real‑world risk, documentation, and accountability. As a former Veteran’s Health Administration Service Line Director and UHG/Optum Labs Clinical Research Manager, she has led clinical decision support, safety governance, and AI‑adjacent research across federal, commercial, and integrated delivery systems. Her experience gives her a uniquely comprehensive view of the “human‑in‑the‑loop” decision moment that current AI systems fail to capture.

Sarah created CAVAL™ to solve the attribution gap she observed across every setting: the absence of a tamper‑evident record of when AI influences a regulated clinical decision. Her background positions CAVAL to meet the expectations of health systems seeking defensibility, payers requiring auditability, AI labs needing neutral governance infrastructure, and global regulators moving toward traceability of AI‑assisted decisions. She brings the clinical, operational, and regulatory insight required to define the attribution standard for the next generation of clinical AI.

Founding CTO, United States

John holds 315 U.S. and international patents and brings 35 years of enterprise systems engineering experience spanning distributed systems, security architecture, and interoperability in semiconductor manufacturing — a domain where integrity, auditability, and cross‑vendor standards are non‑negotiable. He has architected high‑assurance systems used in regulated, safety‑critical environments, including those requiring verifiable data lineage and tamper‑evident event trails.

At Kairoc, John leads CAVAL’s schema design, attribution architecture, and technical implementation, applying semiconductor‑grade rigor to healthcare’s emerging need for verifiable AI decision trails. His background enables CAVAL to meet the expectations of AI labs seeking defensibility, EHR vendors requiring interoperability, medical device manufacturers facing FDA PCCP obligations, and global regulators who need a neutral, tamper‑evident attribution standard that can operate across jurisdictions and vendors. And for CAVAL to capture the decision state before AI exposure disappears from the medical record.

Clinical AI Safety Auditor & Healthtech Advisor, Pakistan

Dr. Rameesha Chohan is a physician specializing in system-level adversarial auditing for medical AI systems. She stress-tests clinical LLMs and healthcare technology to uncover reasoning flaws and safety gaps, ensuring these tools are robust and resilient for real-world deployment. Beyond active testing, she advises on robust change management strategies to ensure long-term clinical success and compliance.

On the CAVAL Global Clinical Advisory Panel, Rameesha leads adversarial validation — stress-testing the schema, the attribution logic, and the governance framework against real-world failure modes before they reach deployment. Where most clinical advisors confirm that a framework works as designed, Rameesha's role is to find where it breaks: the edge cases, the reasoning gaps, and the scenarios where a confident AI system produces a clean, compliant record of something that never happened. Her work ensures that CAVAL's tamper-evident architecture is not just technically sound but clinically honest — built to withstand the adversarial conditions of real clinical environments, not just the cooperative conditions of a controlled pilot.

Clinical Validator, Resource-Constrained Settings, Global South

Buga Charles George Kenyi, MD is a medical intern rotating between Al Sabah Children's Hospital and Juba Teaching Hospital in Juba, South Sudan. He trained at the Latin American School of Medicine (ELAM) in Havana, Cuba, and is the first doctor from his village of Logwerle, Central Equatoria State.

His clinical work focuses on pediatric oncology in one of the world's most resource-constrained settings — no chemotherapy, no radiotherapy, no flow cytometry. He has published on late breast cancer presentation in South Sudan and pediatric leukemia in resource-limited settings, and presented research at ESMO Breast Cancer 2026 and the ASTCT+EBMT Basic and Translational Science Meeting.

His work is driven by a single conviction: the patients who are hardest to reach must not be the last to benefit.

Buga serves on the CAVAL Global Clinical Advisory Panel as Clinical Validator for Resource-Constrained Settings, Global South — bringing the frontline perspective of environments where clinical judgment operates entirely without AI infrastructure, EHR systems, or specialist backup.

Clinical Product Maturity & Real-WorId Variability, Romania

Emma is a physiotherapist in clinical practice since 2013 and the founder of the Clinical Maturity Lens, a framework for pressure-testing digital health products against real-world clinical behaviour. Her work centres on the part most products underestimate: what the clinical logic does when a real patient does not follow the plan.

The patient who pushes through pain, stops at the first discomfort, or tells a product what it wants to hear is not an edge case. To Emma, that is the population. She assesses where a digital care system stays safe and coherent under that variability and where it breaks — across product suitability, escalation logic, and the decision at the point of care: the moment a tool surfaces a recommendation and a clinician accepts it, modifies it, or overrides it.

For CAVAL, Emma brings the clinician's view of that decision moment, drawn from the same reasoning problems she solved at the bedside and now sees breaking digital health products at scale. Underneath all of it sits one rule: a product should be safe for the patient, and for the people building it, from day one.

Clinical Informatics & Healthcare Technology Adoption, United States

Michelle is a board-certified Nurse Informaticist with more than 14 years of healthcare experience. Beginning her career as a bedside nurse, she transitioned into clinical informatics and has since partnered with clinicians, operational leaders, and technology vendors to improve workflows, increase technology adoption, and support digital transformation initiatives.

Her career spans the full arc of healthcare technology implementation — from frontline clinical practice through enterprise-level planning, evaluation, contracting, and deployment of clinical communications, monitoring, and documentation systems. She has presented on healthcare technology adoption, workflow optimization, and the practical application of artificial intelligence in healthcare settings, and is an active member of a regional HIMSS AI Committee. Michelle holds RN-BC and CPHIMS certifications and received the Cameo of Caring Award in recognition of her commitment to patient care and professional excellence.

Michelle brings to the CAVAL Global Clinical Advisory Panel a perspective that combines frontline nursing, healthcare technology leadership, and a deep understanding of what it takes to make governance infrastructure work at the floor level.

Organizational Design & Health System Change Management, Canada

LoriLynn is an organizational change and operational readiness executive with 20+ years of experience leading large-scale transformation across health systems, enterprise technology, and complex regulated environments. Her background spans clinical informatics, portfolio governance, and delivery leadership, with deep expertise in the governance and change structures that determine whether technology adoption succeeds or stalls at the floor level. She holds an MBA, PMP, BRMP, and AI Governance certification.

CAVAL benefits from LoriLynn's strategic advice at the intersection of health system implementation and clinical AI governance, bringing cross-sector pattern recognition from public health systems and global enterprise to the challenge of building governance structures that actually get adopted. Her focus is the operational layer most governance frameworks overlook: the difference between a standard that is documented and a standard that is deployed. Governance infrastructure that doesn't reach the floor isn't governance — it's paperwork. LoriLynn ensures CAVAL is built for adoption from the beginning, not retrofitted for it after the fact.

Clinical Operations Lead, United States

Stephania brings a rare combination of frontline clinical experience and organizational performance expertise to her role as Clinical Operations Lead at Kairoc Systems. She holds a BSN in Nursing and a Master of Science in Organizational Performance and Workplace Learning.

Her career spans bedside nursing, clinical management across medicine and oncology services, bariatric program coordination, and large regional system-level performance improvement. This arc gives her a precise understanding of where governance frameworks succeed and where they stall: not in the documentation, but in the operational structures that determine whether standards actually reach the floor. She brings the same discipline to Kairoc that she has applied across healthcare and enterprise environments: building the execution layer that turns well-designed frameworks into deployable systems.

At Kairoc Systems, Stephania leads the clinical operations infrastructure that supports CAVAL's advisory panel coordination, compliance documentation, and organizational readiness — the execution layer that makes governance infrastructure deployable rather than aspirational.

IN ACTIVE ENGAGEMENT

CAVAL is building a global clinical advisory panel spanning primary care, specialty care, clinical AI governance, and clinical audit across the US and international markets.

IN ACTIVE ENGAGEMENT

CAVAL's Strategic Advisory Panel brings expertise in organizational design, change management, and health system implementation — the operational layer that makes governance infrastructure actually get adopted.