Alexis Dunn

About Alexis Dunn

Since founding ARI Health in 2022, Alexis has led the company’s mission to expand access to high‑quality maternal care through advanced AI, augmented reality, and clinical bioinformatics. A hands‑on operator and researcher, Alexis pairs deep technical training with a service‑first mindset to help patients, providers, and health systems navigate pregnancy care with clarity and confidence. Alexis is known for meeting underserved and rural communities where they are, building tools that fit real‑world workflows, and celebrating every improvement in patient outcomes along the way. When it comes to tailoring solutions, Alexis and the ARI Health team deliver customized care pathways and data‑driven tools designed for OB/GYN and maternal‑fetal medicine. Offerings include Remote Pregnancy Monitoring, Clinical Decision Support, Immunometabolism‑informed Risk Stratification, Privacy‑Preserving Data Management, Telemedicine Operations Support, Interoperability & EHR Integration, Research Partnerships, and Trial Readiness. Health systems benefit from end‑to‑end support: product validation, deployment playbooks, clinician training, and post‑launch analytics that strengthen outcomes before and after major initiatives or funding events. Alexis earned a B.S. in Biological Sciences from Washington State University Vancouver, with minors in Molecular Biology and Data Science—coursework rooted in biochemistry, cellular mechanisms, bioinformatics, machine learning, advanced mathematics, health communication, and health policy. Recognition includes two WSU Sinclair Scholar awards (’22/’23 and ’23/’24). Research in obstetrics and endocrine disease informed ARI Health’s focus on immunometabolism for early prediction of complications such as preeclampsia and gestational diabetes. Ongoing goals include formal medical training focused on endocrinology and maternal‑fetal medicine, bringing entrepreneurial and technical expertise into hospital systems to improve patient‑centered care delivery. Career Milestones • Founder & CEO, ARI Health. • Eight years of research across molecular biology and genetics with a focus on digital health, bioinformatics, and real‑time complication analysis for pregnancy. • Led the Maternal Instincts Campaign, piloting IoT‑enabled, real‑time monitoring across the stages of pregnancy. • Healthcare operations strategist with a patient‑first approach; experienced in leading medical teams and implementing technology in clinical settings. • Active in community service and philanthropy; 10+ years of teaching and mentorship.

Experience

1. Nvidia Inception Startup Member

   NVIDIA

   Nov 2024 — Present · Hillsboro, OR, US

   Active participant in the NVIDIA Inception Program—an initiative designed to nurture startups revolutionizing industries through advancements in AI and data science. This immersive experience provides a vital link between ARI Health\'s innovative healthcare solutions and NVIDIA\'s technologies, fostering growth and accelerating our mission to improve patient outcomes.Responsibilities and Learning Experiences:• Access to Advanced Technologies: Leveraging NVIDIA\'s AI platforms, including the NVIDIA AI Bench and PyTorch frameworks, to develop and enhance ARI Health\'s AI and blockchain-based patient data management systems. • Technical Skill Enhancement: Expanding expertise in artificial intelligence, machine learning, and high-performance computing by utilizing NVIDIA\'s resources and developer tools. This includes integrating NVIDIA\'s Morpheus cybersecurity AI SDK to enhance the security features of our healthcare applications.• Collaborative Innovation: Engaging with NVIDIA experts and the broader AI startup community to share knowledge, best practices, and emerging trends. • Go-to-Market Support: Receiving assistance with marketing strategies, public relations, and gaining exposure to potential investors through NVIDIA\'s extensive network. • Participation in Specialized Programs: Involvement in NVIDIA\'s initiatives such as the AI Blueprint for vulnerability analysis and generative AI applications.

Education

• Stanford University School of Medicine

  Data Science in Precision Medicine and Cloud Computing, Fundamentals of Al/ML in Precision Medicine

  2024

• Washington State University

  Bachelor's degree

  2019 — 2023