• Howard Nguyen

    PhD in Data Science / ML / Generative AI

  • Huntington Beach, CA, USA

    This is where I live

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Who I am

A visionary AI/ML leader and founder of Vital CKM, Inc., with 15+ years driving enterprise AI in healthcare. As CEO & Chief AI Officer, I pioneer ethical, scalable solutions like our Stacking Generative AI model, now powering AICardioHealth by Vital CKM, our flagship cardiovascular risk-prediction product, achieving 98% accuracy and 0.993 ROC AUC, validated on 9 diverse datasets (up to 400K records, including CDC and Framingham). I also currently advise as Chief AI Officer (CAIO) for ReGenX, a longevity-focused venture applying AI across a multi-pillar clinical care framework. Holding a Ph.D. in Data Sciences (2024) and having completed executive programs at Harvard Medical School in healthcare AI and digital transformation, I blend hands-on coding (Python/PyTorch/Azure) with strategic execution to transform data into life-saving insights, targeting the fast-growing cardiovascular-kidney-metabolic (CKM) AI market.

What I do

As CEO of Vital CKM, I lead the development of AI-powered tools revolutionizing prevention across the cardiovascular-kidney-metabolic (CKM) disease cluster, built on VCIE™ (the Vital Clinical Intelligence Engine) — early detection, personalized risk stratification, and B2B integrations for insurers, telehealth, hospitals, and clinics. My work focuses on ethical AI for chronic diseases (cardiovascular disease, type 2 diabetes, and chronic kidney disease), turning complex EHR data into actionable pathways that reduce hospitalizations and optimize claims. From prototyping (AICardioHealth by Vital CKM, at cardio.vitalckm.com) to scaling internationally — including new multi-condition platforms currently in development for Vietnam and Thailand — I bridge research and real-world impact, as published in IEEE (July 2025).
View my research publication
Download my published research paper (pdf)

How I do it

I combine traditional ML (RF/XGBoost), deep learning (CNN/GRU), and generative AI (GANs for training-time data balancing) with explainable AI (SHAP/LIME) for transparent, fair models — designed to align with HIPAA and FDA SaMD requirements, and outperforming baselines by 10–20% AUC. Through rigorous feature engineering, cross-validation on diverse datasets (e.g., Framingham’s 11,627 records), and collaboration with clinical advisors, I optimize for scalability (Azure/Snowflake) and ethical deployment, extending this same validated approach from cardiovascular risk to diabetes and chronic kidney disease prediction as part of Vital CKM’s broader CKM platform.

Learn more from my researches
Learn more from research on diabetes.

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AI/ML/DL Researches

81

Machine Learning

31

Deep Learning

105

Completed Projects

Machine Learning

Machine Learning is a subset of artificial intelligence that focuses on building systems capable of learning from and adapting to data without explicit programming. It involves algorithms that identify patterns, make decisions, and improve over time through experience, enabling predictions and insights from complex datasets.

Deep Learning

Deep Learning is a specialized branch of machine learning that utilizes neural networks with multiple layers (deep neural networks) to model complex patterns and representations in data. It excels in processing large volumes of unstructured data, such as images, audio, and text, to achieve high levels of accuracy in tasks like classification and prediction.

© Howard Nguyen, PhD in Data Science. Huntington Beach, CA