Hi, I am Lambert.

I am a Senior AI/ML Scientist at a Fortune 500 healthcare company, leveraging generative AI and language models to transform healthcare delivery, making it more efficient and impactful. My work combines cutting-edge AI with practical applications to address complex challenges in the healthcare industry.

Previously, I was a Postdoctoral Researcher with the OncoRad Research Core at the University of Washington School of Medicine, where I focused on predictive biomarkers for clinical trials and treatment outcomes using multi-modal and longitudinal image modeling. I developed clinically impactful tools, including X-ray physics-informed neural networks and imaging biomarkers for breast cancer, significantly improving detection and risk quantification.

I hold a PhD in Bioengineering from the University of Hawaii, where my dissertation, “Reducing the Burden of Cancer with Artificial Intelligence,” introduced novel AI models for breast cancer detection. My academic background blends a Bachelor's in Biology and a Master's in Computer Science specializing in high-performance computing, giving me a unique perspective for tackling data-driven challenges in medicine.

With technical expertise in Python, Matlab, TensorFlow, and PyTorch, I excel at applying deep learning and generative AI to healthcare. My prior experience as a Machine Learning Research Intern at NASA's Anthropometry and Biomechanics Facility further honed my ability to translate AI innovations into real-world solutions, such as optimizing spacesuit design with 3D body scan visualizations.

Recognized for excellence with awards like the 2023 Outstanding Dissertation Award, I am also committed to mentorship and giving back to the scientific community through programs with Google and the National Institutes of Health.

Originally from Hawaii, I have a deep love for the outdoors. In my free time, you’ll find me hiking (the occasional trail run), enjoying the beach, and capturing photos of the incredible landscapes along the way.