Welcome.

With 10+ years of chairside dental experience, I integrate imaging, data quality, explainable AI, and robotics workflow design to build DentalDNA and Molar Town—a patient-owned oral health data platform and clinical testbed for safer, more transparent dental care.

Current focus: ground-truth oral health datasets, computer vision for dental imaging, patient-centered AI explanations, and safety-first robotics workflows for clinical teams.

Hi!

I’m Diana, a University of Michigan-trained dentist with over a decade of clinical experience.

I geek out on technology and AI and bring that energy into dentistry to make care safer, more precise, and far less exhausting for everyone.

Dentistry lives at an awkward intersection: high-stakes decisions, differing clinical opinions, messy real-world data, insurance rules that that can be irrational, anxious patients, and the wonderfully unique personalities of real people.

My work lives in that gap.

In practice, I use advanced imaging, rigorous data, and creative design to spot problems early, make them easy to see, and treat patients with the same curiosity, rigor, and honesty I’d want for my own family.

I’m especially interested in training humanoid robots to support clinical teams.

I am documenting practical prototypes, research questions, clinical workflows, and dataset-design ideas for AI-native dentistry, with a focus on patient safety, explainability, and real-world clinical usefulness.

I want to use years of clinical intuition and empathy for patients to build safety-first software frameworks that protect people and improve treatment decisions.

I plan to build the Ground Truth dataset for oral health. Dentistry is full of edge cases that break current models. I want to properly and accurately document them.