Founder & CEO, GluCorp | AI Engineer | Bioinformatician
Building AI systems that save mothers' lives.
Stanford-trained in precision medicine and bioinformatics. Combining AI engineering with computational biology to detect pregnancy complications early—giving mothers and doctors the time they need to act.
Advanced training from Stanford University in computational biology and data-driven healthcare
These certifications provide the bioinformatics foundation that powers GluCorp's AI-driven maternal health platform
AI-powered maternal health platform for early detection of pregnancy complications
Every year, thousands of mothers die from preventable pregnancy complications like preeclampsia and gestational diabetes.
These conditions often go undetected until it's too late. Traditional monitoring methods miss early warning signs, leaving mothers and healthcare providers without the time they need to intervene.
GluCorp uses AI and bioinformatics to detect risks earlier—analyzing clinical data, vital signs, and biomarkers to predict complications before they become critical.
Our platform gives doctors and mothers the early warning system they need, transforming maternal healthcare from reactive to predictive.
I lead GluCorp's mission to make maternal healthcare predictive, not reactive. Combining my Stanford training in precision medicine with AI engineering expertise, I'm building the technical foundation and clinical partnerships to bring this vision to life.