I'm a founder who codes and a scientist who ships.
As CEO of GluCorp, I'm building AI systems that detect pregnancy complications before they become life-threatening. My work combines Stanford-trained bioinformatics expertise with production AI engineering—turning academic knowledge into tools that save mothers' lives.
I bridge three worlds: the rigor of computational biology, the execution of AI engineering, and the vision of entrepreneurship. This intersection is where GluCorp was born.
My path into technology began with a fascination for how data can unlock insights that transform industries. This curiosity led me to specialize in artificial intelligence and bioinformatics, where I discovered the incredible potential of combining machine learning with biological data analysis.
Through my work in bioinformatics, I've developed expertise in analyzing genomic data, building computational pipelines, and applying AI to solve complex biological problems. This unique combination of skills allows me to bridge the gap between raw genomic data and actionable healthcare insights.
The entrepreneurial journey with GluCorp emerged from a desire to take these innovations beyond research and into real-world applications. I founded GluCorp to create accessible, intelligent healthcare solutions that leverage the power of AI and bioinformatics to improve patient outcomes and democratize access to advanced healthcare technology.
"Thousands of mothers die every year from complications we can predict. Technology should serve humanity. At GluCorp, we're building the early warning system that gives mothers and doctors the time they need to act."
As Founder and CEO of GluCorp, I lead the mission to make maternal healthcare predictive, not reactive. Complications like preeclampsia and gestational diabetes kill thousands of mothers annually—yet they're often detectable weeks before they become critical.
GluCorp's AI platform analyzes clinical data, vital signs, and biomarkers to predict these risks 4-8 weeks earlier than traditional methods. We're not just building diagnostic tools—we're building a future where preventable maternal deaths become history.
My Stanford training in precision medicine and bioinformatics provides the scientific foundation. My AI engineering experience provides the execution capability. And my founder mindset drives the urgency: every day we delay, mothers die.
Leading GluCorp has taught me that building impactful technology requires more than just technical expertise. It demands empathy, clinical rigor, and partnerships with healthcare providers who trust us with their patients' lives. We're earning that trust by combining cutting-edge AI with a deep respect for the complexity of maternal health.
I'm passionate about the democratization of healthcare technology. Too often, the most advanced medical innovations remain confined to well-resourced institutions. My work focuses on making cutting-edge AI and bioinformatics tools accessible to healthcare providers and patients everywhere.
I believe in the power of interdisciplinary collaboration. The most exciting innovations happen at the intersection of different fields, and that's where I thrive—bringing together AI, biology, healthcare, and entrepreneurship to create solutions that wouldn't be possible in any single domain.
Beyond the technical work, I'm committed to mentorship and knowledge sharing. Technology evolves rapidly, and I believe in lifting others as we climb, sharing insights through blog posts, projects, and direct collaboration with the next generation of engineers and scientists.