Cleveland, Ohio, United States
As a kid, I was always fascinated by numbers. Growing up with a father who’s been a statistician for over 60 years, it was hard not to be. I remember watching him work with numbers, always intrigued by how data could reveal hidden insights. That curiosity never left me. It followed me through school and into my career in data science. For years, I focused on using data to drive business and performance metrics. But over time, I realized I wanted to do more than just optimize systems and improve efficiencies. I wanted to use data to make a tangible, positive impact on people’s lives. That realization led me to pivot into the medical space, where I’m leveraging my background in data science and machine learning to work on something truly meaningful. Today, I’m developing segMedix, an AI-powered tool designed to assist radiologists and patients in the early detection and diagnosis of prostate cancer. It feels incredible to finally merge my passion for data with a mission to help people. I look forward to what’s next and the difference we can make in healthcare.
SegMedix is an end-to-end AI solution designed to improve efficiency, accuracy, and equity across the prostate cancer diagnosis workflow. Seamlessly integrating into radiology practices, it automates critical yet time-consuming tasks such as prostate segmentation, lesion detection, and structured report generation. This allows radiologists to focus on what matters most: providing timely and accurate diagnoses. By enhancing diagnostic consistency, reducing cognitive and manual workload, and standardizing care across institutions and imaging vendors, segMedix is helping to redefine the standard of care in prostate cancer imaging.