"I'm building the product infrastructure that drives our transformation to an agent-first operation. Forus is deploying AI that can tackle the challenges of new specialties, large health systems, and millions of patients."

"I work across engineering, clinical intelligence, and provider experience to drive the product decisions and automations that make prior authorization submissions faster and more accurate -- all to get patients medication sooner."

“I work directly with our life science partners to turn new product ideas into reality — scoping provider experiences and custom apps, then shipping them with our engineering and design teams."

"My work sits at the intersection of research and product, constantly experimenting and running evals to ship models that are state-of-the-art and reliable when a patient's medication is on the line."

“Navigating insurance authorizations involves a web of complexity. From clinical reasoning to evals, I develop the ML research and systems that handle this challenge.”

"We work with leading biopharma companies to reimagine how patients access innovative medicines. I build those partnerships and work across engineering, product, design, and ops to deliver on them."

"Everything at Forus is cross-functional. I work across product, strategy, and ops on patient access programs — the financial assistance, support, and education that helps patients afford and stay on their medication."

"The data science layer tells us what's actually working: from running the experiments behind every model launch to using millions of patient outcomes to answer questions no one in healthcare has had the data to answer before."

“Forus' RAG-based appeal generator is leading to more overturned denials. Everything I build is aimed at using AI and automation to knock down the barriers between patients and the medicine they need.”

"As a practicing physician, I know firsthand how arbitrary denials feel when you've made the right clinical call. At Forus I translate how physicians think into the logic our AI uses, from clinical scoring to denial prediction, so more of those calls end with patients getting their medication."