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Join us with Amanda and Romina at Central California Alliance for Health to chat about making the leap from academia to building production data science tools, building systems that matter, and how they won a prize for solving a super impactful business problem using Shiny and AI!
Featured in this episode
Amanda Perez
Data Scientist at Central California Alliance for Health
Amanda D. Perez, PhD is a data scientist at Central California Alliance for Health, building ML models, Shiny dashboards, and automation tools for a Medi-Cal managed care plan. She earned her PhD in Social Psychology from UC Berkeley and did her postdoc at UC Berkeley's School of Public Health with NIH-funded research in statistical modeling. An R user since 2013, her work bridges behavioral science and healthcare data.
Romina Mir
Applied ML Scientist and AI Architect at Central California Alliance for Health
Romina is a machine learning engineer and Ph.D. researcher in Biomedical Engineering with a sharp mathematical foundation (B.S. in Math with a focus in statistics) and a passion for building intelligent systems that matter. She thrives at the intersection of theory and application. Over the last few years, she’s navigated the worlds of healthcare tech and robotics—from leading predictive analytics and fraud detection at a pre-IPO SaaS company to developing reinforcement learning algorithms for adaptive, bio-inspired robotic hands.
Libby Heeren
Data Community Manager at Posit, PBC
I'm a data science educator and community builder who wants to help you cultivate a community of practice for yourself. I talk a lot about the benefits of making genuine human connections, the power of vulnerability, and why we all benefit when we show up as our whole selves. I'm also the host of the Data Humans podcast where my motto is: data science is not one thing.
Rachael Dempsey
Head of Customer Advocacy at Posit, PBC
I'm dedicated to strengthening our customer experience, elevating success stories, and building meaningful community programs. I love connecting people across the data science community to share what they're accomplishing and help others do the same. Outside of work, I enjoy running, snowboarding, playing guitar, and catching live music anywhere I go.