Data Science · AI · Machine Learning
Callie
Federer.
I work at the intersection of data, AI, and real-world systems. Here I share what I'm learning, building, and thinking about.
Writing
About
Hi, I'm Callie.
I've always loved the space where technology meets real-world decision making. Today I lead AI and data science teams, building products that help people work smarter, make better decisions, and solve problems that aren't obvious at first glance.
I've worked on everything from AI fraud detection and pricing engines to generative AI assistants and an AI-powered calculus tutor that led to Pearson's first NeurIPS paper. What keeps me interested isn't just the latest model, although that is usually fun, but it's figuring out where AI actually belongs and building products that people trust.
I earned a B.S. in Computer Science, a Ph.D. in Computational Bioscience from the University of Colorado Anschutz Medical Campus, and an Executive MBA from Washington University in St. Louis. Along the way I've been fortunate to lead incredible teams, speak at industry conferences, and work across healthcare, logistics, education, and SaaS.
I also have a reputation for being the 'AI-expert who hates AI'. That's not true, I love AI enough to use it to make this website. I'm amazed at the work that can be done. I also believe in being clear on limitations and the value of human intuition. Plus, I think it's really important to touch grass and get away from technology.
Focus Areas
- AI/ML Strategy & Governance
- GenAI Enablement
- Applied ML: LLMs, RAG, NLP, Computer Vision
- MLOps & Production Systems
- Team Building