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Hello and welcome!

Who am I?

I’m Marlin Figgins, a researcher and scientist developing scalable, interpretable models across artificial intelligence, natural language processing, and computational biology. My work focuses on building robust data and evaluation infrastructure, designing end-to-end modeling pipelines, and developing methods that integrate domain structure with quantitative techniques. I’m driven by the challenge of making complex systems more transparent and predictable, combining statistical modeling and AI with software engineering principles to create tools and products that are innovative, rigorous, and impactful.

What do I do?

I believe scientists should transcend traditional research boundaries to drive meaningful change. That belief has guided me in leading interdisciplinary projects and collaborating closely with software engineers to develop tools like evofr and forecasts-ncov. These tools make complex models actionable, advancing our understanding of viral evolution and show how interdiscplinary collaboration can lead to creative and impactful solutions.

Current goals

As I transition to industry– whether as a research scientist in (bio)tech, a machine learning engineer, or a data scientist– my goal remains the same: to deliver impactful results through innovation, mentorship, and technical excellence.

I’m eager to take on new challenges where I can evaluate and scale methods, enhance their robustness and interpretability, and build something entirely new.

Let’s connect and explore how we can create something truly impactful together! For a deeper dive into my professional journey and projects, feel free to explore my Research page or reach out directly via email.

Get in contact?

My personal email is marlinfiggins [at] gmail [dot] com, but I can also be reached mfiggins [at] uw [dot] edu.

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