About ClearWater
With our innovative and insightful application of machine learning and AI, we strive to enhance our water quality stakeholders' operational decision making. Founded in 2021 after our technology was incubated in The Prediction Lab, our incredible mathematicians, scientists, programmers, and designers have worked tirelessly to bring ClearWater to water quality and quantity stakeholders.
We maintain research and development projects, working with our clients to steadily improve the utility of our products, addressing the changing needs and motivations of our users. We have and will continue to work tirelessly to become the technological standard for water quality and quantity insights which many stakeholders depend on. Get in touch to learn more.
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Our Team
Mathew Titus
CTO
Since receiving his PhD in mathematics from Oregon State University, Mathew has worked as a complex systems scientist and machine learning developer. This experience informs his research on emergent behavior in social and natural systems and his approach in designing ClearWater. His work touches every element of ClearWater's processes: data sourcing, algorithm testing and design, sales, and deployment.
John Woodill
Senior Data Scientist
John holds a PhD in Economics from the University of Hawaii, and has conducted research at Oregon State University. John is also a data scientist and data-systems architect. John has vast experience developing machine learning models and building data systems for ingesting and QC/QA-ing clean and dirty data alike.
Advisory Board
Adam Wolf
Chief Scientist and Founder
Arable Labs, Inc.
Beth Tellman
Chief Science Officer & Co-founder
Cloud to Street