Alex is a pioneer in the field of geophysics, being the first to successfully commercialize probabilistic inversion methods. His 8 years of professional and research experience spans a variety of disciplines, including mineral exploration, civil/geotechnical engineering, and groundwater science. Throughout this time, he has built commercial AI software, made foundational contributions to geophysical inverse theory, and authored 6 peer-reviewed journal articles.

Alex has a BS in Applied Geophysics from Michigan Tech and a PhD in Geophysics from Stanford University.

Tyler is a geologist and data scientist with eleven years of experience between research and the real world. Formerly working with Freeport McMoRan and Glencore, Tyler built upon industry experience in his PhD dissertation titled "Efficient Greenfield Mineral Exploration", where he made key contributions to AI and decision science with actionable applications to real-world problems.

Tyler has a Bachelor's in Geological Sciences from Hartwick College and a PhD in Geological Sciences from Stanford University.