Lorie Loeb

Papers

Total Citations

H-Index

About

Lorie Loeb is a pioneering researcher whose work lies at the intersection of data science education, system dynamics, and field robotics. Her most-cited paper, "Infusing Data Science into the Undergraduate STEM Curriculum" (2024, 2 citations), reflects her commitment to transforming how students engage with complex, data-driven problems. Beyond the classroom, Loeb’s core contributions span control theory, signal processing, and machine intelligence, with a particular focus on enabling robot mobility in unstructured, extreme terrains. She has led student teams in developing and deploying robots for field science in Antarctica, demonstrating how theoretical advances in sensor systems and autonomous navigation can solve real-world challenges in one of the harshest environments on Earth. Her work bridges rigorous engineering with hands-on exploration, inspiring a new generation of researchers to apply computational thinking to pressing scientific questions. Loeb’s impact is measured not only in citations but in the robots she has helped field and the students she has mentored—many of whom now lead their own labs. Her career exemplifies how integrating data science into STEM curricula can drive innovation from the classroom to the ice.