Assistant Professor, Department of Marine Sciences Dr. Hoarfrost studies the interactions between biological systems and their environment using deep learning and machine learning techniques. She also develops high-throughput experimental techniques to test hypotheses and create deep learning-scale datasets, and deploys technologies to demonstrate their performance in the field. She is particularly interested in microbial drivers of the global carbon cycle, its impact on climate and the marine ecosystem, and marine biotech. Her research topics include: Foundation models and transfer learning for biology Active learning and self-driving labs Deep representation learning for microbial communities and emergent phenotypes Characterizing uncharacterizable microbes and functions ('microbial dark matter') Identifying key biomarkers of the marine carbon cycle and ecosystem-level microbial phenotypes Modeling the biological carbon pump Identifying/synthesizing marine microbes for commercially relevant sustainable materials The Hoarfrost lab is currently recruiting, we encourage interested students to reach out about opportunities. Education: PhD, Marine Sciences, University of North Carolina at Chapel Hill AB, Biology (Geobiology concentration), Dartmouth College Personal Website: The Hoarfrost Lab