معرفی
Emily Dolson is an Assistant Professor in the Department of Computer Science and Engineering (CSE) at Michigan State University's College of Engineering, and core faculty in the Ecology, Evolution, and Behavior program. Her research focuses on developing algorithmic approaches to control evolutionary trajectories in complex ecological communities through computational experiments, spanning simple models to artificial life systems. This work bridges evolutionary medicine, computational theory, and empirical biology through collaborations with wet-lab scientists.
Education:
- Ph.D., Computer Science & Engineering and Ecology, Evolutionary Biology, & Behavior, Michigan State University (2019)
- B.A., Computer Science and Biology, Swarthmore College (2013)
Her research interests emphasize computational tools for evolutionary dynamics, including phylogenetic tracking, open-ended evolution measurement (via the MODES toolbox), and ecological theory integration into evolutionary algorithms. Recent work explores fitness seascapes, counterdiabatic driving in evolutionary systems, and scalable phylogenetic analysis.
Awards:
- International Society for Artificial Life Outstanding Service Award (2019)
- International Society for Artificial Life Outstanding Student Research Award (2019)
Publications highlight innovations in evolutionary computation techniques, phylogenetic informatics, and interdisciplinary applications of artificial life. Ongoing efforts include developing high-performance tools for tracking evolutionary processes at scale and exploring evolutionary mechanisms relevant to medical and environmental contexts.
