Erin Molloy

Erin Molloy is an assistant professor in the Department of Computer Science. She also has an appointment in the Center for Bioinformatics and Computational Biology (CBCB).

Molloy's research focuses on designing and implementing phylogeny estimation methods that can effectively utilize distributed-memory systems and that have provable statistical guarantees (e.g., statistical consistency under stochastic models of evolution).

She is interested in making phylogenetic inference under complex statistical models both highly accurate and computationally tractable. Molloy is also interested in how core computational tasks for processing (high throughput) genome sequencing data can be improved by modeling for evolutionary processes.

She has been awarded an NSF Graduate Research Fellowship, the Ira and Debra Cohen Graduate Fellowship in Computer Science, and two exploratory allocations on the Blue Waters supercomputer in support of her dissertation research.

Molloy recently completed a yearlong position as postdoctoral researcher in the Machine Learning and Genomics Lab at the University of California, Los Angeles (UCLA).

She was previously a neuroimaging researcher at the Health Emotions Research Institute (University of Wisconsin-Madison).

Molloy received her doctorate in computer science from the University of Illinois at Urbana-Champaign in 2020.

Go here to view Molloy’s academic publications on Google Scholar.