Miguel Fuentes-Cabrera
Associate Teaching Professor

Education
- PhD in Physics, University of La Laguna — Spain
- BS in Physics, University of La Laguna — Spain
Biography
Miguel Fuentes-Cabrera is an associate teaching professor in the Khoury College of Computer Sciences at Northeastern University, based in Oakland.
Before joining Khoury College in 2023, Fuentes-Cabrera built his research career at the Oak Ridge National Laboratory in Tennessee, where he used computational physics techniques to investigate nanomaterials. His research combines simulation and data science, with deep learning techniques parsing the data to improve simulation models and pave the way toward autonomous experiments. Most recently, he has studied diblock copolymers, microbial populations, and proteinaceous structures, among other topics. Along the way, he earned a Fulbright Scholarship, co-patented a self-assembly patterning method for organic molecules, and had his research cited more than 2000 times.
At Khoury College, Fuentes-Cabrera excitedly mentors students and teaches foundational computing topics, including discrete structures and data programming. When he’s not in the classroom, he can be found rock climbing, whitewater kayaking, or mountain biking.
Recent publications
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Predicting partner fitness based on spatial structuring in a light-driven microbial community
Citation: Jonathan K. Sakkos, María Santos-Merino, Emmanuel J. Kokarakis, Bowen Li , Miguel Fuentes-Cabrera, Paolo Zuliani, Daniel C. Ducat. (2023). Predicting partner fitness based on spatial structuring in a light-driven microbial community PLoS Comput. Biol., 19. https://doi.org/10.1371/journal.pcbi.1011045 -
Inferring assembly-curving trends of bacterial micro-compartment shell hexamers from crystal structure arrangements
Citation: Luis F. Garcia-Alles, Miguel Fuentes-Cabrera, Gilles Truan, David Reguera. (2023). Inferring assembly-curving trends of bacterial micro-compartment shell hexamers from crystal structure arrangements PLoS Comput. Biol., 19. https://doi.org/10.1371/journal.pcbi.1011038 -
Performing Video Frame Prediction of Microbial Growth with a Recurrent Neural Network
Citation: Connor Robertson, Jared L. Wilmoth, Scott Retterer, Miguel Fuentes-Cabrera. (2022). Performing Video Frame Prediction of Microbial Growth with a Recurrent Neural Network CoRR, abs/2205.05810. https://doi.org/10.48550/arXiv.2205.05810 -
Self-Propulsion Enhances Polymerization
Citation: Maximino Aldana, Miguel Fuentes-Cabrera, Martín Zumaya. (2020). Self-Propulsion Enhances Polymerization Entropy, 22, 251. https://doi.org/10.3390/e22020251