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Rachael Mansbach is a Professor at Concordia University specializing in Computational Biophysics. Her current research focuses on utilizing machine learning and computational modeling to understand protein behavior, particularly in relation to therapeutic applications such as antibiotic resistance and chronic pain management. Mansbach's lab explores the design and characterization of antimicrobial peptides and their mechanisms of interaction with bacterial membranes. Her work addresses urgent healthcare challenges posed by multidrug-resistant bacteria, emphasizing novel drug design approaches and machine learning model development to optimize therapeutic efficacy. In addition, her research extends to the simulation of photosynthetic proteins, elucidating the complexities of photosynthesis and its implications for renewable energy. Her collaborative projects on mucus modeling and network theory further reflect her interdisciplinary approach in advancing the field. Rachael actively mentors graduate students and engages in various cross-institutional collaborations to expand the impact of her work in biophysics and computational methodologies.
Administered by the Mel Hoppenheim School of Cinema; focuses on cinematic arts practice and research-creation.