Precision Biosystems Laboratory


Education

  • Ph.D., Massachusetts Institute of Technology, 2007
  • M.S.M.E., Massachusetts Institute of Technology, 2003
  • B.S.M.E., Georgia Institute of Technology, 2001

Teaching Interests

Professor Forest's teaching interests encompass fundamental and advanced topics in solid and continuum mechanics, including elasticity, plasticity, and materials behavior at multiple scales. He engages students in both undergraduate and graduate courses aimed at developing a rigorous understanding of mechanical response and material modeling. His teaching emphasizes the integration of theory with computational methods and practical applications relevant to mechanical engineering.

Research Interests

Professor Forest's research focuses on the multiscale modeling of the mechanical behavior of materials, particularly the development of constitutive models that capture complex phenomena such as plasticity, damage, and phase transformations. His work integrates micromechanical and computational approaches to predict material responses under various loading conditions, contributing to the understanding and design of advanced engineering materials.

Recent Publications

  • S Kim, N Baughman, M Badawy, M Armstrong, K Wayne, CR Forest, ..., Integrated System for Rapid Detection of Indoor Airborne Pathogens, Available at SSRN 5357006, 2025.
  • AD VandeLoo, N Malta, K Stillwagon, V Guyard, E Aponte, T Fernandez, ..., An Interactive Patch Clamping Simulation to Teach and Train Electrophysiology: AD VandeLoo et al., Biomedical Engineering Education, 1-9, 2025.
  • AD VandeLoo, NJ Malta, S Sanganeriya, E Aponte, C van Zyl, D Xu, ..., SAMCell: Generalized label-free biological cell segmentation with segment anything, Plos one 20 (9), e0319532, 2025.
  • S Kim, N Baughman, M Badawy, M Armstrong, K Wayne, E Vogel, ..., EGFET-based detection of airborne E. coli using a recirculating wetted wall cyclone collection, Sensors and Actuators B: Chemical, 139037, 2025.
  • S Ehrlich, AD VandeLoo, M Badawy, MM Gonzalez, M Stockslager, ..., Screening channelrhodopsins using robotic intracellular electrophysiology and single cell sequencing, Journal of Neuroscience Methods, 110663, 2025.