Our lab uses molecular simulations to understand and design functional soft materials, with global sustainability and health challenges in mind. We work at the intersection of molecular simulations, machine learning, and information theory to discover and develop tunable organization, structure, and function.
Research
Discovering Soft Materials for Sustainability
Designing bio-inspired materials for environmental challenges, focusing on peptide-based systems for nanoplastic capture from water.
Designing Self-Assembly Pathways
Understanding molecular organization and phase behavior in soft materials through molecular simulations.
Developing Molecular Design Tools
Creating computational approaches that combine molecular simulations with information theory to guide materials discovery.
Team
Principal Investigator
Ashley Guo
Principal Investigator
Assistant Professor, Department of Chemical & Biochemical Engineering
Email: ashley.guo [at] rutgers [dot] edu
Office: Engineering C-164
PhD Students
Mansi Gokani
NIH Biotech Training Fellow, 2024-
B.S. Chemical Engineering, University of Washington, 2023
mg1992 [at] rutgers [dot] edu
Benjamin Borow
M.S. Chemical and Biochemical Engineering, Rutgers University–New Brunswick, 2024
B.S. Biomedical Engineering, Rutgers University–New Brunswick, 2023
bb569 [at] rutgers [dot] edu
MS Students
Kaelyn Chang
B.S. Chemical and Biochemical Engineering, Rutgers University-New Brunswick, 2025
kc1228 [at] rutgers [dot] edu
Undergraduate Researchers
Brianna Fea
2024-2025 Aresty Research Assistant
Rutgers CBE c/o 2027
bzf1 [at] rutgers [dot] edu
Jean Chen
2025-2026 Aresty Research Assistant
Rutgers CBE c/o 2028
jc3188 [at] rutgers [dot] edu
Lab Alumni
Samiyah Siddiqui, graduate research assistant, 2024-2025
Julietta Straviou (Georgia Tech CBE), summer visiting undergraduate, 2025
Prospective Students
We are seeking curious and motivated students who are interested in data- and information-driven modeling of biomolecules, polymers, and colloids. Students should have a strong background and interest in the physical sciences and mathematics. Previous experience in computer programming or molecular simulation is helpful but not required.
Current and prospective Ph.D. students are encouraged to contact Prof. Guo directly to discuss potential opportunities and research interests. Prospective graduate students should apply to the Rutgers CBE program. Highly motivated undergraduates are welcome to inquire about opportunities by emailing Prof. Guo with a copy of their CV and details on their relevant completed coursework.
News
Bri at AIChE Mid-Atlantic Student Conference
Last full-house group meeting of 2024
Group dinner