Highlights

Presentations

• Machine Learning for Multiscale Materials Modeling, Design & Discovery. [PDF] Sibley Graduate Research Symposium, May 2023.

• Multiscale Modeling and Machine Learning Design Optimization of Nanomaterials for Sustainability. [PDF] Master's Thesis Defense at Cornell, Apr. 2023.

• An automated Bayesian optimization workflow for antimicrobial nanosurfaces. [PDF] Sibley Graduate Research Symposium, May 2022.

• Antifouling active surface-by-design from automated Bayesian optimization. [PDF] Cornell Antifouling Meeting, hosted by Mechanics for Material Design Group, Apr. 2022.

• Computation Methods for Applied Mechanics Problem. [PDF] The 3rd Undergraduate Academic Forum of Shanghai University, Dec. 2020.

Posters

• Bayesian Optimization Designs Metamaterials for Biofilm Control. [PDF] Engineered Living Materials Institute Research Symposium, May 2023.

• Multiscale Computational Mechanics & AI for Materials Design. [PDF] Cornell PhD Visit Day, Mar. 2023.

• Multiscale Characterization of Graphene Fracture using Machine Learning & Empirical Interatomic Potentials and Mechanics. [PDF] Molecular Machine Learning Conference @ MIT, Dec. 2022.

• Multiscale Mechanics of Graphene Fracture under Thermal Gradients using Empirical and Machine-Learned Interatomic Forcefields. [PDF] Materials Science & Engineering Research Symposium, June 2022.

• Designing next generation biocompatible materials with Machine Learning + Multiscale & Multiphysics Modeling. [PDF] Cornell PhD Visit Day, Mar. 2022.