A5069209218- Orthopaedic implants and arthroplasty
- Total Knee Arthroplasty Outcomes
- Tribology and Wear Analysis
- Metal and Thin Film Mechanics
- Polyoxometalates: Synthesis and Applications
- Mesoporous Materials and Catalysis
- Modular Robots and Swarm Intelligence
- Machine Learning in Materials Science
- Catholicism and Religious Studies
- Bone Tissue Engineering Materials
- Biocrusts and Microbial Ecology
- Ionic liquids properties and applications
- Medieval Philosophy and Theology
- Calcium Carbonate Crystallization and Inhibition
- Marine Sponges and Natural Products
- Enzyme Production and Characterization
- Career Development and Diversity
- Diamond and Carbon-based Materials Research
- Force Microscopy Techniques and Applications
- Advanced materials and composites
- Orthopedic Infections and Treatments
- Engineering Education and Curriculum Development
- Polymer crystallization and properties
- Theology and Canon Law Studies
- Engineering Education and Pedagogy
Massachusetts Institute of Technology
2023-2025
University of California, Berkeley
2018-2024
Nature has severely outpaced humans in developing multifunctional, hierarchical materials that access impressive material properties, all the while being fully degradable and part of native ecosystems. But how can we effectively model intricate time length scales biological systems to translate design principles meet engineering demands? We postulate generative artificial intelligence (AI) play a crucial role solving this interdisciplinary challenge, translating insights across disparate...
Abstract Biological systems generate a wealth of materials, and their design principles inspire inform scientists from broad range fields. Nature often adapts hierarchical multilevel material architectures to achieve set properties for specific functions, providing templates difficult tasks understanding the intricate interplay between structure–property–function relationships. While these materials tend be complex feature functional interactions across scales, molecular-based multiscale...
Abstract Upper-division technical electives in undergraduate engineering curricula provide students with an opportunity to learn about various industries within the discipline, which are often aligned well ongoing research areas conducted by professors department. As student, establishing a area of interest is first step towards becoming researcher and important part pipeline careers academia. A semester-long seminar course was offered mechanical department expose research, while providing...