Paul Cardenas Lizama
Full time Professor - Bioengineering Department
PhD from Georgia Tech University where he researched and integrated experimental, computational and theoretical studies based on bioengineering at the cellular and molecular level. He obtained his Master's degree in nanoscience and nanotechnology from National Tsing Hua University. He studied mechatronic engineering at the National University of Engineering. He began his research career building mathematical models and simulations of biomolecules. His projects focus on the adhesion and signaling molecules of the immune system and use cutting-edge technologies, including the manipulation of micropipettes, atomic force microscopes, and biomembrane force probes. The current goal of her research is to gain a fundamental understanding of biological processes at the cellular and molecular level, and their relationships to human health and disease. Such studies are relevant to autoimmune diseases, immunodepressive diseases, and cancer.
- Mechanobiology of T cells and PD 1 receptors
- CD8 / CD4 coreceptors
- CD3 signaling domains
- Molecular dynamics
- Molecular immunology
- Probabilistic modeling for understanding biomolecules
- Machine learning in immunology
- Fluid modeling at macroscale of biologicals systems
- Fundamentals of Bioengineering (Biodesign module): This class gives a global view of Bioengineering as a career. The components of the biomedical and biotechnology part are analyzed with the vision of the & quot; engineering cycle & quot; in each process. We will study the global scope and the problems that exist at the local and regional level where Bioengineering has been developed and where it is an opportunity for solution.
- Biotransport: The class, of a theoretical-practical nature, presents / to the student the basic concepts of the transfer of moment, heat and mass, and teaches its application to biological systems. The class covers these transport phenomena in biological systems by applying quantitative and mathematical approaches. The concepts will be applied directly to physiology and biomedical devices.
- Stick-release pattern in stretching single condensed polyelectrolyte toroids. Link
- Control System based on Reinforcement Learning applied to a Klatt-Engell Reactor. Link