Carlos F. Lopez Ph. D.: My formal training has been in the fields of chemistry, physics, biophysics, biochemistry, and molecular cell biology with a unique emphasis on the development and application of modeling techniques. I apply my skill-set in cell molecular and systems biology with a focus in cancer research. Given my training from atomic interactions to continuum-cellular interactions I am deeply interested in how events that take place at one space-time scale (e.g. quantum interactions) have an effect on the interactions at the macroscale. From this perspective, cancer biology is a perfect area of application to my theoretical interests due to its inherent multi-scale properties. At the same time, I believe a thorough understanding of cancer development and progression necessitates the development of a multi-scale theoretical foundation that can account for events such as DNA/genomic level aberrations (atomic space and time scales), protein malfunctions, and others, and their propagation to proteins (molecular scales), organelles, cells, and ultimately organs. My driving hypothesis is that understanding the events involved in cancer at multiple scales and developing theories and models to explore cancer biology from systems perspective are key to developing novel successful cancer treatments. This goal is quite ambitious, and I am approaching it by initially focusing on cell signaling pathways that exhibit dysregulation in cancer phenotypes. I also work on trying to provide a novel theoretical understanding of cancer progression that, in turn, will open new possibilities for targeted treatments.
Graduate Students (Program: General interests):
- Michael Irvin (Interdisciplinary, Sys Bio & Stats): Machine learning, signaling crosstalk.
- James Pino (Chemical and Physical Biology): large mechanisms, omics analysis, data mining, automated model generation, stochastic simulation methods, GPU programming.
- Oscar Ortega (Chemical and Physical Biology): execution modes and dynamic analysis of biological networks.
- Michael Kochen (Biomedical Informatics): logic models and signaling mechanisms.
- Geena Ildefonso (Chemical and Physical Biology): machine learning, model building, model calibration.
- Melaine Sebastian (Pharmacology): Model building, model calibration, signaling networks, small cell lung cancer.
Postdoctoral Fellows (general interests):
- Leonard Harris, PhD: Cell population dynamics. model building, numerical methods, logic and mechanistic models.
- Alexander Lubbock, PhD: Modeling infrastructure and dynamic cellular processes with single-cell resolution.
- Blake Wilson, PhD: Molecular interactions and cellular network processes.
- Martina Prugger, PhD: Numerical algorithms, scientific computing, high performance computing, and biological applications.
- Erin Shockley, Ph. D. (Chemical and Physical Biology)