What led einstein to come to the conclusion that space time is like a blanket? What complicated mathematics did he use? What led him to believe that energy is actually matter moving at the speed of light?
Professor Ido Golding received his Ph.D in physics from Tel Aviv University (Israel) in 2001. Although trained as a condensed matter theorist, he has spent the last five years learning the experimental arsenal of modern molecular biology.
From 2002 to 2006, Professor Golding has been a Lewis Thomas Research Fellow in the Department of Molecular Biology at Princeton University. He joined the faculty of the Department of Physics at the University of Illinois at Urbana-Champaign in January 2007.
Interest in many of the classical model systems studied in biology has been reignited by a recent influx of new insights, largely thanks to the application of quantitative approaches, in both experiments and theory. This “quantitative revolution” encompasses a hierarchy of levels: From the single molecule (for example, using optical tweezers to study the interactions of biomolecules in vitro), through the single cell (studying cell-to-cell variability in gene expression by fluorescence microscopy), up to the level of whole populations (where DNA microarrays are used to quantify genome-wide expression patterns).
I have chosen to study the E. coli bacterium and its virus, the bacteriophage lambda. These two organisms serve as basic paradigms for many physiological processes, including gene expression, epigenetic stability and switching, viral-host interactions, DNA replication, genetic recombination and more. I have developed and applied new quantitative tools for probing cellular interactions within these systems by combining genetic manipulation and high sensitivity fluorescence imaging. This strategy allows us to follow dynamic processes in individual cells, in real time, with a single-event resolution. In my lab, such quantitative experimental work will be accompanied by mathematical modeling, with a constant feedback between the two endeavors.
The work employs a set of skills broader than those generally mastered within a single discipline, including the techniques of microbiology and molecular genetics, real-time imaging of live cells to make dynamic measurements, and data analysis using the engineer’s toolbox of signal and image processing, all accompanied by the theoretical tools of dynamical systems theory, stochastic processes, non-equilibrium phenomena and more. As such, this practice of modern in vivo biology, combined with the high intellectual effort of a quantitative approach, will contribute significantly to a young scientist’s training experience, better preparing them for the future world of “Systems Biology”.
Prospective students and post-docs of all backgrounds (physics, biology, chemistry, engineering, etc.) are welcome to contact me.
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