A.G. Busetto, Postdoctoral Researcher, ITEE, ETH Zurich
What is the concrete value of information? In this talk, I report recent developments regarding the extraction of useful information from empirical data to solve concrete problems in computing and optimization. Going beyond communication and storage, I introduce novel approaches based on information theory and statistics to optimize the design of robust and efficient computer systems. I start by formulating statistical bounds with near-optimal guarantees of efficiency, which can be employed to quantify the robustness of an information processing system with respect to fluctuations induced by noise and faulty behavior. This enabling technology allows the system designer to accelerate prototyping by selecting between competing alternatives and taking information efficiency into account. I proceed by relating these concepts to optimal control of dynamical systems and systems biology, showing how measuring the value of information enables method selection for optimization and engineering design. I conclude by reporting practical applications in the context of biochemical reaction networks for signaling and bio-inspired computing, personalized treatment and automated microscopy in biomedicine, and nanotechnology of carbon nanotubes.
About A.G. Busetto:
Dr.Sc. A.G. Busetto is a postdoctoral researcher at the Department of Information Technology and Electrical Engineering at ETH Zurich, Switzerland, where he is establishing an initiative to engineer robust and efficient computing systems by taking the concrete value of information into account. His interdisciplinary research relates computing to information theory and optimal control, with the aim of optimizing the extraction of reliable information to solve optimization problems. He is also a member of the Competence Center for Systems Physiology and Metabolic Diseases, and collaborates in projects connecting systems biology, biological information processing and nanotechnology.
Dr.Sc. Busetto received the ETH Medal for Outstanding Doctoral Thesis for optimizing the value of information in complex dynamical systems. He has been awarded the Best Student Paper at the IC in AI in Education, Best of ITS 2012 Series of IJAIED for designing computer systems for intelligent tutoring, and the Best Paper at the IEEE IC in Computational Science and Engineering for biochemical reaction network modeling. He received the Best Master Thesis Award at the University of Padua, Italy, for computational nanotech of carbon nanotubes. He is a researcher at SystemsX.ch, the Swiss Initiative in Systems Biology and one of the largest ever partnerships in biomedicine and synthetic biology, and initiated collaborations in regenerative medicine, wind energy, and intelligent tutoring. His research appears in top-tier journals (such as Nature Methods, Science Signaling, PLoS Comp.Bio.) and his collaboration projects received significant media coverage on television, radio, general and specialized press (SF1, ORF, APA, der Standard). During his doctoral studies, he was delighted to visit MIT, Stanford, Caltech, University of Cambridge, Basel, Geneva, Melbourne, NICTA, MPI and UIUC.
Hosted by: The Computer Engineering Program