Industrial biocatalysis book pdf download

Author: Peter Grünwald

About the Author: Peter Grünwald heads the machine learning group at CWI in Amsterdam, the Netherlands. He is also full professor of Statistical Learning at the mathematical institute of Leiden University. Currently the President of the Association for Computational Learning, the organization running COLT, the world’s prime annual conference on machine learning theory, he was co-program chair of COLT in 2015 and also chaired UAI – another top ML conference – in 2010/2011. Apart from publishing at ML venues like NIPS, COLT and UAI, he also regularly contributes to statistics journals such as the Annals of Statistics. He is the author of the book The Minimum Description Length Principle, (MIT Press, 2007; see here for an up-to-date (2020), much shorter introduction), which has become the standard reference for the MDL approach to learning. In 2010 he was co-awarded the Van Dantzig prize, the highest Dutch award in statistics and operations research. He received NWO VIDI (2005), VICI (2010) and TOP-1 (2016) grants.

Industrial biocatalysis book pdf download By Peter Grünwald

Biocatalysis has meanwhile become an essential tool in the chemical industry and is the central part of biotechnology, defined by the European Federation of Biotechnology already in 1988 as “the integration of natural sciences and organisms, cells, parts thereof, and molecular analogues for products and services.” As to the industrial application, biocatalysis is the core of industrial biotechnology, also known as white biotechnology; “white” stands for the positive impact on the environment associated with the use of biocatalysts as enzymes or whole cells in chemical processes as an alternative to chemical catalysts. Drivers of this development are the big challenges resulting from concerns about global climate change and the need for an assured energy supply. These aspects are discussed in Chapter 1 together with an overview of the many areas of daily life where biocatalysts are already employed.

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