Klinke: Difference between revisions

Here at West Virginia University, Prof. Klinke’s research program builds on his experience developing large-scale mathematical models of human pathophysiology. Building mathematical models of disease is a collaborative effort between chemical engineers and life scientists to extract information from the scientific literature to define, calibrate, and validate these models experimentally. Understanding biology via computational modeling and targeted experimentation is very similar to traditional research in chemical engineering. At the most basic level, chemical engineering is a field in which basic science data is integrated into computational frameworks. Traditionally, chemical engineering integrates basic chemistry data into computational models to develop new chemical products or processes. These models are used to make predictions. Predictions, as a quantitative representation of our knowledge, are used to confirm our knowledge of a system or identify area where our understanding may be inaccurate. Identifying shortcomings in our knowledge is an essential part of [http://www.nap.edu/openbook.php?record_id=6160 how people learn]. Moving forward into the 21st Century, there is an urgent need for integrating basic biology data into computational frameworks to understand disease pathophysiology and aid in the rational design of novel therapeutics. [http://www.engineeringchallenges.org/cms/8996/9129.aspx Engineering better medicines] is one of the [http://www.engineeringchallenges.org/ Grand Challenges in Engineering], which highlight the evolving role of engineering in society. It is our goal to become leaders in the field of chemical engineering by fulfilling this urgent need.