“Cells, algorithms and videotapes: Data driven, predictive modeling for life sciences”
by Prof. Petros Koumoutsakos
Chair of Computational Science, ETH Zurich
Visiting Professor, Mechanical Engineering Department, MIT
Advances in microscopy and biochip technology provide us today with a flood of data for biological systems.
The quantitative analysis of this data and their transformation into useful information and models
for the explanation and prediction of complex biological systems presents a formidable, yet exciting challenge.
Today we are making advances in this scientific frontier by developing efficient image and video analysis algorithms
that take advantage of powerful computers. Imaging and machine learning algorithms are combined with physical understanding to develop models that provide physical insight and suggest ways of intervening with biological systems for therapeutical purposes.
I will discuss such efforts and present case studies including the analysis of virus trajectories so as to reduce their reproductive potential as well as the role of fluid mechanics in the inception and detection of cancer.