Sumit Mukherjee sumitmukherjee2

I am presently a PhD candidate in the lab of Professor Georg Seelig at the University of Washington (http://homes.cs.washington.edu/~seelig/), Seattle. I work in the general area of Computational and Systems Biology. I expect to graduate around December 2017. I am primarily involved in developing machine learning tools to analyze large biological datasets, specifically single cell transcriptomic datasets. I have largely focused on developed unsupervised learning methods for such datasets in order to perform various activities such as clustering, dimensionality reduction, manifold learning, network estimation and differential network analysis. As a future application of my work, I am interested in inferring dynamic models of biological pathways which can potentially aid synthetic biologists in engineering pathways better. I am also involved in a side project with the UW e-Science institute on building a customizable routing application for pedestrians with disabilties. I will be in the job market soon for full time positions and am in the job market now for a summer intern position for summer 2017. Drop me a line at mukhes3@uw.edu if you want to talk about the specifics of my projects or have an opportunity for me. I did my MS in Electrical Engineering at Rensselaer Polytechnic Institute (RPI), USA. I worked under the guidance of Dr. S. Mishra and Dr. J. Wen on Energy Efficient Control of Building HVAC systems. We explored the use of the passivity property of the building thermal network to develop controllers that require minimal knowledge of the system parameters but guarantees stability.

Greater Seattle Area

Research Scientist

Research

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