PhD candidate in Computational Biology at University of Washington
I am presently a PhD candidate in the lab of Professor Georg Seelig (co-advised by Dr. S. Kannan) 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 (or March 2018). I will be interning at Sage Bionetworks (Seattle) this summer as a Data Science intern.
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 disabilities. 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 will soon be in the market for a full time positions in Data Science/Computational Biology.
Education
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Expected March 2018
PhD, Electrical Engineering at University of Washington
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Thesis: Unsupervised learning and inference on single cell transcriptomic data
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May 2013
MS, Electrical Engineering at Rensselaer Polytechnic Institute
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Thesis: Passivity based control of building HVAC systems
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May 2011
BE, Power Engineering at Jadavpur University
Experience
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May-August 2012
Research Intern, Model based controls lab at GE Global Research
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Interned in the Model Based Control Lab. Responsibilities included:
1) Linear Parameter Varying Modeling of Gas Turbines
2) Simulation of building HVAC systems using EnergyPlus -
May-August 2010
Summer Research Intern, DAAD WISE scholar at Technical University of Hamburg-Harburg
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Worked on ‘Mathematical modelling, linear system identification and controller design of a control moment gyroscope’ under Prof. Herbert Werner. Specific responsibilities included :
1) Mathematical Modeling of a control moment gyroscope
2) System Identification of model parameters using Matlab by generating data from the plant
3) Developing simple PID controllers for plant
4) Developing LQG controller for plant -
Oct 2015 - present
UW e-Science Institute at Student collaborator
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1) Used Machine learning to predict connectivity of sidewalks from noisy publicly available data sets
2) Developed web interface for manual annotation
3) Developed smart adaptive routing tool for pedestrians
Link to project website: https://www.accessmap.io/
To contact this candidate email sumitmukherjee2@gmail.com
