ML internship at Genome Institute Singapore (EE 3rd year and 4th year duals)

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Sambhav Gupta

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Dec 8, 2014, 12:29:57 PM12/8/14
to electrical2...@googlegroups.com, ee-...@googlegroups.com, ee_iit...@googlegroups.com, Sanjit Singh Batra, jaya...@ee.iitd.ac.in


---------- Forwarded message ---------
From: Sanjit Singh Batra <sanjit...@gmail.com>
Date: Sun Dec 07 2014 at 18:21:50
Subject: Please forward this to CS/EE 3rd/4th year Duals and 3rd year B.Tech students(please cc me and Dr. Jayadeva)
To: Abhay Mitra <abhaymi...@gmail.com>, Sambhav Gupta <sambhav...@gmail.com>


Dear Students

This is an opportunity for an internship at the Genome Institute of Singapore, during the summer of 2015. Interested students of 3rd year B.Tech or 3rd/4th year Dual Degree, from the CS and EE departments, should contact Dr. Jayadeva at iit...@gmail.com immediately, with their resumé.

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In collaboration with Prof. Jayadeva at IIT Delhi, the Prabhakar group at the Genome Institute of Singapore(http://www.gis.a-star.edu.sg/internet/site/investigator/investigator.php?user_id=94) is looking for interns (Summer 2015) with strong mathematical, statistical or computational skills and an interest in genomics, biotechnology or cancer biology.

The project involves mathematical analysis of the expression levels of all genes in the human genome at single-cell resolution. We will apply statistical and machine learning techniques to infer gene regulatory networks from single cell data. We will also examine the topology of subnetworks defined by highly expressed genes in specific cell types. These techniques will be applied to single-cell data from blood, brain and tumour samples with a view to unravelling the regulatory dynamics of normal and disease-associated tissues.

The Genome Institute of Singapore (GIS, http://www.gis.a-star.edu.sg/internet/site/), founded 14 years ago when the human genome was sequenced, is Singapore's flagship institute for genome science and genomic medicine. Research at the GIS uses the latest high-throughput genomic technologies for massively parallel data generation, followed by integrative mathematical analysis to detect patterns, identify statistical outliers and derive biological insights. Specific application areas include cancer, stem cells, neuroscience, human genetics and infectious disease.

Students will receive a stipend of $1,000 per month, plus economy round-trip airfare.
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