Difference between revisions of "Sayantan Das"

From Genome Analysis Wiki
Jump to navigationJump to search
(Created page with "200px|right '''Sayantan Das (Santy)''' is a PhD student in Department of Biostatistics, working with professor Goncalo Abecasis|'''Gonçalo Abecasis...")
 
Line 1: Line 1:
 
[[Image:SantyPic.jpeg|200px|right]]
 
[[Image:SantyPic.jpeg|200px|right]]
  
'''Sayantan Das (Santy)''' is a PhD student in Department of Biostatistics, working with professor [[Goncalo Abecasis|'''Gonçalo Abecasis''']].
+
<span class="plainlinks">
 +
'''Sayantan Das (Santy)''' is a PhD student in the [http://www.sph.umich.edu/biostat/ Department of Biostatistics], working with professor [[Goncalo Abecasis|'''Dr. Gonçalo Abecasis''']]. He finished his undergrad degree (B.Stat) and Master's degree (M.Stat) from the [http://www.isical.ac.in/ Indian Statistical Institute, Kolkata] specializing in Mathematical Statistics and Probability. He joined the [http://csg.sph.umich.edu/ Center of Statistical Genetics], [https://www.umich.edu/ University of Michigan] in 2011 and has been working on statistical genetics as part of his doctoral research.
 +
 
 +
His main area of interest is Genotype Imputation and he has developed a analytical tool, [https://statgen.sph.umich.edu/wiki/Minimac3 Minimac3], for imputation that is faster and more memory-efficient than contemporary imputation tools, while maintaining the same imputation accuracy.
 +
</span>

Revision as of 21:23, 2 September 2014

SantyPic.jpeg

Sayantan Das (Santy) is a PhD student in the Department of Biostatistics, working with professor Dr. Gonçalo Abecasis. He finished his undergrad degree (B.Stat) and Master's degree (M.Stat) from the Indian Statistical Institute, Kolkata specializing in Mathematical Statistics and Probability. He joined the Center of Statistical Genetics, University of Michigan in 2011 and has been working on statistical genetics as part of his doctoral research.

His main area of interest is Genotype Imputation and he has developed a analytical tool, Minimac3, for imputation that is faster and more memory-efficient than contemporary imputation tools, while maintaining the same imputation accuracy.