Vinay Kartha
About Vinay Kartha
Vinay Kartha is a Postdoctoral Fellow at Harvard University and the Broad Institute of MIT and Harvard, focusing on the integrative analysis of next-generation sequencing data in medical genomics. He has a strong background in bioinformatics, with a Ph.D. from Boston University and extensive experience in computational methods for disease research.
Work at Broad Institute
Vinay Kartha has been serving as a Postdoctoral Fellow at the Broad Institute of MIT and Harvard since 2018. His research focuses on the integrative analysis and interpretation of next-generation sequencing data, particularly in medical genomics. He has developed expertise in multi-omic profiling, including RNASeq and DNA Copy Number Alteration data, with applications in cancer and neurodegenerative disorders.
Current Role at Harvard University
Since 2018, Vinay Kartha has also held the position of Postdoctoral Associate at Harvard University. In this role, he continues to advance his research in bioinformatics, leveraging his skills in programming and data analysis to contribute to the field of medical genomics.
Education and Expertise
Vinay Kartha earned his Doctor of Philosophy (Ph.D.) in Bioinformatics from Boston University from 2013 to 2017. Prior to that, he completed his Master of Science (M.S.) in Bioinformatics at the same institution from 2011 to 2013. He holds a Bachelor of Engineering (B.E.) in Biotechnology from the People's Education Society Institute of Technology, completed in 2011.
Professional Experience in Bioinformatics
Vinay Kartha has extensive experience in bioinformatics, having worked in various roles. He was a Research Assistant in the Division of Computational Biomedicine at Boston University School of Medicine from 2014 to 2018. He also served as a Project Trainee in the Department of Neurology at Boston University School of Medicine in 2012 and as a PhD candidate in Bioinformatics from 2013 to 2017.
Technical Skills and Tools
Vinay Kartha is proficient in several programming languages, including R, Python, Bash, and C. He has skills in web development and databases using HTML, CSS, and RShiny. His experience includes using bioinformatics software tools such as Bowtie, BWA, TopHat, and various data wrangling and visualization tools like UCSC genome browser, IGV, and ggplot.