Research

My research focus is in the field of computational biology, specifically in the use of parallel computing to analyze large biological datasets, for example, constructing cellular and gene regulatory networks from gene expression data. I aslo have developed parallel algorithms in the analysis of high-throughput sequencing reads such as error correction and clustering.

Employment/Education History

2016 – Present

Senior Research Scientist at Georgia Institute of Technology, Atlanta, USA.

Since 2016, I am working as a Research Faculty at the Institute of Data Engineering and Science (IDEaS) focusing on the use of Big Data and Machine Learning models in Computational Sciences with an emphasis towards High Performance Computing (HPC). In addition to research, I also advise graduate and under-graduate students on solving HPC and Bioinformatics research problems, and manage IDEaS’ HPC infrastructure allocation and usage. Research papers and software developed in this role are listed here and here respectively.

2011 – 2016

Ph.D Candidate at Indian Institute of Technology Bombay, Mumbai, India

Graduate Research on Parallel Algorithms/High Performance Computing in big data problems in Computational Biology. Thesis: Parallel Algorithmic Techniques for Large-scale Problems in Computational Biology

2001 – 2009

Software Engineer/IT Consultant at Tata Consultantcy Services, Hyderabad, India

Prior to my Ph.D, I worked as an IT Consultant for 8 years and 6 months in soft- ware development, implementation and maintenance of “Teamcenter Engineering”, the market leader of Project Lifecycle Management (PLM) software. In the 8.5 years of experience as a software engineer, four of which I was also as a project leader, my work involved in developing/customizing software to manage multiple versions of product engineering designs, all throughout the product's life cycle. A summary of my roles/responsibilities is in my linkedin page.