Computational research is an integral part of modern chemistry, biotechnology and pharmaceutical research, and this domain has been extensively being exploited to retrieve critical information from complex chemical and biological data to advance biomedical research and industrial applications. I am a computational researcher, and I implement and integrate sophisticated computational methods (described below) to derive testable hypothesis and solve multi-dimensional complex problems in life-science and biotechnological research.
My primary research is inclined towards the computational protein engineering and computational drug design, where I implement state-of-the-art molecular modeling and simulations methods and integrate data analysis to design efficient biocatalyst for industrial applications, and design novel small molecules against therapeutically important targets.
My research also involves analysis of various next generation sequencing (NGS) data and development of computational workflow to critically analyse in-house/publicly available data, and retrieve meaningful information from large sequence space.
Data analysis is another domain of my research, and love digging information within the complex data sets, particularly relevant for life science and biotech applications. I use statistical methods, and machine learning algorithms to decipher the hidden complexity of the data and build predictive models
Please feel free to contact me if you have any questions