PostDoctoral Research Fellow
I am currently working in a BBSRC funded project investigating molecular landscape of infectious bovine digital dermatitis disease. I am performing and analysing the data from WGS, RNAseq and single-cell RNAseq to understand the molecular etiopathology of the disease.
I was previously working in UKRI-GCRF funded project ‘One Health Poultry Hub’. I was working with the host-pathogen interaction part within the workpackage 11 of the project which deals with the host genetics and its association with the microbiota and AMR gene.
Project Scientist - III
I was currently working in UKRI-GCRF funded project ‘One Health Poultry Hub’. I was actively involved in Host/Pathogen Interaction Dynamics with focus on 16S rRNA gene sequencing and AMR gene sequencing.
Senior Research Fellow
I was working in UKRI-GCRF funded project ‘One Health Poultry Hub’. I was involved in sample collection and planning for Host/Pathogen Interaction Dynamics with focus on 16S rRNA gene sequencing and AMR gene sequencing.
CSIR-Senior Research Fellow
I was awarded CSIR-SRF fellowship for my Ph.D. research work on ‘Impact of plant development on structure and function of rhizosphere microbial community associated with groundnut (Arachis hypogaea L.): metagenomics and culture-based approaches’. I applied my expertise in microbiology and bioinformatics to elucidate microbial diversity using both approaches.
Research Fellow
I was appointed as research fellow in AAU-non planned project. During my time in the project, I worked on several projects involving microbiome research and learnt next generation sequencing and bioinformatic data analysis. As a result, published first authored, co-authored research articles in reputed journals like Microbiome, Functional and Integrative Genomics and International Journal of Biological Macromolecules.
This was a four day training workshop targeting how to process sequencing data to construct genomes, identifying genomic variants and applying downstream methods, such as phylogenetics using bioinformatics and machine learning algorithms. Further, the course covered transcriptomic and proteomic analysis in human and pathogen settings, which are equally transferable to other non-infectious disease modelling systems. High profile examples, including malaria, TB and MRSA, were used to illustrate the concepts, and there was a strong emphasis on how to implement the methods in practice, with the majority of sessions computer-based.
This was a one day online workshop demonstrating the need, applicaitons and usage of LaTex with special focus on scientific writing.
This was a three-week online course. It was conducted in association with University of Cambridge, UK. This course covered some of the mechanisms of antibiotic actions and bacterial resistance to antibiotics, the laboratory techniques used to accurately identify resistant strains, and bioinformatic tools used to analyse genomic data. The significance of AMR for global health was also discussed.
This was a five-days training. This training was conducted at the company owned laboratory of Thermo Fisher Scientific, Gurgaon. The training included the complete workflow of Microarray run of Axiom panels using their in-house GeneTitan instrument and included processes from sample preparation to data analysis.
This was a five-days intensive workshop. The course tutors Prof. Susan Holmes and Prof Leo Lahti are the developers of some of the widely used R packages used for metagenomic and microbial ecology data analysis. The workshop R based reproducible research using appropriate statistical data analysis methods. The entire workshop was conducted in hands-on fashion with guidance from the tutors.
This was a one-week national workshop. This workshop aimed to train the participants in the R programming language. R is a programming language most commonly used for statistical analysis and graph plotting. This workshop demonstrated the basics of R language, how to use it for statistical analysis using wide variety of data and plotting the data output. The entire training course was conducted in hands-on manner.
This was five-day training. This training imparted hands-on working of Joint Genome Institute’s Integrated Microbial Genomes & Microbiomes(IMG/M) system. IMG/M is an online system to analyse, annotate and compare multiple genomes and metagenomes. It is one of the world-renowned online analysis platforms developed and maintained by U.S. Department of Energy (DOE)-Joint Genome Institute.
This was a one-day training organised by Genotypic Technology Pvt. Ltd. This training introduced Oxford Nanopore MinION sequencing instrument, its hands-on working, and the data output. The training also discussed the potential applications of long-read Nanopore sequencing.
This was NAIP funded training programme. This training was organised by ICAR-Indian Agricultural Statistics Research Institute, New Delhi and Anand Agricultural University, Anand. This training was aimed to providing a hands-on experience of data analysis of several types of data used in molecular research. This training was specifically aimed entirely at the computational aspect.
This was my final year dissertation training. During this training, I explored the microbial diversity and their function using metatranscriptome sequencing. I was exposed to the field of microbial ecology and its study using culture-independent method by NGS. The training helped me understand and work on the NGS machines as well as work on the data analysis. I also learnt all the basic software, tools, and web-servers for analysing metagenomic data. The work done during this training was published in Anaerobe journal as a research article.
This was a purely computational training to familiarise myself with bioinformatics tools and resources.
This was my first individual research project wherein I determined the antioxidant activities of common medicinal plants.
This was a one-month summer training project during the college year. This was a training to familiarize myself with all the basic protocols routinely used in molecular biology work.