2022 - Present
Degree: Doctor of Philosophy (Ph.D)
Line of Research: Bioinformatics
Group: Genomics of Gene Expression Lab
Thesis: Development of computational methods for the functional analysis of scRNA-seq data.
Why did I do this?
During my master’s degree, I strengthened my statistical thinking and learned how to turn ideas into realities. I chose modules such as Data Visualization and Networks to deepen my understanding of systems biology approaches. After that I wanted to join the ranks of industrial researchers, advancing technology for the benefit of companies, consumers, and society.
After learning the R-Shiny framework and Nextflow during my master’s degree, I developed a strong interest in creating and building computational tools. The satisfaction of seeing my code run successfully and produce meaningful results is unparalleled. This passion led me to pursue a Ph.D. in Bioinformatics, focusing on developing computational methods for the functional analysis of scRNA-seq data-a perfect blend of my interests in biology and technology.
This aspiration led me to the INTERCEPT-MDS Marie Curie ITN, which offered an industrial doctorate position and access to a network of experts. Project-12 of the ITN, hosted by BioBam Bioinformatics S.L.. Working with developers of Blast2GO and OmicsBox was an incredible opportunity. Over the year, this role has not only helped me grow professionally but also taught me how to work on enterprise level code and foster professional relationships in the workplace.
The principal investigator for the project was Prof. Ana Conesa; if you have read “A survey of best practices for RNA-seq data analysis” then you know the caliber of mentorship I received. Currently, I am writing my thesis and eagerly looking forward to new opportunities that come my way.
2020 - 2021
Degree: Master of Science (M.Sc)
Major: Computational Genomics
Coursework: Data Visualization, Medical Genomics, Probabilistic Models, Statistical Modelling with R.
Thesis: Impact of gene sequence clustering in determining microbe-microbe interactions in the environmental microbiome.
Why did I study this?
After finishing my 4-year bachelor’s degree in bioinformatics in India, I felt well-equipped with a strong foundational knowledge. However, I noticed a gap in my professionalism and project delivery skills. I could write code effectively, but I struggled with the nuances of presenting and executing a project from start to finish. This realization coincided with the onset of the COVID-19 pandemic, a time that underscored the importance of continual learning and adaptation.
I chose to move abroad to Galway, Ireland, not for the allure of Guinness, but because the University of Galway offered me a full scholarship to study for my master’s. This opportunity was a clear choice, providing me with the chance to enhance my professional capabilities in a new and stimulating environment.
2016 - 2020
Degree: Bachelor of Technology (B.Tech)
Major: Bioinformatics
Coursework: Bioinformatics, Data Structures with C/C++, Molecular and Cell Biology, SQL.
Thesis: Prediction of latent to active progression of tuberculosis in Humans through machine learning based binary classification.
Why did I study this?
In high school, my fascination with DNA and the immense information it carries ignited a passion for understanding living systems. Unlike the straightforward process of dismantling a remote control car to see how it works, exploring the complexities of life requires more sophisticated tools. The revelation that bioinformatics could uncover these biological intricacies through computational analysis was a game-changer for me, solidifying my decision to pursue this field.
The inspiration wasn’t solely academic; the excitement of “Jurassic Park” and the allure of a computer hacker’s life added to my enthusiasm. Bioinformatics became the perfect fusion of my love for biology and technology, offering a unique way to investigate life’s mysteries without the constraints of traditional methods.