Early researcher

Priyansh Srivastava


The first lecture on data structures during my undergraduate degree stimulated an interest in programming. I chose computer science-related subjects such as Artificial Intelligence and Machine Learning in my final year. Having an undergraduate degree in bioinformatics has helped me grasp multidisciplinary research.

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After finishing my undergraduate degree in India at Amity University, I moved to Ireland to pursue Genomics. I secured the Max Arthur Macauliffe Scholarship from the National University of Galway for my master's degree, awarded to 3 Indians every academic year. During the master's degree, I strengthened my statistical thinking and learned to turn ideas into realities. I opted for modules such as Data visualisation and Networks to enhance my understanding of systems biology approaches.

One of the critical reasons to join INTERCEPT-MDS Project 12 was the opportunity to work in an industrial setting. I always intended to join the ranks of industrial researchers to advance technology for a company's profit and the benefit to consumers, and possibly to society.

Besides academics, I spend my time going on hikes, swimming and meeting people from different cultures. Being a cat person, sometimes I also waste my time watching cat videos :)

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Single-cell RNA sequencing (scRNA-Seq) datasets are subject to non-trivial noise and drop-outs that significantly impact the downstream analysis and reduce the power of a statistical test to infer biological connotation. My project aims to develop methods for the functional analysis of scRNA-seq data that can consider the characteristic features of scRNA-seq datasets, such as data imputations and multiple comparisons among different cell types.

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Biological processes, such as clonal expansion, can also be represented as continuous dynamic changes in cell type/state (cell-trajectory). Tracking pathway activity changes over a cell trajectory can help infer transcriptional regulation. Thus I also aim to develop approaches to represent dynamic functional changes in a cell to help conclude inter/intra-cell regulation. This could also assist in the interception of diseases in progression upon perturbation.

Simultaneously, I will develop the single-cell module of the OmicsBox (BioBam Bioinformatics S.L.), thereby making single-cell tools more user-friendly and reproducible for the scientific community.

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