SUDHANSHU SHEKHAR



Statistical Geneticist | Computational Biologist | Cell and Molecular Biologist

Sudhanshu Shekhar is a skilled Data Scientist specializing in Computational and Systems Biology. He is committed to advancing personalized healthcare by investigating challenges in biology using computational biology, statistics, and experimental biology.

With over a decade of hands-on involvement in interdisciplinary research within an academic framework, Sudhanshu offers a unique blend of scientific rigor and practicality. His specialized knowledge in computational biology and statistics is augmented by his capability to perform benchwork experiments in genetics, cell and molecular biology, and biochemistry; making him an asset in a cross-functional team.

Sudhanshu's entry into the field of research was initiated during his undergraduate and master's studies. This passion steered him towards joining Purdue University's Interdisciplinary Life Science (PULSe) program, where he immersed himself in Genomics, Computational Biology, and RNA Therapeutics. He is pursuing a Ph.D. in Computational and Systems Biology in the laboratory of Dr. Peristera Paschou with an anticipated graduation in April 2024.


His research aims to discover novel gene-disease associations using computational tools and human multi-omic datasets. Sudhanshu can analyze large disease-agnostic multi-omic datasets with programming languages (R and Python) and is proficient in utilizing high-performance computing clusters (HPC) and parallel computing. Sudhanshu utilizes his expertise in statistical genetics tools such as GWAS, TWAS, eQTL, PWAS, pQTL, PLINK, and GATK, among several others, to drive innovation in the field of genomics. His proficiency in research is complemented by robust collaborative abilities, rendering him a valuable asset to interdisciplinary teams dedicated to achieving scientific breakthroughs.