Niladri Mondal, MS
Hi there! I’m Niladri Mondal
I’m a PhD researcher working with large genomic datasets at the intersection of bioinformatics, computational biology, and comparative phylogenetics. My work focuses on the evolutionary processes that shape trait evolution in vertebrates over time.
I’m proficient in Python and R for data wrangling, statistical analysis, and reproducible research workflows, and I also have hands-on experience with molecular laboratory techniques. Before my current focus, I worked on molecular dynamics simulations, Landsat-based land cover classification, and in silico vaccine design, which strengthened my interest in applying computational tools across data driven domain.
I’m currently an IMEC research intern, where I’m working on memory-architecture mapping for genomic workflows, connecting genomics pipelines with modern computing systems to better understand performance constraints and opportunities (e.g., bandwidth, latency, and energy).
I’m a PhD researcher working with large genomic datasets at the intersection of bioinformatics, computational biology, and comparative phylogenetics. My work focuses on the evolutionary processes that shape trait evolution in vertebrates over time.
I’m proficient in Python and R for data wrangling, statistical analysis, and reproducible research workflows, and I also have hands-on experience with molecular laboratory techniques. Before my current focus, I worked on molecular dynamics simulations, Landsat-based land cover classification, and in silico vaccine design, which strengthened my interest in applying computational tools across data driven domain.
I’m currently an IMEC research intern, where I’m working on memory-architecture mapping for genomic workflows, connecting genomics pipelines with modern computing systems to better understand performance constraints and opportunities (e.g., bandwidth, latency, and energy).
