Trained as a population and evolutionary geneticist, Raman has extensive experience as a bioinformatician developing research hypotheses and computational pipelines to address the origin and the influence of genetic mutation on an observed trait. The output of his research has broader implications for biomedical advancement and biodiversity. Currently, he works with different sequencing technologies including long and short reads to develop computational pipelines or maintain existing tools for wider JAX communities. Raman is involved in data mining and exploration to detect a pattern providing new biological insights and provides scientific services including data quality control, platform evaluation, and troubleshooting.
View Raman Lawal on Research Gate