Summary
Ajit Nirmal is a cancer geneticist and data scientist with 10 years of experience probing the tumor ecosystem using high-throughput molecular and spatial omics. As Principal Investigator at Brigham and Women's Hospital and Assistant Professor at Harvard Medical School, he combines wet-lab expertise in genome editing and cellular gene therapy with computational skills in network-based and machine learning analysis of cancer transcriptomes. His PhD work produced novel immuno-subgroupings and predictive immune signatures across TCGA and other cohorts, and he developed graph-based algorithms and pipelines implemented in R and Python. He has a strong translational bent—observing, for example, treatment-associated shifts in the immune profile of ER+ breast cancer that correlated with response—and an eye for biosafety informed by deep sequencing of off-target genome edits. Trained across Edinburgh, UCL and Harvard, Ajit bridges mechanistic lab science and quantitative modeling to advance precision oncology.
10 years of coding experience
4 years of employment as a software developer
12th grade, Maths, physics, chemistry, biology., 12th grade, Maths, physics, chemistry, biology. at Hebron matriculation higher secondary school
Doctor of Philosophy (PhD), Genetics and Genomics, Doctor of Philosophy (PhD), Genetics and Genomics at The University of Edinburgh
B.Tech, Biotechnology, B.Tech, Biotechnology at Karunya university
Postdoctoral Fellow, Spatial Omics, Postdoctoral Fellow, Spatial Omics at Harvard Medical School
MS, Molecular medicine, MS, Molecular medicine at University College London, U. of London
Tamil, English