Research Fellows
Anupama Yadav
Research Fellow
education
PhD, Tata Institute of Fundamental Research 2016
B.S., University of Delhi 2010
contact Info
Anupama_Yadav@dfci.harvard.edu
Having lived in multiple locations in the culturally and geographically diverse India, variation has been a constant presence in my life. Traveling to different continents simply emphasized the abundance of this variation. In my Ph.D., I studied the genetic regulation of this high phenotypic diversity in ecologically and geographically diverse yeast populations, and identified gene-gene and gene-environment interactions which contribute to their robustness and plasticity.
As an academic, I am interested in applying evolutionary concepts and tools to better understand the genotype-phenotype map and address questions of current relevance. Specifically, I am interested in understanding how the vast genetic diversity present in human populations modifies the molecular interactome, and utilize this information to study long standing questions of incomplete penetrance of variants, differential susceptibility to infections, differential sensitivity to therapeutics etc.
Research Fellow
education
PhD, Tata Institute of Fundamental Research 2016
B.S., University of Delhi 2010
contact Info
Anupama_Yadav@dfci.harvard.edu
Having lived in multiple locations in the culturally and geographically diverse India, variation has been a constant presence in my life. Traveling to different continents simply emphasized the abundance of this variation. In my Ph.D., I studied the genetic regulation of this high phenotypic diversity in ecologically and geographically diverse yeast populations, and identified gene-gene and gene-environment interactions which contribute to their robustness and plasticity.
As an academic, I am interested in applying evolutionary concepts and tools to better understand the genotype-phenotype map and address questions of current relevance. Specifically, I am interested in understanding how the vast genetic diversity present in human populations modifies the molecular interactome, and utilize this information to study long standing questions of incomplete penetrance of variants, differential susceptibility to infections, differential sensitivity to therapeutics etc.
Luke Lambourne
Research Fellow
education
PhD, University College London 2014
M.Phys., University of Warwick 2010
contact Info
luke_lambourne@dfci.harvard.edu
I’m a computational biologist, interested using the huge amount of information generated by high-throughput systematic protein-level experiments in order to answer biological questions. I build custom statistical models based on details of the experiment in order to disentangle the variety of different factors that underlie the data. Currently, I’m working on the human reference interactome project, where I’m modeling the variance of confidence and ease of detection of interactions within the dataset.
Research Fellow
education
PhD, University College London 2014
M.Phys., University of Warwick 2010
contact Info
luke_lambourne@dfci.harvard.edu
I’m a computational biologist, interested using the huge amount of information generated by high-throughput systematic protein-level experiments in order to answer biological questions. I build custom statistical models based on details of the experiment in order to disentangle the variety of different factors that underlie the data. Currently, I’m working on the human reference interactome project, where I’m modeling the variance of confidence and ease of detection of interactions within the dataset.