Tom de Man
Senior Research Associate
De Man is a computational biologist and applies bioinformatics algorithms to characterize the human microbiome and to study its role in public health. He also has an interest in the evolution and spread of antimicrobial resistance, particularly in Gram-negative bacteria that can cause infection in humans. He previously worked at the Centers for Disease Control and Prevention (CDC) in Atlanta, Georgia where he investigated hospital transmission dynamics of carbapenem-resistant Enterobacteriaceae (CRE). He also authored several publications about the molecular basis of antibiotic resistance in these type of hospital bacteria. Tom received both a Master’s and Bachelor’s of Science degree in Bioinformatics in the Netherlands from Wageningen University and HAN University of Applied Sciences, respectively.