Karel Brinda
Karel Brinda, PhD
Research Fellow in Biomedical Informatics, Harvard Medical School
Research Associate, Harvard T.H. Chan School of Public Health
Mentor: Michael Baym, PhD

Karel Brinda is a postdoctoral research associate, working with Bill Hanage in the Center for Communicable Disease Dynamics at Harvard T.H. Chan School of Public Health and Michael Baym in the Department of Biomedical Informatics at Harvard Medical School. His research focuses on methods for rapid antibiotic resistance detection from point-of-care sequencing data obtained by mobile sequencing technologies.

Karel is the lead developer of RASE, ProPhyle, Ococo, RNFtools, SAMsift, ProphAsm, DyMas, and Disty McMatrixFace. He was also involved in the development of Blind Friendly Maps, ProPhex, Seed-Kraken, Seed-Jellyfish, and NanoSim-H.

Prior to joining Harvard, Karel received his PhD in computer science at Université Paris-Est and a master degree in mathematical computer science at the Czech Technical University in Prague.

RNF: a general framework to evaluate NGS read mappers.
Authors: Brinda K, Boeva V, Kucherov G.
Bioinformatics
View full abstract on Pubmed
Spaced seeds improve k-mer-based metagenomic classification.
Authors: Brinda K, Sykulski M, Kucherov G.
Bioinformatics
View full abstract on Pubmed