Use modern Python libraries and applications to solve real-world computational biology problems
Tiago Antao
BIRMINGHAM—MUMBAI
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Tiago Antao is a bioinformatician who is currently working in the field of genomics. A former computer scientist, Tiago moved into computational biology with an MSc in bioinformatics from the Faculty of Sciences at the University of Porto, Portugal, and a PhD on the spread of drug-resistant malaria from the Liverpool School of Tropical Medicine, UK. Post his doctoral, Tiago worked with human datasets at the University of Cambridge, UK and with mosquito whole-genome sequencing data at the University of Oxford, UK, before helping to set up the bioinformatics infrastructure at the University of Montana, USA. He currently works as a data engineer in the biotechnology field in Boston, MA. He is one of the co-authors of Biopython, a major bioinformatics package written in Python.
Urminder Singh is a bioinformatician, computer scientist, and developer of multiple open source bioinformatics tools. His educational background encompasses physics, computer science, and computational biology degrees, including a Ph.D. in bioinformatics from Iowa State University, USA.
His diverse research interests include novel gene evolution, precision medicine, sociogenomics, machine learning in medicine, and developing tools and algorithms for big heterogeneous data. You can visit him online at urmi-21.github.io.
Tiffany Ho works as a bioinformatics associate at Embark Veterinary. She holds a BSc from the University of California, Davis in genetics and genomics, and an MPS from Cornell University in plant breeding and genetics.
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