How can we make life science a predictive science?
Michael T. Hallett
- Canada Research Chair in Bioinformatics Algorithms
- Professor
- Department of Biology
- computational biology3
- bioinformatics17
- systems biology4
- machine learning41
- models of human disease4
- stochastic processes7
- disease mechanisms9
- genomics30
- synthetic biology19
- cancer7
- biomarkers and diagnostics15
- genetics16
- gene expression12
- molecular and cellular biology27
- drug discovery10
- chemical biology4
- RNAi2
- epigenetics2
- proteomics15
- data science32
-
Alisa Piekny
cytoskeleton regulation, cytokinesis, mitosis
-
Malcolm Whiteway
candida albicans, biomedical engineering, cell cycle control
-
Vincent Martin
synthetic biology, bioproduct development, microbial genomics
-
Laurent Potvin-Trottier
synthetic biology, systems biology, microfluidics
-
Andrew Delong
machine learning, deep learning, genomics
-
Aashiq H. Kachroo
yeast systems genetics, synthetic biology, systems biology
-
Adrian Tsang
genomics, enzymes for industrial processes, fungal genomics
-
David Kwan
synthetic biology, molecular and cellular biology, directed evolution
-
Brandon Findlay
drug discovery, directed evolution, metabolic engineering
-
Steve Shih
microfluidics, synthetic biology, biofuels and biochemicals
-
Luc Varin
plant molecular genetics, plant growth and development, stress response signaling pathways
-
Chiara Gamberi
RNA biology, messenger RNA translation, Drosophila
-
Selvadurai Daya Dayanandan
evolutionary genomics, molecular systematics, population genetics
-
Patrick Gulick
plant abiotic stress tolerance, gene regulation, stress response signaling pathways
-
Michael Sacher
vesicle recognition, biochemistry of cell membranes, protein complexes
-
Lea Popovic
probability theory, randomness in the living world, mathematical biology
-
Isabelle Benoit
fungal physiology, fungal genomics, lignocellulosic biomass
-
Madoka Gray-Mitsumune
pedagogy, educational technologies, academic integrity
-
Reginald Storms
renewable energy, biofuels and biochemicals, bioremediation strategies
-
Nawwaf Kharma
synthetic biology, machine learning, biological computing
-
Paul Joyce
tRNA nucleotidyltransferase, biochemistry of cell membranes, protein targeting
-
Gregory Butler
bioinformatics, big data, data analytics
-
Ann M. English
cell signaling, molecular and cellular biology, peroxidases
-
William Zerges
photosynthesis, chlamydomonas reinhardtii, chloroplast biogenesis
-
Chris Wilds
nucleic acid chemistry, X-ray crystallography, organic synthesis
-
Vladimir Titorenko
aging (ageing), mechanics of apoptosis, anti-aging molecules
-
Cody Hyndman
mathematical finance, computational finance, machine learning
-
David Walsh
aquatic ecology, molecular and cellular biology, evolutionary biology
-
Linda Booij
serotonin, early brain development, epigenetics
-
Jin Suk Lee
cell signaling, peptide signals, plant biology
-
Leila Kosseim
computational linguistics, natural language processing, artificial intelligence
-
Justin Powlowski
environmental chemistry, biomass-degrading enzymes, bioremediation strategies
-
Dajana Vuckovic
metabolomics, mass spectrometry, solid-phase microextraction
-
Christophe Grova
neuroimaging, bioimaging, biomedical engineering
-
Yogendra P. Chaubey
statistical methodology, linear models, statistical modeling
-
Jia Yuan Yu
data science, decision theory, machine learning
-
Mohamed Ouf
green buildings, occupant behavior, energy modeling and optimization
-
Jun Cai
machine learning, distributed/parallel systems, energy efficiency
-
Sabine Bergler
affect, artificial intelligence, natural language processing
-
Mohsen Farhadloo
machine learning, data mining, text analytics
-
Essam Mansour
distributed/parallel systems, web data management, large-scale analytics on strings
-
David Secko
science/technology communication, role of journalism, new models of journalism
-
Christopher Brett
lysosome, extracellular vesicles, aging (ageing)
-
Pat Forgione
organic chemistry, drug discovery, greener cross-coupling reactions
-
Salim Lahmiri
artificial intelligence, data science, predictive analytics
-
Tristan Glatard
big data, data analytics, distributed/parallel systems
-
Andreas Bergdahl
atherosclerosis, cardiovascular health, human physiology
-
Sudhir Mudur
computer graphics, 3D digital imaging, 3D data acquisition
-
Jamshid Etezadi-Amoli
multivariate statistics, business statistics, structural equation modeling
-
Peter Darlington
immunology, immune function, T cell biology
-
Cameron D. Skinner
gestational diabetes, amniotic fluid bioanalysis, bioanalytical chemistry
-
Yan Liu
big data, distributed/parallel systems, deep learning
-
Simone Brugiapaglia
data science, computational mathematics, compressed sensing
-
Volker Haarslev
knowledge organization, artificial intelligence, natural language processing
-
Peter D. Pawelek
siderophore-mediated iron uptake, bacterial iron uptake, bacterial pathogenesis
-
Jung Kwon (John) Oh
biomedical engineering, materials science, biomacromolecules
-
Sana Jahanshahi-Anbuhi
biosensors, biomarkers and diagnostics, bioactive paper devices (µPADs)
-
Krzysztof Dzieciolowski
business analytics, data science, artificial intelligence
