How can we bring together the interpretability of theoretical physics and the power of data‑driven artificial intelligence in the design of drugs?
Ré (Rachael) Mansbach
- Canada Research Chair in Computational Physics/Biophysics
- Assistant Professor
- Department of Physics
- computational biophysics2
- molecular dynamics simulation2
- biophysical chemistry11
- protein engineering2
- algorithm design30
- machine learning58
- deep learning20
- data analysis6
- nanoscience21
- organic nanoelectronics2
- optoelectronics4
- drug discovery12
- hybrid antibiotic design
- antimicrobial peptides3
- neurodegeneration8
- STEM education4
- curriculum development23
- toxin-based therapeutics
- statistical physics
- peptide design
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Valter Zazubovits
biophysics, solar energy, photosynthesis
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Claudine Gauthier
cerebral metabolic imaging, cerebral vascular imaging, BOLD-contrast imaging
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Deniz Meneksedag Erol
molecular dynamics simulation, computational biophysics, biomaterials
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Christine DeWolf
surfaces and interfaces, biochemistry of cell membranes, lipid monolayers as model systems
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Tien D. Bui
computer vision, biometrology, artificial intelligence (AI)
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Mahdi S. Hosseini
deep learning, computer vision, computational pathology
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Jason Bramburger
nonlinear dynamics, complex dynamic systems, bifurcation analysis
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Yan Liu
big data, distributed/parallel systems, deep learning
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Jun Cai
machine learning, distributed/parallel systems, energy efficiency
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Ingo Salzmann
organic semiconductors, surfaces and interfaces, materials science
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Laszlo Kalman
renewable energy, photosynthesis, biophysics
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Volker Haarslev
knowledge organization, artificial intelligence (AI), natural language processing (NLP)
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Pablo Bianucci
light-matter interactions, optical microresonators, light-emitting nanostructures
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Jamshid Etezadi-Amoli
multivariate statistics, business statistics, structural equation modeling
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Ali Akgunduz
aviation industry, air traffic control, greener aviation
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Brandon Findlay
drug discovery, directed evolution, metabolic engineering
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Jia Yuan Yu
data science, decision theory, machine learning
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Paula Lago
healthcare information systems, ubiquitous and pervasive computing, internet of things (IoT)
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Moussa Tembely
numerical simulation, multiphase flows, computational fluid dynamics
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Essam Mansour
distributed/parallel systems, web data management, large-scale analytics on strings
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Salim Lahmiri
artificial intelligence (AI), data science, predictive analytics
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Mirco Ravanelli
deep learning, conversational AI, speech processing
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Yang Wang
computer vision, machine learning, deep learning
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Gabriel Vigliensoni
music production technologies, machine learning, deep learning
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Yiming Xiao
bioimaging, biomedical engineering, image processing
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Hamid Taghavifar
connected autonomous vehicles (CAV), control systems, robotics
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Tanja Tajmel
STEM education, human rights, artificial intelligence (AI)
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Kaustubha Mendhurwar
computer graphics, 3D motion capture, 3D data acquisition technologies
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Abdelhak Bentaleb
multimedia systems and communication, video streaming architecture, access networks
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Jun Yan
smart grids, cyberphysical security, machine learning
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Simone Brugiapaglia
data science, computational mathematics, numerical analysis
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Nawwaf Kharma
synthetic biology, machine learning, biological computing
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Chun Wang
distributed/parallel systems, e-supply chains, scheduling
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Joanne L. Turnbull
enzymology, protein engineering, catalysis
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Louis A. Cuccia
supramolecular chemistry, protein-protein interactions, bioinspired engineering
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Brigitte Jaumard
autonomic networking, graph theory, operations research
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Thomas G. Fevens
bioimaging, deep learning, computer vision
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Christopher J. Wilds
nucleic acid chemistry, X-ray crystallography, organic synthesis
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Eugene Belilovsky
machine learning, deep learning, computer vision
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Mojtaba Kahrizi
nanosystems, quantum devices, MEMS/NEMS
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Gilles H. Peslherbe
nanoscience, quantum mechanics, computational chemistry