Find Academic Supervisors

• Aeroacoustics
• Fluid Mechanics
• Turbulence Modeling
• +5 more

Stéphane Moreau is a Tenured Full Professor in the Department of Mechanical Engineering at Université de Sherbrooke, Canada, where he has been faculty since 2009 (initially as Assistant Professor, then promoted to Full Professor in 2011). His research focuses on aeroacoustics, fluid mechanics, and turbomachinery noise prediction, with particular expertise in fan and propulsion system noise. He leads multiple research projects funded by NSERC, MITACS, and industry partners, and has established himself as a leading expert in computational aeroacoustics and noise reduction techniques. Dr. Moreau's academic credentials include: PhD in Science from Stanford University (1993) Master's Equivalent (Masters of Science) from École Nationale Supérieure d'Aéronautique et de l'Espace (1988) Bachelor's Equivalent (Diplôme d'ingénieur Grandes Ecoles) from École Nationale Supérieure d'Aéronautique et de l'Espace (1988) His research interests span fluid mechanics, turbulence modeling, and aeroacoustics, with a strong focus on noise prediction and reduction in turbomachinery systems. Dr. Moreau specializes in computational methods for predicting fan noise, aeroacoustic modeling of propulsion systems, and developing innovative noise control techniques for ventilation and cooling systems. His work combines advanced computational fluid dynamics with experimental validation to address real-world noise problems in aerospace and automotive applications. He has made significant contributions to understanding the mechanisms of tonal and broadband noise generation in low-speed fans and turbomachinery. Analysis of Dr. Moreau's recent publications reveals a strong focus on computational aeroacoustics using advanced numerical methods. His research has evolved from fundamental studies of airfoil noise to complex industrial applications involving fans, compressors, and propulsion systems. Recent work shows increasing integration of machine learning techniques with traditional computational methods, particularly for acoustic wave propagation and noise prediction. His research consistently bridges theoretical models with practical engineering applications, addressing both tonal and broadband noise mechanisms across various flow regimes. Dr. Moreau has received numerous scientific awards and recognitions: AIAA Associate Fellow Meilleure présentation SAE orale for paper "FEA Computations Applied to Engine Cooling Fans" Meilleur papier NAFEMS "Vers La Conception Robuste de Groupe Moto Ventilateurs de Refroidissement Moteur" Patent Award 2000 for "Ultra-slim fan range" Patent Award 2007 for "Quiet thick leading edge airfoil design for cooling fans" Prix ADRIQ recognizing best industry-researcher partnerships Dr. Moreau has secured substantial research funding through numerous grants totaling millions of dollars. His current projects include major NSERC Discovery Grants, Ontario Research Fund awards, and industry partnerships with companies like Valeo, Bell Helicopter, and Ziehl-Abegg. He leads the Industrial Chair in Aeroacoustics at Université de Sherbrooke and has established strong collaborations with international research groups. His research program supports numerous graduate students and postdoctoral fellows working on cutting-edge problems in computational aeroacoustics and noise control. Dr. Moreau leads a vibrant research group specializing in computational aeroacoustics and fluid dynamics at Université de Sherbrooke. His team operates advanced computational facilities for Large Eddy Simulation and other high-fidelity flow modeling techniques. The group maintains strong industry partnerships, particularly with aerospace and automotive companies seeking noise reduction solutions. They also collaborate with international research institutions on projects related to turbomachinery noise prediction and control.

Dennis MichaelsonView profile

Assistant Professor

• Renewable Energy Microgrids
• Small Modular Reactors
• Energy Management
• +4 more

Dennis Michaelson is an Assistant Professor in the Department of Electrical and Computer Engineering at Western University. He holds a Ph.D. in Power Systems Engineering (2017) and a B.A.Sc. in Automation Engineering (1993) from Simon Fraser University. Prior to his current role, he served as a Postdoctoral Associate and Research Engineer at Western University and held leadership positions in industry, including Vice-President of Engineering at EK3 Technologies. Education: Ph.D. (Western University, 2017), B.A.Sc. (Simon Fraser University, 1993) Leadership: Chair of IEEE London Section and IEEE Power and Energy Society London Chapter Research Interests: Renewable energy microgrids and energy storage Small modular nuclear reactors for sustainable energy Embedded real-time systems for power management Mobile robotics and complex systems engineering Advocacy for Indigenous engineering education Publication Trends: Dennis's research focuses on integrating renewable energy with nuclear systems, optimizing microgrid stability, and advancing embedded control strategies. His work spans theoretical modeling (e.g., droop control, adaptive virtual impedances) and applied engineering (e.g., vehicular PV systems, fault detection patents). Professional Contributions: He serves on the Canadian Indigenous Advisory Council to the American Indian Science and Engineering Society and holds two U.S. patents related to embedded systems and media content display technologies.

Sanjeev BediView profile

Professor

• 5-axis Surface Machining
• Flank Milling
• Tool Positioning Methods
• +9 more

Sanjeev Bedi is a Professor in the Department of Mechanical and Mechatronics Engineering at the University of Waterloo, holding the position of NSERC Design Chair and serving as Director of the IDEAs Clinic. He founded both the Engineering IDEAs Clinic and the NSERC Chair in Immersive Design Engineering Activities (IDEAs). Bedi leads the 5-Axis Surface Machining Lab and previously served as Director of Mechatronics Engineering from 2006 to 2012. He is also a founding faculty member of the Mechatronics Engineering Program at Waterloo. Education: Doctorate in Engineering (1987), University of Victoria, Victoria, BC Master's in Mechanical Engineering (1984), University of British Columbia, Vancouver, BC Bachelor's in Mechanical Engineering (1982), Indian Institute of Technology, Kanpur Professor Bedi's research focuses on advanced manufacturing techniques, particularly 5-axis machining, tool path strategies, NC controller design, and surface machining methods. His expertise spans flank milling, gouge detection and avoidance mechanisms, automated polishing, complex curve machining methods (including Principle Axis Method and Multi-Point Method), machined surface evaluation, and surface finish estimation. He has developed innovative approaches like the Drop and Tilt Method for tool positioning in 5-axis machining. His research bridges theoretical computational geometry with practical manufacturing applications, addressing challenges in precision machining of complex surfaces. Analysis of his recent publications reveals a strong focus on computational methods for 5-axis machining, particularly for tensor product surfaces and triangulated models. His work consistently addresses practical manufacturing challenges while developing novel geometric algorithms. In recent years, he has expanded his research scope to include engineering education, developing innovative approaches to design education and multidisciplinary teamwork training. As Director of the IDEAs Clinic, Bedi has overseen significant educational initiatives with over 24,000 student contacts and employment of more than 100 co-op students, 10+ research assistants, and 5 sessional lecturers. The clinic has sponsored five courses including engineering and art, experiential engineering modules for MEng students, and practical FEA courses for graduate students. Professor Bedi has taught several courses in recent years including MTE 100 (Mechatronics Engineering, 2020-2024), MTE 380 (Mechatronics Engineering Design Workshop, 2024), and MTE 481 (Mechatronics Engineering Design Project, 2022-2023), demonstrating his ongoing commitment to engineering education and student development.

Hyock Ju KwonView profile

Professor

• Artificial Intelligence
• Machine Learning
• Manufacturing Engineering
• +5 more

Hyock Ju Kwon is a Professor in the Department of Mechanical and Mechatronics Engineering at the University of Waterloo . Active in research and teaching, he focuses on integrating Artificial Intelligence (AI) with manufacturing practices and biomedical ultrasound techniques . Doctorate in Mechanical Engineering, University of Alberta (2007) Master's in Mechanical Engineering, University of Alberta (2003) Master's in Mechanical Engineering, KAIST (1988) Bachelor's in Mechanical and Design Engineering, Seoul National University (1985) His research spans AI and machine learning , with applications in manufacturing (robotic assembly, NDT, predictive maintenance) and biomedical fields (therapeutic ultrasound, tactile neuroimaging). He leads the AI for Manufacturing Laboratory , emphasizing digital twin and multi-physics modeling . The 15 most recent articles reflect trends in AI-driven manufacturing , ultrasound diagnostic/therapeutic systems , and robotic path planning . Keywords include machine learning , medical imaging , and fluid dynamics , with subfields like predictive maintenance , nanoparticle-enhanced therapy , and topological navigation . As a Sole-Supervisory Privilege Status (SSPS) holder, he supervises graduate students. Teaching includes courses like ME 212 - Dynamics and ME 526 - Fatigue and Fracture Analysis . The AI for Manufacturing Laboratory develops cutting-edge technologies for industrial AI , collaborating with Korean municipal governments on large-scale projects. Areas include robotic assembly , non-destructive testing , and machine condition monitoring .

Gennady PekhimenkoView profile

Associate Professor

• Computer Architecture
• Systems Research
• Applied Machine Learning
• +3 more

Dr. Gennady Pekhimenko is an Associate Professor in the Department of Computer Science and cross-appointed to the Electrical and Computer Engineering department at the University of Toronto. He leads the EcoSystem research group and serves as CEO/Co-Founder of CentML, with affiliations at CIFAR and Vector Institute. PhD in Computer Science from Carnegie Mellon University (2016) His research spans computer architecture, systems optimization, and applied machine learning, with a focus on memory hierarchy efficiency, hardware acceleration, and compiler design. Recent work emphasizes large language model training, GPU virtualization, and processing-in-memory systems. Key article trends include: 1) Memory optimization for transformers and sparse models (2024-2025), 2) GPU resource management (2022-2024), 3) Prompt programming languages (2025), and 4) Deep learning compilation frameworks (2021-2023). Major Awards: NVIDIA Graduate Fellowship, Microsoft Research PhD Fellowship, ISCA Hall of Fame, AWS/Google/VMware research grants Key Collaborations: Onur Mutlu (CMU), Todd Mowry (CMU), Vector Institute researchers

Arun RamchandranView profile

Professor

• Complex Fluids
• Suspensions
• Microfluidics
• +7 more

Professor Arun Ramchandran, holding the Canada Research Chair in Engineered Soft Materials and Interfaces at the University of Toronto's Faculty of Applied Science and Engineering , leads the Laboratory of Complex Fluids . His research bridges fundamental and applied studies of particulate suspensions, with applications spanning industrial processes and biomedical systems. B. Chem. Eng. (Institute of Chemical Technology, Mumbai) Ph.D. (University of Notre Dame) Post-doctoral scholar (University of California, Santa Barbara) His work focuses on understanding and predicting macroscale properties of suspensions through microscale interactions, with projects in oil sands extraction , drug delivery systems , microvascular occlusion models , and polymer blending . All projects integrate analytical modeling , numerical simulations , and experimental device fabrication . Recent publications highlight his expertise in drop coalescence , interfacial transport phenomena , and hydrogel behavior under confinement . His group has developed innovative techniques for microfluidic droplet generation and mass transfer analysis in complex flows . Humboldt Research Fellowship (2021-2022) NSERC Discovery Accelerator Supplement (2018-2020) Ontario Early Researcher Award (2014) North American Mixing Forum Early Career Award (2013) As Associate Chair for Graduate Studies, he actively mentors students and maintains a diverse research team working on suspension dynamics , particle-surface interactions , and soft matter engineering . Current projects include creating polymer-drug microparticles and studying CO₂ dissolution in switchable solvents .

Miranda Holmes-CerfonView profile

Professor

• Soft Matter Physics
• Statistical Physics
• Nanoscale Systems
• +4 more

Dr. Miranda Holmes-Cerfon is a Professor in the Department of Mathematics at the University of British Columbia's Faculty of Science. Her research program focuses on the intersection of soft matter physics and statistical physics, with significant applications in designing nanoscale systems including vaccine delivery mechanisms, nanorobots for bloodstream surgery, battery components, and super resolving microscope elements. Research Interests: Dr. Holmes-Cerfon specializes in nanoscale systems design , DNA-coated colloids , and self-assembly processes . Her work bridges theoretical mathematics with practical applications through stochastic analysis and computational methods to understand diffusion processes and molecular interactions at the nanoscale. She has developed innovative models like the "nanocaterpillar" to describe particle motion with random "sticky feet" interactions. Analysis of her recent publications reveals a clear trajectory toward understanding complex motion and assembly at the nanoscale. Her work spans from theoretical frameworks in rigidity theory to practical applications in DNA-coated colloids, with increasing emphasis on hierarchical self-assembly and high-dimensional computational methods. The interdisciplinary nature of her research connects mathematics, physics, and nanotechnology through sophisticated modeling of stochastic processes. While specific awards weren't documented in the available information, Dr. Holmes-Cerfon's extensive publication record in high-impact journals demonstrates significant recognition in mathematical physics and nanoscale systems research. Her research program likely involves mentoring graduate students and postdoctoral researchers in computational mathematics and statistical physics. The sophisticated mathematical techniques in her work, particularly Monte Carlo methods on manifolds and stochastic analysis, suggest involvement in computational mathematics grants and interdisciplinary collaborations with physicists and nanotechnologists. Dr. Holmes-Cerfon's laboratory focuses on theoretical and computational approaches to nanoscale systems, developing mathematical frameworks to predict and control molecular self-assembly. Her work on DNA-coated colloids represents a significant contribution to programmable matter research, with potential applications in targeted drug delivery and nanoscale manufacturing.

Suresh SivanandamView profile

Associate Professor

• Galaxy formation and evolution
• adaptive optics
• optical/IR instrumentation

Suresh Sivanandam is an Associate Professor and Director of the Dunlap Institute for Astronomy & Astrophysics at the University of Toronto, where he is affiliated with the Faculty of Arts & Science and the Department of Astronomy & Astrophysics. He earned his Ph.D. from the University of Arizona in 2010. Dr. Sivanandam's research focuses on galaxy formation and evolution, adaptive optics, and optical/IR instrumentation. His work bridges theoretical astrophysics with cutting-edge technological development, particularly in the design and implementation of advanced astronomical instruments. He has made significant contributions to the development of adaptive optics systems that enhance the capabilities of major observatories worldwide. His recent publication record demonstrates a strong emphasis on next-generation astronomical instrumentation, particularly in adaptive optics technology, exoplanet characterization systems, and UV/optical imaging platforms. His work spans from theoretical control systems for telescope stabilization to practical implementations of new camera technologies and wavefront sensing systems. A notable pattern in his research is the focus on multi-institutional collaborations, particularly with major observatories like Gemini and MMT. As Director of the Dunlap Institute, Dr. Sivanandam oversees a research environment that includes over 50 faculty, postdocs, students and staff dedicated to innovative technology, groundbreaking research, world-class training, and public engagement in astronomy and astrophysics.

Robert PellerinView profile

Professor

• Industrial engineering
• Management information systems
• Logistics
• +7 more

Robert Pellerin is a Full Professor in the Department of Mathematics and Industrial Engineering at Polytechnique Montréal, where he has established himself as a leading expert in Industry 4.0, digital transformation, and production management systems. With over three decades of academic experience, he holds the Jarislowsky/AtkinsRéalis Research Chair in International Project Management and maintains active affiliations with multiple research centers including SAGIP, CIRODD, Laboratoire Poly-Industries 4.0, IVADO, GMT, and CIRRELT. His research focuses on the industry of the future and digital society, with particular emphasis on Industry 5.0 (human-centered Industry 4.0 practices), real-time production management, project planning and control, management information systems (ERP, MES, PLM), process reengineering, and digital transformation. Professor Pellerin's work bridges theoretical research with practical industrial applications, addressing critical challenges faced by manufacturing SMEs in their digital transformation journeys. His extensive publication record includes 347 scholarly works, with recent research trending toward human-centered AI applications in manufacturing, digital twin technology for warehouse and mining operations, and optimization of production planning under uncertainty. His scholarly impact is evidenced by multiple top-cited and top-viewed papers in leading journals such as the Journal of Intelligent Manufacturing and International Journal of Production Research. Selected Awards and Distinctions: Best Student Paper Award 2024, Administrative Sciences Association of Canada Conference Best paper at the 34th European Modeling & Simulation Symposium (2022) Multiple Top cited/viewed paper awards in leading journals (2018-2020) Excellence in Teaching Award from Polytechnique Montréal (2012) Best Professor of Industrial Engineering for Graduate Studies Award (2011) Majdi Najm Award from the SAP University Alliance (2007) Professor Pellerin has supervised 12 PhD students and 49 Master's students to completion, with recent theses focusing on Industry 4.0 implementation in SMEs, digital transformation project management, and human-AI interaction in manufacturing settings. His research is supported through multiple collaborative projects with industry partners, particularly in the mining, construction, and manufacturing sectors. He has developed innovative frameworks for business process reengineering and project portfolio management that have been adopted by several industrial organizations. As a member of the Laboratoire Poly-Industries 4.0 and other research centers, he leads interdisciplinary teams exploring the integration of emerging technologies in production systems. His current work focuses on developing human-centered AI solutions that enhance rather than replace human capabilities in manufacturing environments, aligning with the emerging Industry 5.0 paradigm.

Louis-Martin RousseauView profile

Professor

• Operational Research
• Logistics
• Algorithms
• +4 more

Louis-Martin Rousseau is a Full Professor in the Department of Mathematics and Industrial Engineering at Polytechnique Montréal. He holds the Tier 1 Canada Research Chair in Healthcare Analytics and Logistics (HANALOG) and manages the Combinatorial Optimization and Reasoning in Artificial Intelligence Laboratory (CORAIL). He is also a member of the Interuniversity Research Centre on Enterprise Networks, Logistics and Transportation (CIRRELT) and the Institute for Data Valorization (IVADO). B.Sc., Ph.D. from Université de Montréal His research focuses on hybridizing classical operations research techniques with constraint programming (AI methods) for applications in transport logistics, schedule optimization, and healthcare resource management. He has pioneered work in healthcare analytics, particularly in liver transplantation survival prediction (CASE method), radiation therapy treatment planning, and pandemic triage protocols. Recent publications highlight his work in deep reinforcement learning for inventory control, dual bound generation in constraint programming, and dynamic homecare scheduling. Keywords include Healthcare Analytics , Machine Learning , Combinatorial Optimization , and Logistics . Scientific awards include the 2019 Outstanding Achievement Award from the IEOM Society International. He supervises 5 doctoral, 2 master's, and 2 postdoctoral researchers, with a total of 23 PhD and 30 master's theses completed under his guidance since 2003. His lab (CORAIL) collaborates with CIRRELT and IVADO on problems involving synchronized vehicle routing, stochastic programming, and machine learning integration. Media appearances discuss healthcare system reforms, including private mini-hospitals and the Santé Québec agency's impact on patient access.

Cristiano LossView profile

Associate Professor

• Timber Engineering
• Engineered Wood Solutions
• Hybrid Steel-Timber Structures
• +6 more

Cristiano Loss is an Associate Professor of Timber Engineering in the Department of Wood Science , Faculty of Forestry , University of British Columbia . He concurrently serves as Associate Chair in Wood Building Design and Construction , leads the UBC Timber Engineering and Applied Mechanics (TEAM) group, and directs the Sustainable Engineered Structural Solutions Laboratory . Research Interests: Timber and engineered wood structural design Hybrid steel-timber building systems Seismic performance of mass-timber structures Vibration serviceability of timber floors Cross-laminated timber (CLT) assemblies Prefabricated and industrialized timber systems Over the past decade, Professor Loss has published extensively on advanced analytical and experimental techniques for evaluating the structural, dynamic, and seismic behavior of timber-based systems. His recent work leverages high-fidelity finite-element modelling, genetic algorithm optimization, and machine learning to predict and enhance the performance of connectors, shear walls, and floor diaphragms in mid- to high-rise timber buildings. Scientific Awards & Recognition: While the provided text does not enumerate specific awards, Professor Loss’s prolific publication record and leadership roles at UBC indicate substantial peer recognition in the field of timber engineering. Contact & Resources: Email: cristiano.loss@ubc.ca Office: Forest Sciences Centre 4032, 2424 Main Mall, Vancouver, BC V6T 1Z4, Canada Phone: 604-822-6716 Web: UBC TEAM Group Profiles: ResearchGate , LinkedIn

Werner AntweilerView profile

Associate Professor

• Environmental Economics
• Energy Economics
• International Trade Policy
• +5 more

Werner Antweiler is an Associate Professor at the Sauder School of Business, University of British Columbia, specializing in environmental economics, energy economics, and international trade policy. He holds the Chair in International Trade Policy and serves as Chair of the Strategy and Business Economics Division. His affiliations include the Center for Transportation Studies and the Future Minerals Initiative. Doctor of Philosophy, University of Toronto (1996) Diplom-Volkswirt, Universität zu Köln (1990) His research focuses on the intersection of environmental policy, energy markets, and trade dynamics, with specific expertise in electricity storage economics, renewable energy integration, and pollution permit trading systems. He has contributed to understanding hydrogen trade, carbon taxation, and the impact of fuel taxes on transportation behavior. Recent work explores the viability of energy-only markets with renewables and storage, hydrogen trade dynamics, and the long-term effects of renewable energy adoption. He serves as Associate Editor for Resource and Energy Economics and contributes to interdisciplinary research initiatives. Publication of Enduring Quality (PEQ) Award, 2012 Antweiler teaches courses on environmental economics, global trade, and integrated economies. His leadership roles include Treasurer of the Canadian Economics Association (2018–2021) and community governance positions. He maintains active software development collaborations and public data platforms for energy markets.

Mohsen SadatsafaviView profile

Associate Professor

• Epidemiology
• Biostatistics
• Respiratory Research
• +7 more

Mohsen Sadatsafavi is an Associate Professor at The University of British Columbia's Faculty of Pharmaceutical Sciences, where he serves as Associate Director of Research for the Collaboration for Outcomes Research and Evaluation. He holds additional affiliations with the Centre for Heart Lung Innovation, the Division of Respiratory Medicine at UBC, and the Centre for Clinical Epidemiology and Evaluation. As principal investigator of the Respiratory Evaluation Sciences Program (RESP), he leads a multidisciplinary research team focused on quantitative approaches to respiratory disease management. Dr. Sadatsafavi's research interests center on predictive analytics, clinical prediction modeling, and epidemiological modeling with a focus on chronic respiratory diseases, particularly asthma and COPD. His work employs a variety of quantitative techniques to project outcomes of medical decisions at both the individual patient level and population level. His lab specializes in decision analysis, clinical prediction modeling, health economics, and outcomes research in respiratory medicine. Analysis of Dr. Sadatsafavi's recent publications reveals a strong focus on precision medicine approaches for respiratory diseases, with particular emphasis on prediction modeling for asthma and COPD exacerbations, health economic evaluations, and methodological advancements in clinical prediction. His work increasingly incorporates advanced statistical techniques, machine learning approaches, and real-world evidence to address critical questions in respiratory medicine. Scientific Awards: New Investigator Award from the Canadian Institutes of Health Research (CIHR) (2015-2020) Scholar Award from the Michael Smith Foundation for Health Research (MSFHR) (2015-2020) Bisby Fellowship Prize from the Canadian Institutes of Health Research (CIHR) (2009-2012) Early Research Leaders Initiative (ERLI) Award (2015-2018) Dr. Sadatsafavi has successfully secured multiple research grants including funding from the Canadian Foundation for Innovation (CFI) for the PRogrammable Interface for Statistical & Simulation Models (PRISM) project, and several Canadian Institutes of Health Research (CIHR) grants focused on prediction tools for COPD exacerbations and respiratory evaluation sciences. His research group, the Respiratory Evaluation Sciences Program (RESP), mentors graduate students including PhD candidates like Amin Adibi who completed a dissertation on race and spirometry. The RESP lab maintains active collaborations through the Peer Models Network and works closely with clinical partners across respiratory medicine. Their research infrastructure includes specialized software tools like iPRESS for implementing prediction models in clinical practice. The team regularly contributes to major clinical practice guidelines, including the American Thoracic Society Clinical Practice Guideline on Pharmacologic Management of COPD.

Antony HodgsonView profile

Professor

• Biomedical Engineering
• Medical Robotics
• Surgical Navigation
• +4 more

Antony Hodgson is a Professor in the Department of Mechanical Engineering at the University of British Columbia, Faculty of Applied Science. He serves as Associate Head, Teaching, and co-leads the Surgical Technologies Laboratory. Education: B.A.Sc., M.A.Sc. - University of British Columbia Ph.D. - MIT and Harvard University Postdoctoral Fellowship - Clemson University Research Interests: Computer-Assisted Orthopaedic Surgery Medical Robotics and Surgical Navigation Biomechanics and Image Processing Surgical Simulators and Skill Assessment Neuromotor Control and Clinical Workflow Optimization Scientific Awards: Excellence in Computer Assisted Orthopaedic Surgery Award (2017) Best Technical Poster Award, ICASS (2013) Collaborations: Actively conducts interdisciplinary research and welcomes collaborations with clusters, grants, and undergraduate researchers.

Rebecca ToddView profile

Associate Professor

• Cognitive Neuroscience
• Human Cognition and Emotion
• Neurophenomenology
• +6 more

Rebecca Todd is an Associate Professor in UBC's Department of Psychology within the Faculty of Arts, and a member of the Centre for Brain Health. She specializes in cognitive neuroscience with a focus on the interaction between emotion and cognition in health and psychopathology. Her research employs brain imaging methods and laboratory experiments to investigate how we process affective salience and how this influences perception, learning, and memory. Dr. Todd earned her PhD in Developmental Science and Neuroscience from the University of Toronto in 2008. Prior to her academic career in neuroscience, she was a contemporary dance choreographer and journalist, which has informed her unique interdisciplinary approach to studying cognition through movement and interaction. Her research program focuses on neurocognitive processes underlying the interaction between human emotion and cognition. She investigates how we process affective salience (emotional/motivational importance) of objects and events, and how this influences perception, learning, and memory. Her work examines individual differences in how we filter the world to perceive specific categories of salient events (threatening vs. rewarding), how such filters develop over time, and their consequences for emotional health. Specific programs include investigation of neurocognitive processes underlying effects of acute stress on attention, learning, and memory, and attentional biases predicting treatment outcomes in depression. Dr. Todd's recent publications show an evolving research trajectory that increasingly integrates participatory sensemaking, ecological approaches to cognition, and multidisciplinary perspectives. Her work spans cognitive neuroscience, clinical applications, dance cognition, and embodied approaches to understanding how we interact with our environment. The breadth of her research demonstrates a commitment to understanding cognition as embedded in real-world contexts rather than isolated laboratory settings. Michael Smith Foundation for Health Research Scholar Award (2017) CIHR New Investigator Award (2016) Dr. Todd leads the Motivated Cognition Lab at UBC, where she employs a multi-method approach including EEG, fMRI, psychophysiology, eye tracking, and genotyping to assess how common genetic variations interact with life experience to shape brain activity. Her lab investigates how these interactions influence emotional filters for perceiving and remembering. She is affiliated with MATRIX-N: Multidisciplinary Alliance for Translational Research and Innovation in Neuropsychiatry, reflecting her commitment to interdisciplinary collaboration. While she is not currently accepting graduate students, her research continues to advance understanding of the neurocognitive basis of emotional experience and its impact on cognition.