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Jackie Chit Kit Cheung is an Associate Professor in the School of Computer Science at McGill University, where he co-directs the Reasoning and Learning Lab. He holds the Canada CIFAR AI Chair and serves as an Associate Scientific Co-Director at the Mila Quebec AI Institute. He is also a consulting researcher at Microsoft Research Montreal. Academic Background: Ph.D. in Computer Science, University of Toronto (2010–2014) M.Sc. in Computer Science, University of Toronto (2008–2010) B.Sc. (Honours) in Computer Science, minors in Linguistics and German, University of British Columbia (2004–2008) Research Interests: Jackie Cheung's research lies at the intersection of natural language processing, machine learning, and cognitive science. He focuses on natural language generation , automatic summarization , commonsense and pragmatic reasoning , and the evaluation of NLP systems . His work aims to build language models that reflect real-world structure and reasoning, with applications in health, education, and language revitalization. He is particularly interested in how implicit meaning is processed in context, a core concern in linguistic pragmatics. Publication Trends: His recent publications (2024–2025) show a strong emphasis on evaluation methodologies (e.g., COSMIC, ECBD), hallucination and factuality in language models, coreference and reasoning , and long-context modeling . He frequently collaborates across institutions and integrates insights from linguistics and psychology into NLP system design and analysis. Scientific Awards: Best Paper Award, ACL 2018 Outstanding Paper Award, NAACL 2018 Student Research Workshop SAC Award, ACL 2024 (for COSMIC) Best Poster Award, CMDO AI-Health Symposium 2024 Advising and Grants: He advises a large and diverse group of graduate students, including PhD and Master’s candidates, often in co-supervision with other faculty. His group has received support from major AI and health research initiatives, including CIFAR and Mila. He has trained alumni who have gone on to faculty and industry research positions. He has served in leadership roles in top NLP conferences, including as Senior Area Chair, Workshop Chair, and Program Chair of Canadian AI 2018. Labs and Teams: He co-directs the Reasoning and Learning Lab at McGill and is deeply involved with Mila – Quebec AI Institute . He founded the NLP Reading Group at McGill, which brings together researchers from computer science, linguistics, and information studies to discuss theoretical and applied NLP topics.

• Natural Language Processing
• Natural Language Generation
• Automatic Summarization
• +12 more

Ian Goldberg is a Professor at the Cheriton School of Computer Science , University of Waterloo, Canada. He holds the Canada Research Chair in Privacy Enhancing Technologies and leads the Cryptography, Security, and Privacy (CrySP) group . He is affiliated with the Cybersecurity and Privacy Institute and the Institute for Quantum Computing . Research Focus: Security, privacy, and privacy-enhancing technologies (PETs) for the Internet, including Off-the-Record (OTR) Messaging , censorship resistance , private information retrieval , and zero-knowledge proofs . Recent Publications: His work addresses metadata protection , deniable authentication , and secure multi-party computation , with applications to anonymous communication and censorship resistance. Scientific Awards: Canada Research Chair in Privacy Enhancing Technologies Students: He advises current and former PhD/Master’s students in projects like Lox , PRSONA , Walkie-Talkie , and SkypeMorph . Notable advisees include Sajin Sasy (Privacy-Preserving Communications), Justin Tracey (PETs Development), and Tao Wang (Website Fingerprinting Defenses). Labs & Teams: Goldberg is a core member of the CrySP group and contributes to the Tor Project and Off-the-Record Messaging open-source initiatives. His research bridges theoretical and applied cryptography, with deployments in real-world systems like Tor and PIR protocols.

• Security
• Privacy
• Privacy-Enhancing Technologies (PETs)
• +5 more

Claire Battershill is an Assistant Professor jointly appointed in the Faculty of Information and the Department of English at the University of Toronto. She holds a PhD from the University of Toronto and a BA (Hons) from the University of Oxford. Her research focuses on the history and future of the book, with a particular emphasis on feminist experimental publishing, literary aesthetics, and 20th/21st-century publishing practices. She is Co-Director of the Modernist Archives Publishing Project (MAPP), a critical digital archive of early 20th-century publishers’ records, and Co-Creator of the SSHRC-funded 'Make Believe' research-creation project. Her publications include Women and Letterpress Printing: Gendered Impressions (2022) and Using Digital Humanities in the Classroom (2022). Dr. Battershill has held prestigious roles such as Wendy M. Cecil Professor in VicOne at Victoria College and Fellow of the Royal Historical Society. She has secured grants including the SSHRC Impact Award (2017) and funding from the Canada Council for the Arts. Her teaching spans courses like INF2228H (The Future of Things: Digitization and Remediation) and BKS1002H (Book History in Practice), blending theory with hands-on engagement in digital humanities and book studies. Her research interests span digital humanities pedagogy, collaborative publishing projects, and the intersection of feminist theory with material book culture. She actively contributes to interdisciplinary initiatives like the Critical Digital Humanities Initiative (CDHI) at the University of Toronto.

• Book and Publishing History
• Creative Writing
• 20th-Century Literature
• +4 more

Chaitanya Swamy is a Professor and University Research Chair in the Department of Combinatorics & Optimization at the University of Waterloo, Canada. His primary affiliation is within the Faculty of Mathematics, and he holds positions in both the Department of Combinatorics & Optimization and the School of Computer Science. He obtained his Ph.D. in Computer Science from Cornell University under the supervision of David Shmoys, followed by postdoctoral research at Caltech's Center for the Mathematics of Information. Swamy’s research focuses on algorithms, particularly in combinatorial optimization, approximation algorithms, algorithmic game theory, stochastic optimization, network design, scheduling, and online algorithms. His work spans theoretical contributions and practical applications, including algorithm design for facility location, network routing, and mechanism design. He has contributed to foundational results in approximation algorithms, such as the development of primal-dual methods and LP-rounding techniques. Swamy has held significant editorial roles, including as an associate editor for Discrete Optimization and SIAM Journal on Computing . He has organized major conferences like CanaDAM 2021 and sessions at ISMP 2018. His teaching record includes courses on combinatorial optimization, scheduling, and algorithmic game theory. He has advised numerous Ph.D. and Master’s students, many of whom have gone on to prestigious academic and industry positions. Swamy’s research has been recognized through awards for his students, including the University of Waterloo Alumni Gold Medal. He actively contributes to the academic community through committee work for conferences like STOC, APPROX, and SODA, and his publications reflect a deep engagement with both theoretical and applied aspects of algorithms and optimization.

• Combinatorial Optimization
• Approximation Algorithms
• Algorithmic Game Theory
• +4 more

Renée J. Miller is Professor and Canada Excellence Research Chair in Data Intelligence at the University of Waterloo. A Fellow of the Royal Society of Canada and ACM, her research transforms how organizations manage and derive value from heterogeneous data sources. Professor Miller pioneered foundational work in schema mapping and data exchange recognized by the ICDT Test-of-Time Award. Her current research develops frameworks for semantic data discovery in data lakes, including the SANTOS system for relationship-based table search and Gen-T for table reclamation. She leads international collaborations advancing data management practices through tools like iBench for metadata generation and DIALITE for open data integration. Her CERC position establishes Canada's leadership in next-generation data intelligence systems.

• Data Integration
• Data Lakes
• Schema Mapping
• +2 more

Dan Lizotte is an Associate Professor jointly appointed to the Department of Computer Science in the Faculty of Science and the Department of Epidemiology and Biostatistics in the Schulich School of Medicine & Dentistry at Western University. Additional affiliations include the Schulich Interfaculty Program in Public Health and a cross-appointment to the Department of Statistics and Actuarial Sciences. Based in Middlesex College, London, Ontario, his contact email is dlizotte@uwo.ca. His research centers on machine learning and biostatistics for health decision support, with emphasis on sequential decision-making in chronic disease management where evolving patient health status and preferences inform adaptive interventions. Core contributions involve adapting reinforcement learning frameworks to model dynamic health decisions in public health and primary care settings, addressing methodological challenges in personalized medicine and risk prediction. Analysis of his publication record reveals consistent focus on healthcare applications of machine learning, particularly in chronic disease risk modeling using electronic medical records, intersectionality frameworks in public health AI, and Bayesian methods for dose personalization. His work bridges reinforcement learning with clinical decision support systems, advancing dynamic treatment regimes and statistical methodologies for evolving patient data. No scientific awards were mentioned in the provided text. The text does not specify any advisees, grant funding, or educational background details. Lizotte leads a research laboratory focused on machine learning applications in health, as evidenced by the dedicated lab site referenced in his contact information. His team likely explores intersections of statistical methodology, AI ethics, and clinical implementation for personalized health interventions.

• Machine Learning
• Biostatistics
• Health
• +4 more

Patrick Baylis is an Assistant Professor of Environmental Economics at the Vancouver School of Economics, University of British Columbia. His research focuses on how people respond to environmental threats such as wildfires, air pollution, and extreme temperatures. He employs large datasets, natural language processing, and spatial information in his work, primarily using R/RStudio and Python for data analysis. Dr. Baylis earned his PhD from the University of California Berkeley in 2016 in Agricultural and Resource Economics. Prior to joining UBC, he was a postdoctoral fellow at the Stanford Center on Food Security and the Environment. He also worked as a research assistant at the Energy Institute at Haas and is a proud alumnus of Carleton College. His research interests span environmental economics with a particular focus on climate change impacts, energy economics, and behavioral responses to environmental threats. His work often examines the intersection of climate, health, and economic behavior, using innovative methods like social media data analysis to measure sentiment responses to temperature changes and other environmental factors. Analysis of his publication record reveals a strong focus on using big data approaches to understand human responses to environmental challenges. His work frequently appears in top journals including Nature Climate Change, PNAS, and the Journal of Public Economics. His research spans multiple subfields including wildfire economics, air quality valuation, climate migration, and the behavioral impacts of temperature extremes. Dr. Baylis has received significant media attention for his work, with coverage in major outlets including The New York Times, The Washington Post, The Guardian, and The Atlantic. His research on temperature and suicide rates, as well as climate perception, has been particularly influential in connecting environmental conditions with human behavior and mental health outcomes. He maintains an active research program examining critical environmental challenges, including wildfire risk, air pollution impacts, climate adaptation strategies, and the economic dimensions of climate change. His work combines rigorous economic analysis with innovative data collection and processing methods to provide new insights into how humans respond to environmental threats.

• Environmental Economics
• Climate Change Economics
• Energy Economics
• +4 more

Victoria Lemieux is a Professor at the University of British Columbia (UBC) Faculty of Arts, School of Information, and Cluster Lead for Blockchain@UBC, Canada’s largest research cluster focused on blockchain technology. Her research centers on risks to trustworthy records in blockchain systems and their impact on transparency, financial stability, and human rights. She has pioneered Canada’s first research-oriented graduate blockchain training program and organized multiple interdisciplinary summer institutes. Education: Ph.D. in Archival Studies from University College London (2002), Certified Information Systems Security Professional (CISSP, 2005). Affiliated with UBC’s Peter Wall Institute for Advanced Studies, Sauder School of Business, and Institute for Computers, Information and Cognitive Systems (ICICS). Research interests span blockchain technology , trustworthy records , risk management , information governance , and visual analytics , with recent work addressing healthcare data frameworks, Web3 AI integration, and socio-cultural dynamics of decentralized systems. She has published extensively on blockchain applications in archives, land transactions, and privacy-preserving technologies. Scientific Awards : 2015 Emmett Leahy Award 2015 World Bank Big Data Innovation Award 2016 Emerald Literati Award 2016 Emerald Literati Outstanding Paper Award Supervision: Currently accepts doctoral students in Computational Archival Science and blockchain-related archival research. Affiliated with the Blockchain@UBC cluster and multidisciplinary research teams exploring decentralized systems for social good.

• Blockchain Technology
• Trustworthy Records
• Records and Information Management
• +8 more

Dr. Philippe Campeau is an Associate Clinical Professor in the Department of Pediatrics at the Faculty of Medicine, Université de Montréal. He is affiliated with CHU Sainte-Justine, a major pediatric hospital in Montreal, Quebec, where he works in the Medical Genetics Service. His clinical and research work focuses on genetic disorders affecting children, particularly in the areas of skeletal development and neurogenetics. Dr. Campeau obtained his Doctorate in Medicine from Laval University in Quebec (1998-2003) followed by specialty training in medical genetics at McGill University (2003-2008). He completed postdoctoral training at Baylor College of Medicine (2008-2013), which further developed his expertise in genetic research methodologies. His primary research interests include bone dysplasias , skeletal dysplasias , epilepsy , and epigenetic diseases . Dr. Campeau's laboratory identifies disease-causing genes, deciphers disease pathophysiology, and works to improve the management of children affected by these conditions. His work encompasses exome analysis , functional studies with cell lines and mouse models , and investigations into urea cycle abnormalities . He has made significant contributions to understanding genetic causes of conditions such as Genitopatellar syndrome (KAT6B), osteopetrosis, dysosteosclerosis (SLC29A3), osteogenesis imperfecta, early-onset osteoporosis (WNT1), Yunis-Varón syndrome (FIG4), and DOORS syndrome (TBC1D24). Dr. Campeau's publication record demonstrates a strong trajectory in medical genetics research, with numerous high-impact publications spanning from fundamental genetic discovery to translational research. His work spans skeletal disorders, neurodevelopmental conditions, and epigenetic mechanisms. Recent publications indicate an expanding focus on chromatin modifiers, DNA methylation patterns, and spliceosome function in neurodevelopmental conditions, reflecting the evolution of his research interests toward more complex molecular mechanisms. Dr. Campeau has received several research grants in recent years (6 starting in 2014) from organizations including the Fonds de la recherche en santé du Québec, Canadian Institutes of Health Research, and Fondation Grand Défi Pierre Lavoie. While specific students are not mentioned in the available information, as a clinical professor, he mentors medical students, residents, and research trainees in the Department of Pediatrics. His research is conducted as part of the 'Musculoskeletal Diseases and Rehabilitation' axis at CHU Sainte-Justine Research Center, where he collaborates with international research teams to identify disease-causing genes and develop better management strategies for children with genetic disorders.

• Medical Genetics
• Bone Dysplasias
• Skeletal Dysplasias
• +12 more

Nicola Nicolici is a Professor in the Department of Electrical and Computer Engineering at McMaster University. His research focuses on methods and algorithms for the design of digital integrated circuits and systems, with significant contributions in manufacturing test, post-silicon validation and debug. His work has expanded to include embedded systems, low-energy computing, and custom hardware-accelerated computing systems. Professor Nicolici's research interests span multiple areas of digital system design and validation. His early work focused on manufacturing test methodologies and power-aware testing strategies for integrated circuits. More recently, he has made significant contributions to post-silicon validation techniques, including constrained-random stimuli generation, trace signal selection, and bit-flip detection. His research has evolved to address emerging challenges in embedded computing systems, low-energy design, and specialized hardware acceleration for various applications including deep neural networks and signal processing. His recent publications reveal a strong trend toward hardware acceleration for specialized computing tasks. The research spans matrix multiplication algorithms (Strassen and Karatsuba), memory system optimization (DDR5 calibration), FPGA-based radar processing, and neural network acceleration. His work consistently bridges theoretical algorithm development with practical hardware implementation considerations, particularly focusing on precision analysis, fault tolerance, and energy efficiency. The research demonstrates a clear progression from traditional digital circuit testing to more complex system-level validation and acceleration techniques. Professor Nicolici has been actively involved in teaching courses related to system-on-chip design and test, digital systems, and embedded systems. His teaching portfolio includes advanced courses such as System-on-Chip (SOC) Design and Test and Digital Systems Design , reflecting his expertise in the field. While specific grant information isn't detailed in the provided text, his extensive publication record suggests ongoing research funding support. His research has contributed significantly to the fields of digital circuit testing, post-silicon validation, and hardware acceleration. The work has practical applications in semiconductor manufacturing, embedded systems design, and specialized computing architectures. His recent focus on neural network acceleration and memory system optimization reflects the evolving landscape of computer architecture research.

• Digital Integrated Circuit Design
• Hardware Testing
• Post-Silicon Validation
• +7 more

Eldan Cohen serves as an Assistant Professor of Industrial Engineering within the Department of Mechanical & Industrial Engineering at the University of Toronto's Faculty of Applied Science and Engineering. His academic journey includes a PhD from the same department followed by a postdoctoral fellowship in Computer Science at the University of Toronto and the Vector Institute for Artificial Intelligence. His educational background is detailed as follows: PhD in Mechanical & Industrial Engineering, University of Toronto Postdoctoral Fellowship in Computer Science, University of Toronto and Vector Institute for Artificial Intelligence Dr. Cohen's research centers on machine learning, deep learning, heuristic search, and optimization with strong emphasis on interpretable and human-compatible AI systems. His work bridges theoretical advancements with practical applications in healthcare (e.g., patient-physician interaction analysis, surgical safety diagnostics), automated planning, natural language processing, and software engineering. Recent projects develop interpretable clustering methods for medical data and optimization techniques for constrained sequence generation. Analysis of his 2023-2025 publications reveals a concentrated focus on healthcare AI applications, particularly using large language models for clinical text analysis and diagnostic support systems. Significant work also addresses interpretable machine learning for medical imaging, diverse plan selection in optimization, and constrained sequence generation in domains like vehicle routing. No major scientific awards or fellowships are documented in the available information. As an academic advisor, Dr. Cohen mentors graduate students in mechanical and industrial engineering, guiding research in optimization and machine learning. His OptiMaL research group fosters collaboration between computer science and industrial engineering to solve real-world decision-making challenges through human-centered AI approaches. The Optimization and Machine Learning (OptiMaL) research group, led by Dr. Cohen, serves as the primary hub for developing scalable, interpretable AI solutions for complex healthcare, planning, and engineering problems, with active projects in medical diagnostics and automated planning systems.

• Machine Learning
• Deep Learning
• Optimization
• +6 more

Christy M.K. Cheung serves as Chair Professor in Information Systems and Digital Innovation Management at Hong Kong Baptist University's Department of Management, Marketing and Information Systems within the School of Business. She also holds the prestigious position of Director of the Research Office at HKBU and serves as Editor-in-Chief of Internet Research . As President of the Association for Information Systems (AIS-Hong Kong Chapter), she demonstrates significant leadership in her academic community. Professor Cheung's research focuses on Digital Wellness and Safety, Digital Health and Well-Being, and Workplace Diversity, Equity, and Inclusion (DEI). Her work explores the complex relationship between technology use and human well-being, examining how digital environments impact both professional and personal lives. She investigates social media dynamics, data analytics applications, and information systems security from a human-centered perspective, with particular attention to ethical implications and social justice considerations. Her publication record shows a consistent focus on technostress, cyberdeviance, social media activism, and digital well-being. Recent work examines the episodic nature of technostressors and their effects on workplace behavior, social justice implications of doxing during political protests, and the interplay between technology use and work-family dynamics. These publications appear in top-tier journals including MIS Quarterly , Information Systems Research , and Information Systems Journal , reflecting her standing as a leading scholar in the field. Emerald Literati Network Award for Excellence (2007) Emerald Literati Network Award for Excellence (2016) Best Paper Award at International Conference on Information Systems (2003) Excellence in Reviewing Honorable Mention (2018) Best Reviewer in Journal of Association for Information Systems (2020) President's Award for Outstanding Performance in Scholarly Work (HKBU, 2021/22) President's Award for Outstanding Performance in Research Supervision (HKBU, 2019/20) Professor Cheung has successfully supervised three PhD students who now hold positions at prestigious institutions including Leicester University, Manchester University, and the University of Auckland. She has secured over HK$15 million in research funding through more than 25 competitive grants from sources including the General Research Fund, UGC Additional Funding, and the National Natural Science Foundation of China. Her RGC Senior Research Fellow award provided HK$7.8 million for a 60-month research program. As Director of the Research Office at HKBU, Professor Cheung plays a key role in advancing the university's research mission while maintaining her own vigorous research program. Her leadership extends to editorial roles for major journals and organizational positions within the Association for Information Systems.

• Digital Wellness
• Digital Health
• Workplace DEI
• +4 more

Monica Maly is a Part-Time Associate Professor in Rehabilitation Science within the Faculty of Health Sciences at McMaster University. Her academic profile demonstrates extensive expertise in biomechanics and rehabilitation, with particular focus on knee osteoarthritis research. She maintains an active research program with numerous recent publications spanning rheumatology, biomechanics, and rehabilitation science. Dr. Maly's research interests center on understanding the biomechanical and physiological factors contributing to knee osteoarthritis progression and developing effective interventions. Her work examines knee joint mechanics, muscle strength and capacity, gait analysis, pain management strategies, and the impact of exercise interventions on OA symptoms. She has conducted significant research on sex differences in OA, racial disparities in pain experiences, and the relationship between obesity, inflammation, and joint function. Her methodological approaches include biomechanical analysis, clinical trials, systematic reviews, and innovative technologies like soft robotics for knee bracing. Analysis of her recent publications (2023-2025) reveals a strong focus on understanding knee osteoarthritis mechanisms through biomechanical and physiological lenses, with increasing attention to social determinants of health and health disparities. Her work spans multiple disciplines including rheumatology, biomechanics, rehabilitation science, and public health, demonstrating interdisciplinary collaboration. Key trends include examining racial disparities in pain experiences, developing novel interventions like soft robotic knee braces, and investigating the complex relationships between joint loading, biomarkers, and cartilage changes. Dr. Maly has collaborated extensively with researchers across multiple institutions, as evidenced by her numerous publications in high-impact journals such as Osteoarthritis and Cartilage, Arthritis & Rheumatology, and Clinical Biomechanics. Her work often utilizes data from large longitudinal studies including the Osteoarthritis Initiative and the Canadian Longitudinal Study on Aging. While specific grant information isn't detailed in the provided text, her extensive publication record suggests successful funding of multiple research projects.

• Knee Osteoarthritis
• Biomechanics
• Rehabilitation Science
• +7 more

Dr. Kenneth Edwin Barker is a Professor in the Department of Computer Science within the Faculty of Science at the University of Calgary, where he also serves as Director of the Institute for Security, Privacy and Information Assurance (ISPIA). His academic career spans several decades with significant contributions to database systems and privacy research. Dr. Barker earned his B.S. and M.S. in Computer Science from the University of Calgary in 1982 and 1984 respectively, followed by a Ph.D. in Computer Science from the University of Alberta in 1990. His educational background established the foundation for his extensive research career in database systems and information security. His primary research interests focus on Privacy Preserving Data Repositories , with specific attention to protecting privacy in mobile applications, understanding privacy's impact on data analytics, and architecting database management systems that inherently respect user privacy. His work also extends to distributed database environments, integration of legacy systems, and multidatabase environments. Dr. Barker's research bridges theoretical foundations with practical applications, making significant contributions to how privacy is implemented in real-world systems. An analysis of his recent publications reveals a strong trend toward practical privacy-preserving techniques for cloud data, social networks, and location-based services. His work consistently addresses the tension between data utility and privacy protection, developing innovative methods to maintain data value while safeguarding personal information. The publications span multiple subfields including encrypted search, graph privacy, high-dimensional data privacy, and privacy metrics. Best Paper Award at DBSec 2012 Best Paper Award at CODASPY 2012 Best Paper at BNCOD 2009 Dr. Barker has been instrumental in establishing privacy research infrastructure at the University of Calgary through his leadership of ISPIA. His research has attracted significant funding from various sources supporting privacy and security initiatives. While specific grant details aren't provided in the text, his extensive publication record indicates sustained research funding throughout his career. He has collaborated extensively with researchers both within and outside the University of Calgary, particularly with R. Alhajj and other colleagues on numerous projects. As Director of ISPIA, Dr. Barker oversees a research environment focused on advancing security and privacy technologies. The institute serves as a hub for interdisciplinary research, bringing together computer scientists, social scientists, and legal experts to address complex privacy challenges. His leadership has positioned the University of Calgary as a significant player in privacy research within Canada.

• Privacy Preserving Data Repositories
• Database Management Systems
• Data Privacy and Security
• +4 more

Emily Laidlaw serves as Associate Professor and Canada Research Chair in Cybersecurity Law at the University of Calgary's Faculty of Law, where she also holds appointments as Co-Director of the Canadian Network on Information and Security and Ethics Advisor to Calgary’s City Council. Her academic credentials include a PhD (2012) and LLM (2007) from the London School of Economics and Political Science, a JD (2002) from the University of Saskatchewan, and a BA in Communications (1998) from Linfield University. Dr. Laidlaw's research critically examines the intersection of digital technologies and fundamental rights, with primary focus on cybersecurity law, online harms regulation, platform accountability, privacy protections, and freedom of expression in networked environments. Her influential book Regulating Speech in Cyberspace (Cambridge University Press, 2015) established foundational frameworks for analyzing corporate responsibility in digital governance, while her ongoing work addresses emerging challenges in intimate image abuse legislation and cross-border data flows. Her publication record reveals consistent scholarly engagement with intermediary liability doctrines and digital tort reform across Canadian, UK, and European contexts, demonstrating particular expertise in developing legal mechanisms for addressing online defamation and non-consensual intimate imagery. Recent work increasingly examines the role of technology mindfulness in shaping privacy tort evolution and content moderation systems. Recognition for her impactful scholarship includes: Peak Scholar award from the University of Calgary (2018) Dr. Laidlaw directs significant research initiatives including an SSHRC Insight Grant on developing digital privacy torts, a MINDS Grant for the Canadian Network on Information and Security, and participation as co-investigator in the SSHRC Partnership Grant for Human-Centric Cybersecurity. She recently co-chaired the federal government's expert advisory panel on online safety legislation. Her institutional affiliations include leadership roles in the Institute for Security, Privacy and Information Assurance, membership on the Council of Canadian Academies Expert Panel on Public Safety in the Digital Age, and editorial positions with the European Journal of Law and Technology and International Cybersecurity Law Review.

• Cybersecurity Law
• Technology Regulation
• Human Rights
• +6 more