جست‌وجوی استاد و پژوهشگر

Wendy Huangمشاهده پروفایل

استاد

• Statistics
• Operations Research
• Applied Mathematics
• +۱ مورد دیگر

Dr. Wendy Huang serves as a Professor in the Department of Mathematical Sciences at Lakehead University. Her academic work centers on statistical methodology and applied analysis, with active engagement in institutional research support through the Statistical Consulting Services. Her research interests span Statistics , Operations Research , and Applied Mathematics , emphasizing practical applications in experimental design, data analysis, and statistical software implementation. She maintains expertise in translating theoretical frameworks into actionable insights for interdisciplinary projects. Dr. Huang leads Lakehead University's Statistical Consulting Services, providing critical methodological guidance to students and researchers. Her advisory role includes supervising graduate student consultants who support LU's academic community in statistical design, data collection, and analysis interpretation. Professional service highlights include: Free drop-in consulting for LU students (Tuesdays 9:00 AM–12:00 PM) Fee-based external consulting at $150/hour for specialized projects Development of customized statistical workshops and short courses

Michael Oppermannمشاهده پروفایل

پژوهشگر

• Human-Data Interaction
• Information Visualization
• Machine Learning
• +۹ مورد دیگر

Michael Oppermann is a researcher, data visualization developer, and co-founder of Viaduct, currently affiliated with the Austrian Institute of Technology (AIT) . His work integrates visualization, machine learning, and human-centered design to create interactive tools for data exploration and communication. He holds a PhD in Computer Science from the University of British Columbia (2021), where he collaborated with Tamara Munzner's InfoVis Group, and a Master of Business Informatics from the University of Vienna (2017). Expertise in interactive visualization, mixed-methods research, and web development Previously served as a visiting research fellow at Harvard University's Visual Computing Group Industry experience at Tableau Software and Virtual Identity as a data science consultant His research spans human-data interaction, haptics, and spatiotemporal data analysis. Publications include top venues like CHI , IEEE VIS , and EuroVis . He has contributed to projects such as VizSnippets , Haptipedia , and Bike Sharing Atlas . Awards include the Accenture Campus Innovation Challenge first place in Austria (2016) and recognition in the NaturTalente High Potential Program (2016). Michael also has extensive teaching experience, having restructured large undergraduate courses and served as a teaching assistant for human-computer interaction and visualization topics.

Philipp Langeمشاهده پروفایل

دانشیار

• Precision Oncology
• Proteomics
• Genomics
• +۵ مورد دیگر

Dr. Philipp Lange is an Associate Professor at the University of British Columbia (UBC) in the Faculty of Medicine , Department of Pathology & Laboratory Medicine. He serves as a Canada Research Chair in Translational Proteogenomics of Pediatric Malignancies and as an Investigator in the Michael Cuccione Childhood Cancer Research Program at BC Children’s Hospital and BC Cancer Research Institute. His work bridges proteomics, genomics, and bioinformatics to advance pediatric precision oncology . Research Focus : Precision oncology, proteomics, post-translational protein modification, cell signaling in childhood cancers, and targeted therapeutics. Educational Background : PhD in Biochemistry (Free University Berlin), MSc in Molecular Biology, Microbiology, and Computer Sciences (University of Hamburg). Dr. Lange leads the Lange Lab , which develops proteomics platforms for molecular pathology in pediatric cancers. He co-leads Canada’s PROFYLE precision oncology consortium and chairs the Canadian Pediatric Cancer Consortium (ACCESS) Cancer Biology group. His work emphasizes translational research to reduce treatment side effects and improve survival. Scientific Awards CIHR Early Career Investigator in Cancer Award Great Canadian Innovation Award (Canadian Cancer Society) Recent Publications His research spans proteomics methodology (e.g., ASAP/SQuAPP for FFPE tissue analysis, positional proteomics), pediatric cancer proteoforms, and clinical translation of proteogenomics. Key studies include PDX models for therapy selection in progressive malignancies and proteome-wide analysis of drug resistance mechanisms. Graduate Student Supervision Dr. Lange mentors students in the Bioinformatics , Cell and Developmental Biology , and Genome Science and Technology programs at UBC. Lab members include graduate students, postdoctoral fellows, and senior research technicians working on proteomic tools, childhood cancer biology, and drug development.

Youssef Diouaneمشاهده پروفایل

دانشیار

• Numerical Optimization
• Surrogate Modeling
• Data Science
• +۵ مورد دیگر

Youssef Diouane is an Associate Professor in the Department of Mathematical and Industrial Engineering at Polytechnique Montréal, Canada. Previously, he was a professor in the Department of Complex Systems and Engineering (DISC) at ISAE-SUPAERO in Toulouse, France. He is a member of the Research Group in Decision Analysis (GERAD) and serves as an associate editor for the journal "Computational Optimization and Applications" as well as a guest co-editor for a special issue of "Mathematical Programming" related to the 25th International Symposium on Mathematical Programming. Dr. Diouane's research focuses on numerical optimization and its applications to complex systems, design, and data sciences. His work targets the development of efficient optimization algorithms with optimal guarantees to solve engineering optimization problems. His primary research areas include: Numerical Optimization Surrogate Modeling Data Science and Machine Learning Computational Science and Engineering His recent publication record (57 total publications) demonstrates a strong focus on optimization techniques applicable to aerospace engineering, particularly aircraft design. There's a clear trend toward addressing high-dimensional optimization problems with mixed and categorical variables, often using Bayesian optimization approaches. His work bridges theoretical optimization methods with practical engineering applications, especially in sustainable transport and green aircraft design, reflecting his secondary spheres of excellence in Sustainable Transport and Infrastructures and Industry of the Future and Digital Society. Dr. Diouane has successfully supervised multiple graduate students, including two Master's theses at Polytechnique Montréal completed in 2022 and 2024. His teaching responsibilities include courses on scientific computing for engineers, operational research foundations, and derivative-free optimization, reflecting his commitment to both theoretical and applied aspects of optimization.

Mario Badrمشاهده پروفایل

استادیار

• Computer Architecture
• Parallel Computing
• Heterogeneous Computing
• +۳ مورد دیگر

Mario Badr is an Assistant Professor (Teaching Stream) in the Department of Computer Science at the University of Toronto, part of the Faculty of Arts and Science. His research focuses on computer architecture, with an emphasis on simulation tools for evaluating multi-core, heterogeneous, and energy-harvesting systems. He has contributed to methodologies for analyzing memory behavior, synchronization performance, and cache coherence in modern architectures. Key research areas include parallel computing, performance analysis of GPU offloading, and energy-efficient computing models like the EH framework. His work often involves developing synthetic traffic models (e.g., SynFull) to assess architectural designs under realistic conditions. These tools enable early-stage exploration of trade-offs in processor architectures, particularly for mobile and embedded systems. Dr. Badr’s publications span topics such as cache behavior modeling, multi-core scalability, and intermittent computing. His research bridges theoretical analysis and practical implementation, with applications in both academic and industry contexts. While no specific awards or grants are listed, his contributions to architecture evaluation frameworks reflect a strong focus on advancing computational efficiency and system design.

Christoph Sielmannمشاهده پروفایل

استادیار

• Industrial Automation
• Instrumentation
• Nanofabrication Technology
• +۵ مورد دیگر

Christoph Sielmann is an Assistant Professor of Teaching at the Department of Mechanical Engineering, Faculty of Applied Science, University of British Columbia (UBC). Holding a B.Sc. from the University of Alberta (UofA), M.A.Sc. and Ph.D. from UBC, and registered as a Professional Engineer (P.Eng.), he is actively involved in engineering education and research. He is a member of CEEA, ASEE, and IEEE. His educational background includes: B.Sc. in Engineering from the University of Alberta M.A.Sc. in Mechanical Engineering from UBC Ph.D. in Mechanical Engineering from UBC Sielmann's research and teaching interests focus on industrial automation, instrumentation, nanofabrication technology, MEMS, and clean energy. He also emphasizes engineering ethics and decolonization in engineering education. His work explores technological pedagogical knowledge and multi-campus instruction strategies. Recent publications highlight his contributions to: MEMS sensor fabrication techniques (inkjet printing, acid-free etching) ZnO nanofabrication for clean energy applications Remote teaching methodologies in engineering labs Educational tools for multi-cohort courses Scientific affiliations and memberships include: Canadian Engineering Education Association (CEEA) American Society for Engineering Education (ASEE) Institute of Electrical and Electronics Engineers (IEEE)

Eugene Syrianiمشاهده پروفایل

استاد

• Software Engineering
• Model-Driven Engineering
• Digital Twins
• +۵ مورد دیگر

Dr. Eugene Syriani is a Professor at the Department of Computer Science and Operations Research , Faculty of Arts and Sciences , University of Montreal . He leads the GEODES research group and teaches software engineering at undergraduate, Master's, and PhD levels. His work combines Model-Driven Engineering (MDE) and Simulation to improve software engineer productivity and cross-disciplinary system design. Research interests span two axes: (1) Software Engineering focusing on Domain-Specific Languages (DSLs) , Model Transformations , Code Generation , Collaborative Modeling , and Customizable Modeling Environments ; (2) Simulation addressing Digital Twins , Discrete-Event Simulation , and Co-Simulation for applications in agriculture, automotive, and smart systems. His recent work explores AI-assisted modeling and prompt engineering . Key projects include Digital Twins for Vertical Farming (funded by NSERC, MITACS, and industry partners) and Domain-Specific Environments (NSERC Discovery Grant). He has received multiple best paper awards at international MDE and modeling conferences. Scientific contributions include: Best Paper, ACM/IEEE International Conference on Model Driven Engineering Languages & Systems (2023, 2018) NSERC Discovery Grant (2020-2027) Visiting Professor Fellowships (University of L'Aquila, TU Wien, University Cote d'Azur) Guest Editor for Software & Systems Modeling and JOT He supervises 13 graduate students and postdocs, with expertise in DSL development , collaborative modeling , digital twin frameworks , and model consistency . His tools include Gentleman (projectional editor), ReLiS (systematic review tool), and AToMPM (cloud-based modeling environment).

Rob Deardonمشاهده پروفایل

استاد

• Bayesian statistics
• computational statistics
• infectious disease epidemiology
• +۵ مورد دیگر

Rob Deardon is a Professor jointly appointed in the Faculty of Veterinary Medicine and the Department of Mathematics and Statistics at the University of Calgary. His research spans Bayesian statistics, infectious disease epidemiology, and spatial modeling, with applications in human and animal health. PhD in Applied Statistics, University of Reading (2001) MSc in Medical Statistics, University of Southampton (1997) BSc in Pure Mathematics & Mathematical Statistics, University of Exeter (1996) Rob Deardon's work focuses on computational statistics, infectious disease modeling (including foot-and-mouth disease and influenza), and spatio-temporal analysis. His methodological interests include Monte Carlo methods, approximate Bayesian computation, and statistical learning. Recent publications emphasize spatial epidemic models, behavioral change analysis, and computational methods for disease surveillance. He leads a research group of 10 graduate students. He teaches graduate courses in infectious disease modeling and maintains collaborations across biostatistics, veterinary medicine, and public health.

Pamela Samuelsonمشاهده پروفایل

استاد

• Copyright Law
• Internet Law
• Privacy Law
• +۳ مورد دیگر

Pamela Samuelson is the Richard M. Sherman Distinguished Professor of Law at the University of California, Berkeley School of Law, where she has been a faculty member since 1996. She is a leading expert in copyright law, internet law, and privacy with extensive contributions to the field of intellectual property as it intersects with emerging technologies. Her research interests span copyright law, internet law, privacy law, intellectual property law, technology and society, and digital rights. Professor Samuelson has written and spoken extensively about the challenges that new information technologies pose for traditional legal regimes, particularly in the realm of intellectual property. Her recent work has focused on the intersection of artificial intelligence and copyright law, including questions about whether ingesting copyrighted works as training data constitutes infringement and whether AI outputs can be considered infringing derivative works. Professor Samuelson serves as Chair of the Electronic Frontier Foundation (EFF) board and has been instrumental in fostering civil liberties on the internet. She has also been involved in significant legal cases, including providing amicus briefs in the Google copyright case that supported the fair use defense. Her scholarly work has directly influenced important copyright litigation, including the Oracle v Google software copyright case that reached the Supreme Court. Member of the American Academy of Arts & Sciences Fellow of the Association for Computing Machinery (ACM) Contributing editor of Communications of the ACM Past fellow of the John D. & Catherine T. MacArthur Foundation Member of the American Law Institute Honorary professor of the University of Amsterdam Chair of the Electronic Frontier Foundation (EFF) board Professor Samuelson has advised on numerous technology policy issues and has been a vocal advocate for balanced copyright approaches that support both creators and innovators. Her work bridges the gap between legal scholarship and practical technology policy, making significant contributions to how society understands and regulates digital technologies and intellectual property in the 21st century.

Michael Noseworthyمشاهده پروفایل

استاد

• Medical imaging physics
• Magnetic resonance imaging
• Multinuclear spectroscopy
• +۷ مورد دیگر

Dr. Michael Noseworthy is a Professor in both the Electrical & Computer Engineering Department and the McMaster School of Biomedical Engineering at McMaster University. He serves as the Director of Medical Imaging Physics and Engineering at St. Joseph's Healthcare and holds a Special Professional Staff position in Radiology and Nuclear Medicine. Previously, he was Co-Director of the McMaster School of Biomedical Engineering from 2010 to 2020. Dr. Noseworthy's research focuses on medical imaging physics, particularly magnetic resonance imaging (MRI) and multinuclear spectroscopy (MNS), with applications in brain, muscle, and cancer research. His work involves developing comprehensive disease imaging protocols that evaluate anatomic, metabolic, and functional characteristics of healthy and abnormal tissues. He has increasingly focused on multimodal techniques that fuse MRI with EEG, EMG, ultrasound, and other imaging methods. His recent publications demonstrate expertise in accelerated MRI techniques, concussion research, tissue microstructure assessment, and machine learning applications in medical imaging. His work spans multiple disciplines including biomedical engineering, neuroscience, and computational imaging. President's Award for Excellence in Graduate Supervision (McMaster University, 2013) Distinguished Fellow Adjunct Professor, Institute of Applied Health Science, Mohawk College (2024) P.Eng. (L.E.L) professional engineering license Dr. Noseworthy teaches several courses including Medical Imaging Systems II (BIOMED 702, ECE 780, MED PHYS 702) and Advanced Medical Imaging (ELECENG 4BF4), focusing on MRI, NMR, ultrasound, and optical imaging methods. His research group develops innovative imaging protocols that integrate complex systems mathematics and machine learning for medical image analysis.

Keegan Korthauerمشاهده پروفایل

استادیار

• Genomic Data Science
• Epigenetics
• Biostatistics
• +۳ مورد دیگر

Keegan Korthauer is an Assistant Professor in the Department of Statistics at the University of British Columbia (UBC), affiliated with the Faculty of Science. He leads the Korthauer Lab, which focuses on advancing statistical and computational methods for analyzing high-dimensional genomics and epigenomics data, with applications to cancer, child health, and development. His research integrates bioinformatics, biostatistics, and molecular biology to uncover molecular signals in complex biological systems. Education and Academic Background: While specific degree details aren’t listed, his academic role and publications suggest a PhD in Biostatistics or related field. The lab collaborates with institutions like BC Children’s Hospital Research Institute and maintains interdisciplinary research partnerships. Research Interests: The lab develops open-source tools for genomic data analysis, emphasizing DNA methylation, single-cell sequencing, and Bayesian modeling. Key areas include epigenetic mechanisms in disease, methodological standards for cellular heterogeneity studies, and translational applications in oncology and child health. Students and Collaborators: Current PhD students include Giuliano Netto Flores Cruz, Ning Shen, and Erick I. Navarro-Delgado. Alumni include Marco Tello and Giuseppe Tinti Tomio, whose work spans epigenetic modeling and bioinformatics. Labs/Teams: The Korthauer Lab prioritizes rigor, reproducibility, and transparency, with core values emphasizing collaborative learning and team success. Their software tools are publicly available and widely used in the genomics community.

• Computational Astrophysics
• Bayesian Statistics
• Machine Learning
• +۳ مورد دیگر

Joshua S. Speagle is an Assistant Professor at the University of Toronto , specializing in computational astrophysics, Bayesian statistics, and machine learning applications to astronomical problems. His work bridges theoretical modeling with practical software development, notably as the creator of the dynesty package for dynamic nested sampling in Bayesian inference. Research Interests : Computational astrophysics and statistical methods Bayesian inference and dynamic nested sampling Stellar evolution and galaxy formation Machine learning for astronomical data analysis Recent Publications (2025–2024) focus on generative models for inverse problems, galaxy formation at high redshift, stellar oscillation analysis, and simulation-based inference techniques. His software tools like dynesty and brutus are widely used in the astronomical community for Bayesian posterior and evidence estimation. Contact: j.speagle@utoronto.ca | Personal Website | ORCID: 0000-0003-2573-9832

David Becerraمشاهده پروفایل

مدرس ارشد

• Computational Biology
• Bioinformatics
• Algorithms
• +۵ مورد دیگر

David Becerra is a Senior Lecturer in the School of Computer Science at McGill University, where he joined in 2020. His expertise spans computational biology, algorithms, and programming competitions, with a focus on interdisciplinary applications in life sciences. Dr. Becerra earned his PhD in Computer Science with emphasis in Bioinformatics from McGill University in 2017 under Professor Jérôme Waldispühl. He completed a postdoctoral fellowship at the Terrence Donnelly Centre for Cellular & Biomolecular Research (2018-2020) supervised by Professor Philip Kim. His undergraduate and master's degrees are from Universidad Nacional de Colombia, where he worked with Professor Luis Niño. His research integrates machine learning, bio-inspired computing, and optimization to solve molecular biology problems at sequential and structural levels. Key areas include protein structure prediction, molecular docking, sequence alignment, and algorithm development for computational biology. He applies these techniques to model complex life science phenomena through computational simulation and data mining. Analysis of his 15 most recent publications reveals a strong trajectory in computational structural biology, with increasing use of deep learning (particularly graph neural networks) for protein design and folding. His work consistently bridges theoretical algorithms with practical biological applications, emphasizing multi-objective optimization approaches. Qualified for ICPC World Finals (2020, 2021) Dr. Becerra actively mentors students through undergraduate research projects (COMP396/400/401), course instruction (COMP204/251), and programming competition teams. He fosters an inclusive environment where students develop algorithmic confidence and interpersonal skills through collaborative problem-solving. He leads McGill's competitive programming initiative, which has created a thriving community preparing students for international competitions like the ICPC. This program emphasizes both technical excellence and team cohesion, resulting in consecutive world final qualifications.

Jeremy Shternمشاهده پروفایل

استاد

• Communication policy
• Globalization & communication
• Digital technologies
• +۵ مورد دیگر

Dr. Jeremy Shtern serves as Professor and Associate Chair/Undergraduate Program Director at Toronto Metropolitan University's School of Creative Industries. He previously directed the Joint York/TMU Graduate Program in Communication and Culture. His roles include academic leadership in graduate supervision and curriculum development, alongside founding the Global Communication Governance Lab. Education: Ph.D. in Communication (Université de Montréal), M.Sc. in New Media (London School of Economics), BA in Film Studies (Queen’s University), and a Certificate in Spanish proficiency from The Chang School. Research focuses on communication policy, digital governance, and media globalization. Key areas include internet regulation, creative labor dynamics, and the political economy of social media platforms. His work bridges academic research with policy advocacy, addressing challenges in global communication governance. Over $250,000 in external funding supports his research, including grants from SSHRC and FRQSC. He has served on review panels for national and international funding bodies, and his insights inform policy dialogues through invited talks at Yale Law School, the University of Sydney, and global conferences like IAMCR’s sessions on internet indicators. Teaching includes courses on digital age intellectual property, research methodologies, and communication policy. He mentors graduate students in TMU’s Creative Industries and the York/TMU Joint Program, emphasizing applied research and interdisciplinary collaboration.

• Molecular Dynamics
• Drug Design
• Ion Channel Gating
• +۴ مورد دیگر

Dr. Yun Lyna Luo is an Associate Professor in the College of Pharmacy at Western University of Health Sciences . Her research focuses on computational biophysics, particularly using molecular dynamics simulations to study ion channel mechanisms and AI-assisted drug design. She joined the university in 2013 and has held leadership roles in editorial boards (Nature Methods, Biophysical Journal) and professional organizations (Biophysical Society, American Chemical Society). Education: PhD, Ecole Normale Supérieure (Paris VI), 2004-2007 Postdoc, Argonne National Laboratory & University of Chicago, 2008-2013 BS/MS, Zhejiang University, 1997-2004 Research Interests: Her lab develops multiscale simulation methods to study ion channel dynamics (e.g., PIEZO1, connexins) and applies these to drug discovery. Key areas include ligand-receptor interactions, membrane protein function, and mechanism-driven drug design. Recent work targets piezo channels for contraception and PRMT inhibitors for leukemia treatment. Grants & Awards: NIH R01 Grant (MPI): Pharmacological Modulation of PIEZO1 Channels (2019-2028) NSF Collaborative Research: Sensory Membrane Protein Dynamics (2024-2027) Over 40 invited talks at conferences including Gordon Research Conferences and ACS National Meetings Teaching & Service: Course instructor: Molecular Simulation, Pharmacological Basis of Therapeutics Leadership roles: College Tenure & Promotion Committee (2023-2024), Department Vice Chair (2018-2019) Laboratory: The Luo Lab operates at the interface of computational biophysics and translational medicine. Key projects include developing FAIR-compliant simulation protocols and collaborating on projects such as CatSper channel-based contraception and cancer immunotherapy strategies.