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Douglas YuView profile

Professor

• Metabarcoding
• Rapid Biodiversity Assessment
• Environmental DNA (eDNA)
• +12 more

Douglas Yu is a Professor in the School of Biological Sciences at the University of East Anglia (UEA), where he also serves as Principal Investigator and Director of the Ecology, Conservation, and Environment Center (ECEC), a joint venture with the Kunming Institute of Zoology. He is a member of the Centre for Ecology, Evolution and Conservation and the Organisms and the Environment research group. His research focuses on cooperation in ecological systems, particularly mutualisms between species and conservation as cooperation between humans and nature. Key methodologies include environmental DNA (eDNA), metabarcoding, and game theory. He co-founded NatureMetrics to commercialize biodiversity monitoring tools. His work spans tropical ecology, conservation genetics, and human-wildlife conflict resolution, notably in the Amazon. His recent research outputs highlight trends in molecular biodiversity assessment, landscape-scale eDNA analysis, and integrating remote sensing with ecological data. He leads multiple NERC-funded projects and industry collaborations focused on pollination services, cocoa sustainability, and statistical frameworks for eDNA. He is actively involved in scientific governance, serving on the NERC Biomolecular Analysis Facility Steering Committee and UKRI grant panels. He also contributes to public discourse through media appearances on topics like leech-based disease surveillance and bee conservation. He teaches courses in evolutionary biology, conservation genetics, and statistical modeling using R. He welcomes PhD and postdoctoral researchers, especially those interested in fieldwork in East Asia.

• Source Water Protection Planning
• Watershed Planning
• First Nations Water Security
• +6 more

Robert Patrick is a Professor in the Department of Geography and Planning at the College of Arts and Science, University of Saskatchewan. His work centres on land-use and watershed planning, with a particular emphasis on source-water protection and Indigenous water security, especially among First Nations communities across Alberta and Saskatchewan. Research Focus Source-water protection planning to reduce contamination risks to public drinking-water supplies. Collaborative watershed planning with First Nations communities. Climate-change adaptation strategies integrated into community-based water governance. Urban water issues and nature-based solutions to climate impacts. Regional planning that incorporates Indigenous planning methodologies. Scientific Awards & Honours Distinguished Teacher Award, College of Arts and Science, University of Saskatchewan (2023) Teaching Excellence Award, College of Arts and Science, University of Saskatchewan (2014) U of S Students' Union Teaching Award Nominations (2012, 2009) Graduate Student Supervision Since 2010, Professor Patrick has successfully supervised over 25 graduate students (MA, MSEM, MNGD, and PhD levels). Notable recent graduates include: Warrick Baijius, Ph.D. 2022 Alan Akobundu, MA 2021 Obadiah Awume, MA 2019 Juliane Schultz, MA 2019 Rosalena Smith, MNGD 2018 Carley Coccola, MSEM 2018 Veronica Mauel, MSEM 2018 John Desjarlais, MNGD 2018 Autumn Carlson, MNDG 2017 Michael Dawe, MSEM 2016 Bronwyn Cowan, MNDG 2016 Janet Daigneault, MNGD 2016 Kellie Grant, MA 2016 Azhar Al Ibrahim, MA 2015 Warrick Baijius, MA 2015 Francis Goulet, MNGD 2015 Kelly Richardson, M.SEM 2015 Kyle Young, M. SEM 2014 Kurtis Trefry, M.SEM 2013 Hanyang Wang, MA 2013 Firas Younes, M. SEM 2012 Nadine Lemoine, MA 2012 Jostein Misfeld, M.SEM 2012 Franny Rawlyk, MA 2012 Dee Johns, MNGD 2012 Brittany Morgan, M.SEM 2011 Jesse Skwaruk, MA 2011 Emily Heffring, M.SEM 2010 Teaching & Courses GEOG 240 (2023) PLAN 442 (2023) Regular offerings in Planning, Regional Planning, Sustainable Cities and Regions, and Watershed Planning.

Andrew D. EatonView profile

Assistant Professor

• Social Work
• Health Disparities
• HIV/AIDS Research
• +8 more

Dr. Andrew D. Eaton is an Assistant Professor at the University of Regina’s Faculty of Social Work (Saskatoon Campus) and holds a Status-Only Assistant Professorship at the Factor-Inwentash Faculty of Social Work, University of Toronto. He earned his PhD and MSW from the University of Toronto and his BSW from Toronto Metropolitan University. His research focuses on HIV/AIDS, mental health crises, aging populations, sexual health, and harm reduction, with a commitment to community-based participatory research. Eaton’s work addresses complex comorbidities affecting marginalized groups, particularly sexual and gender minorities. He leads projects such as the '3 Infections, 1 Fight Study' using geospatial tools to reduce harm from injection drug use, and the 'ReportNeedles.ca' initiative to map needle disposal hotspots. His studies also explore cognitive remediation therapies for aging HIV-positive populations and crisis mental health response models. He holds grants from CIHR, SSHRC, CTN, and OHTN. His publications emphasize innovative interventions, including cognitive training programs, civilian-led crisis response systems, and global comparative studies on sexual identities. Eaton’s lab (eaton-lab.com) fosters collaboration between academics, practitioners, and communities to translate research into actionable health policies and practices.

Janille Smith-ColinView profile

Assistant Professor

• Transportation Systems
• Infrastructure Resilience
• Equity in Civil Engineering
• +3 more

Janille Smith-Colin is the J. Lindsay Embrey Trustee Assistant Professor of Civil & Environmental Engineering at Southern Methodist University (SMU), where she leads the Smith-Colin Research Group. As a licensed Professional Engineer (P.E.) and Jr. Editor for the ASCE Journal of Infrastructure Systems, her work bridges infrastructure management with social equity. She serves on the Transportation Research Board Standing Committee on Transportation Planning Analysis and Application (AEP15). Her educational background includes: Ph.D. in Civil and Environmental Engineering from Georgia Institute of Technology Master of Science in Civil and Environmental Engineering from University of Wisconsin-Madison Bachelor of Arts in Engineering Studies from Lafayette College Smith-Colin's research centers on sociotechnical systems modeling to advance equity, sustainability, and resilience in transportation infrastructure. She employs system dynamics and spatial analysis to examine transportation as a social determinant of health, with emphasis on underserved communities. Her engineering education work integrates community-based participatory research and design thinking to develop inclusive pedagogical approaches. Recent publications reveal a strong trend toward data-driven equity assessment, utilizing social media mining, mobile trajectory data, and spatial analytics to investigate infrastructure deserts, micromobility access, and health impacts. She pioneers social return on investment (SROI) frameworks for transportation solutions, connecting civil engineering with public health and disaster resilience through interdisciplinary methodologies. Scientific recognition includes: Best Poster Award, International Conference on Transportation & Development (2023) Golden Mustang Teaching Award, SMU (2023) National Academies Gulf Coast Research Program Early Career Fellowship (2021) ASCE ExCEED Teaching Fellow (2019) Her research is funded by the National Academies of Sciences, Engineering and Medicine, with grants supporting equity-focused transportation projects. While student advisees aren't explicitly listed, her community-based research approach indicates active mentorship in solving civil engineering challenges for marginalized groups. She also contributes to transportation policy through regional collaborations. The Smith-Colin Research Group develops evidence-based tools for infrastructure equity, conducting spatial analysis of transportation systems and health outcomes. Current projects involve system dynamics modeling for social sustainability, Twitter-based crisis response monitoring, and partnerships with Dallas-area agencies to map infrastructure deficiencies and mobility barriers.

Ivan CanayView profile

Professor

• Econometric Theory
• Partially Identified Models
• Moment Inequalities
• +5 more

Ivan Canay is a Professor of Economics and Director of the Mathematical Methods in the Social Sciences Program at Northwestern University’s Weinberg College of Arts & Sciences. He holds a PhD from the University of Wisconsin, Madison (2008). His research focuses on econometric theory, particularly developing statistical methods for assessing partially identified models, including tests for moment inequalities and randomization-based inference techniques. Recent work addresses challenges in clustered data analysis, covariate-adaptive randomization, and regression discontinuity designs. Canay’s academic contributions include advancing methodologies for handling non-ignorable cluster sizes and improving the robustness of inference in settings with limited data. He serves as an associate editor for the Journal of Econometrics , Journal of Business and Economic Statistics , and Econometrics Journal . His work bridges theoretical econometrics with practical applications in policy evaluation and causal inference. Key research themes include: Partially identified models and moment inequality frameworks Bootstrap methods for clustered data Covariate-adaptive randomization in clinical trials Statistical software development (e.g., Stata modules) His publications emphasize methodological rigor while addressing real-world complexities in economic data. Current projects likely expand his work on inference under structural constraints and improving accessibility of econometric tools for applied researchers.

• Biomedical imaging
• Functional MRI
• MRI Systems biology
• +3 more

Jozien Goense is an Associate Professor at the University of Illinois at Urbana-Champaign (UIUC), holding joint appointments in the Department of Psychology and Department of Bioengineering. She is also affiliated with the Beckman Institute for Advanced Science and Technology and the Neuroscience Program. Her primary research focuses on biomedical imaging, particularly functional MRI (fMRI) and its applications in understanding neurovascular coupling and cortical layer-specific activity. She is recognized for contributions to high-resolution fMRI methodology and laminar imaging techniques. Her work integrates advanced MRI techniques with neurophysiological studies, often using non-human primate models to validate findings in human studies. She has pioneered layer-specific fMRI approaches to map activity across cortical layers, particularly in the motor and visual cortices. Her expertise includes ultra-high field MRI (7T+), BOLD signal modeling, and software development for neuroimaging analysis (e.g., LayNII). Key research themes include the physiological basis of BOLD responses, neurovascular coupling mechanisms, and the application of laminar fMRI to study brain function in health and disease. She has collaborated extensively with neuroscientists, engineers, and clinicians to advance imaging technologies and their translational potential. Publications highlight her contributions to understanding dopamine and acetylcholine effects on neurovascular responses, resting-state gamma-band abnormalities in schizophrenia, and the development of high-resolution imaging protocols. Her work bridges basic science and clinical applications, including studies on vascular contributions to dementia and neuropharmacology. She has received the Beckman Seed Grant as part of a Bioengineering Faculty team, supporting innovative research initiatives. Her lab employs cutting-edge imaging tools and multidisciplinary approaches to unravel brain function at cellular and systems levels.

David MacdonaldView profile

Professor

• Wildlife Conservation
• Behavioral Ecology
• Environmental Economics
• +4 more

Professor David Macdonald CBE, FRSE is a leading academic in wildlife conservation, currently serving as the Professor of Wildlife Conservation at the University of Oxford and founding director of the Wildlife Conservation Research Unit (WildCRU). He holds a visiting professorship at Imperial College and chairs key committees including the Darwin Advisory Committee and Natural England’s Science Advisory Committee. His research integrates behavioral ecology with interdisciplinary approaches, addressing human-wildlife conflict through ecological, economic, and social science lenses. Notable areas include carnivore conservation (e.g., lions, tigers, and Ethiopian wolves) and the impacts of resource distribution on social structures. Awards include the CBE and FRSE. His work emphasizes policy-relevant science, leveraging long-term datasets and innovative tools like CARACAL acoustic monitoring. He advises on global conservation strategies, including responses to illegal wildlife trade and habitat loss. Education details are not explicitly stated, but his academic trajectory reflects advanced training in biological sciences. Research interests span from felid behavior to the socio-economic dimensions of conservation. Key collaborators include Earthwatch and the Wildfowl and Wetlands Trust. Students include Adjany Costa (Graduate Student). His contributions extend to policy via roles in advisory boards and advocacy for evidence-based conservation.

• Machine Learning
• Natural Language Processing
• Medical Informatics
• +3 more

Stefan Riezler is a full professor of Statistical Natural Language Processing at Heidelberg University's Department of Computational Linguistics (since 2010), affiliated with the Faculty of Mathematics and Computer Science. Prior to this, he worked in Silicon Valley at Xerox PARC and Google Research. He holds a PhD in Computational Linguistics from the University of Tübingen (1998) and conducted postdoctoral research at Brown University (1999). His research spans machine learning, NLP, and medical informatics, focusing on interactive statistical learning. He co-leads the Interdisciplinary Center for Scientific Computing (IWR) and serves on the editorial boards of Computational Linguistics and Transactions of the Association for Computational Linguistics . Key research areas include neural machine translation, healthcare AI (e.g., sepsis prediction), data augmentation, and reproducibility in ML. He develops tools like JoeyNMT and explores ethical challenges in clinical machine learning. Notable recent work includes advancements in time series analysis, multimodal interfaces (e.g., NLMaps for OpenStreetMap), and ethical frameworks addressing validity in healthcare ML. His publications emphasize practical applications of NLP in healthcare, speech translation, and cross-lingual systems. Grants and collaborations include interdisciplinary projects on medical data science and training next-gen NLP researchers. He actively contributes to open-source toolkits and reproducible research practices.

• Experimental and Behavioral Economics
• Neuroeconomics
• Trust Behavior
• +3 more

Professor Michael Naef is the Head of the Department of Economics and a Professor at Durham University's Business School. His research focuses on Experimental and Behavioral Economics and Neuroeconomics , exploring topics such as trust dynamics, cultural influences on cooperation, and neurochemical effects on decision-making. He leads the Department of Economics within a triple-accredited business school, emphasizing academic excellence and global connections. Key research interests include investigating how dopamine receptors modulate trust behavior, the origins of cooperative behavior in rice-farming cultures, and the role of testosterone in social interactions. His work combines experimental economics with neuroscience and psychology, often employing pharmacological interventions and neuroimaging techniques. Publications highlight contributions to understanding volatility in trust beliefs (2023), the neurobiological basis of social learning (2019), and testosterone's influence on competitiveness (2017). He advises PhD students Angel Li and Zekun Lin, focusing on advancing behavioral economic theory and applications. Prof. Naef's research has implications for understanding cultural economic differences, mental health impacts on decision-making, and the biological underpinnings of social preferences. His work bridges disciplines, fostering interdisciplinary collaborations in economics, neuroscience, and endocrinology.

Israel OrimoloyeView profile

Lecturer

• Remote Sensing
• GIS Applications
• Drought Disaster Management
• +3 more

Dr. Israel Orimoloye is a Lecturer in the School of Environment, Geography, and Sustainability at Western Michigan University. He holds dual Ph.D. degrees in Disaster Management (University of the Free State, 2022) and Geography (University of Fort Hare, 2018). His research focuses on remote sensing, GIS applications, climate science, and disaster risk management. He has authored over 65 publications and contributed to global policy frameworks through collaborations with institutions in South Africa, Canada, India, and beyond. Education: Ph.D., Disaster Management, University of the Free State (2022) Ph.D., Geography, University of Fort Hare (2018) MTech., Meteorology, Federal University of Technology (2015) BTech., Meteorology, Federal University of Technology (2010) Research Interests: His work integrates Earth Observation (EO) data and climate models to address drought, land degradation, and environmental hazards. Key areas include: Remote sensing for disaster monitoring GIS-driven climate impact assessment Sustainable resource management Community resilience strategies Publications: His 15 most recent articles (2020–2025) emphasize drought assessment, climate adaptation, and participatory risk management. Topics span geospatial modeling, flood dynamics, and policy integration. Grants & Advising: He leads projects funded by the Central Research Fund and collaborates internationally. No listed advisees are currently available. Labs & Teams: Affiliated with WMU's environmental research initiatives, focusing on spatial data science and disaster mitigation.

Zhen Ming JiangView profile

Associate Professor

• Software Engineering
• Artificial Intelligence
• Computer Systems
• +6 more

Zhen Ming (Jack) Jiang is an Associate Professor and York Research Chair (Tier II) in Software Engineering for Foundation Model-Powered Systems at York University's Department of Electrical Engineering and Computer Science. His research bridges software engineering, artificial intelligence, and computer systems with significant industrial impact. Dr. Jiang earned his Ph.D. from Queen's University's School of Computing and MMath/BMath degrees from the University of Waterloo's David R. Cheriton School of Computer Science. During his doctoral studies, he collaborated with BlackBerry's Performance Engineering team, developing tools now used daily to monitor commercial software systems. His research focuses on engineering rigor for AI-powered applications , software engineering evolution in the Generative AI era , and performance optimization of large-scale systems . Key areas include software performance engineering, mining software repositories, debugging distributed systems, source code analysis, and software visualization. His work combines empirical studies with practical tool development. Recent publications reveal strong trends in applying AI to software engineering challenges, particularly in machine learning systems reliability, blockchain efficiency, and AIOps solutions. His research consistently emphasizes empirical validation using real-world systems and industrial case studies. Scientific recognition includes: York Research Chair (Tier II) in Software Engineering for Foundation Model-Powered Systems NSERC Discovery Accelerator Supplements (DAS), 2020 Best Paper Award at ICST 2016 IEEE Software Best SEIP Paper at ICSE 2015 Ph.D. Research Achievement Award at Queen's University Multiple best paper awards at WCRE, MSR, and ICSE Dr. Jiang actively supervises graduate students and has secured competitive research funding including NSERC grants. His service includes program committee roles for top conferences (ICSE, ASE, ICSME) and editorial work for leading journals (TSE, TOSEM, EMSE). He leads research initiatives focused on foundation model-powered systems, collaborating with industry partners on performance monitoring and debugging solutions for large-scale distributed environments.

Alistair SterlingView profile

Assistant Professor

• Physical organic chemistry
• Computational chemistry
• Chemical bonding
• +3 more

Alistair Sterling is an Assistant Professor in the Department of Chemistry & Biochemistry at the University of Texas at Dallas (UTD), affiliated with the School of Natural Sciences and Mathematics. His research integrates computational modeling, theoretical physical organic chemistry, and electronic structure theory to study chemical reactivity, particularly in catalysis, molecular editing, and polymer upcycling. Sterling leads the Sterling Lab, emphasizing interdisciplinary collaboration with synthetic chemists and fostering skills in reaction mechanism analysis, coding, and scientific communication. He actively engages in outreach to promote public understanding of chemistry. Education includes a DPhil in Organic Chemistry (University of Oxford, 2021), an MChem in Chemistry (University of Oxford, 2017), and postdoctoral fellowships at Lawrence Berkeley National Lab and UC Berkeley. He holds the EPSRC Doctoral Prize Fellowship (2021). Research focuses on understanding chemical bonding and reactivity through computational tools, with applications in drug discovery and sustainable materials. Key themes include delocalization-enabled reactions, node-induced electron confinement, and strain-release mechanisms. The lab develops novel synthetic methods for creating complex molecules with pharmaceutical relevance, such as meta-substituted arene bioisosteres. Notable awards include the Global Young Scientists Summit (2021), Young Modellers' Forum Best Talk Prize (2019), and multiple University of Oxford scholarships. His work bridges theory and experiment, aiming to advance both fundamental understanding and practical innovations in chemistry.

Joshua FrenchView profile

Associate Professor

• Spatial Statistics
• Epidemiology
• Environmental Health
• +3 more

Joshua French is an Associate Professor and Director of Data Science Programs at the University of Colorado Denver, housed within the Department of Mathematical and Statistical Sciences in the College of Liberal Arts and Sciences. His research focuses on spatial statistics, epidemiology, environmental health, and statistical methodology with applications to public health and climate science. He leads initiatives in data science education and collaborates on projects addressing disease surveillance, environmental risk assessment, and geospatial modeling. Key research areas include developing statistical methods for cluster detection, analyzing NTM infection risks linked to environmental factors like water quality and trace metals, and evaluating climate model projections. His work integrates spatial analysis with real-world applications in public health and environmental science. French’s contributions span algorithmic innovations (e.g., PreCoG scan method) and interdisciplinary projects such as the MORACS clinical trial and aerosol impact studies on Arctic climate change. He advises the Data Science Programs at UC Denver and maintains active collaborations with institutions like National Jewish Health Hospital. His research has been published in top-tier journals and methodological packages, including 'smerc' and 'smacpod', reflecting his commitment to advancing statistical tools for spatial and environmental data analysis.

Karrie A. ShogrenView profile

Professor

• Self-Determination
• Special Education
• Disability Studies
• +3 more

Karrie A. Shogren is the Ross and Marianna Beach Distinguished Professor at the University of Kansas. Her work focuses on self-determination for individuals with intellectual and developmental disabilities, emphasizing educational outcomes, policy, and inclusive practices. She holds a Ph.D. in Disability and Education from KU, an M.A. in Psychology from the University of Dayton, and a B.S. in Psychology from The Ohio State University (summa cum laude). Her research spans self-determination interventions, special education policy, and the intersection of disability and citizenship. Key areas include improving IEP goal attainment, evaluating technology-delivered interventions, and co-designing inclusive environments with disability communities. She advocates for supported decision-making alternatives to guardianship and has published extensively on measurement tools for self-determination. Dr. Shogren’s awards include the distinguished professorship, recognizing her contributions to advancing equity in education for marginalized groups. She collaborates internationally, adapting interventions across cultural contexts while prioritizing anti-racism and anti-ableism in transition services. Her work intersects with museum accessibility, telehealth mindfulness programs for adolescents with disabilities, and policy reforms to reduce educational segregation. She emphasizes practitioner partnerships, developing teacher coaching models to implement self-determination practices in inclusive classrooms.

Stephen LeveneView profile

Professor

• DNA topology
• protein-DNA interactions
• nucleic acid structure
• +5 more

Stephen Levene is a Professor of Bioengineering at The University of Texas at Dallas (UT Dallas), affiliated with the Erik Jonsson School of Engineering and Computer Science. His research focuses on the physical and functional genomics of DNA structure, protein-DNA interactions, and DNA topology in biological systems. He holds a PhD from Yale University (1985) and an AB from Columbia University (1979). Levene’s laboratory investigates genome organization, chromatin dynamics, and the role of circular DNA (eccDNA) in health and disease. His work employs advanced biophysical techniques, including hydroxyl radical probing, gel electrophoresis, and single-molecule analysis. Key areas include DNA supercoiling, topoisomerase function, and the interplay between DNA structure and cellular processes. His research has led to innovations in DNA topology simplification, Cre recombination kinetics, and methodologies for analyzing circular DNA populations in organisms like C. elegans and humans. Levene’s lab also develops tools for genomic studies, such as shallow-learning models for DNA fragmentation analysis and unmasking hidden topological activities in recombination systems. Levene’s contributions span over 40 years, with publications addressing DNA looping, knotting, and the thermodynamics of nucleoprotein assemblies. His work bridges biophysics, molecular biology, and engineering, emphasizing interdisciplinary approaches to genomic challenges.