Michael Yuchi serves as Professor and Vice Dean at Tianjin University's School of Pharmaceutical Science and Technology, with additional affiliation as Affiliate Member of the Department of Biochemistry & Molecular Biology in the Faculty of Medicine. His research centers on ion channels—the second largest drug target class and primary insecticide target—with focus on: Structural & Chemical Biology : Elucidating molecular mechanisms of human and insect ion channels using X-ray crystallography and cryo-EM Therapeutic Development : Designing modulators for RyRs/Navs to treat arrhythmia, neuropathic pain, and epilepsy Insecticide Innovation : Creating selective compounds targeting agricultural pests and disease vectors AI Integration : Developing closed-loop systems combining machine learning, protein design, and synthetic biology Recent work demonstrates strong convergence of structural insights with practical applications, exemplified by the 2024 Nature Communications publication on RyR-diamide interactions for resistance management. No scientific awards are documented in the provided materials. Professor Yuchi leads the Yuchi Lab, which operates through integrated structural, computational, and chemical biology platforms utilizing Tianjin University's super-computing resources for high-throughput screening and protein modeling, with explicit goals of developing next-generation therapeutics and insecticides.
Elise Cormier serves as an Associate Professor in the School of Accounting at Laval University's Faculty of Business Administration (FSA), where she maintains an active research and teaching profile. Her office is located in the Jean-Charles-Bonenfant Building (Room 5439), and she can be contacted directly via email or phone as listed in university directories. Professor Cormier's academic credentials are exclusively from Laval University: Doctorate in Accounting Sciences (Ph.D.) Master of Business Administration in Finance (MBA) Bachelor of Business Administration in Finance (BBA) Her research program critically examines intersections between accounting systems, financial markets, and household economic behaviors. Key contributions address how accounting information influences securities pricing and market valuations, while parallel work investigates personal finance dimensions including savings habits, retirement planning efficacy, policy-driven savings mechanisms, and household indebtedness triggers. This dual focus bridges corporate finance theory with real-world consumer financial decision-making. Analysis of her publication timeline reveals concentrated scholarly activity in the early 1990s, with notable contributions spanning capital markets research (Canadian IPO undervaluation), computational finance (expert systems for stock selection), and public policy evaluation (Quebec Stock Savings Plan). These works collectively demonstrate methodological versatility across empirical market analysis, systems design, and policy assessment within accounting and finance domains. No scientific awards or distinctions were documented in the available materials. Current advising load and grant funding details remain unspecified in the provided text, though her teaching responsibilities include financial statement analysis coursework. Professional engagement continues through maintained LinkedIn and ResearchGate profiles. There is no indication of laboratory leadership or dedicated research team affiliations in her current academic profile.
Miguel Anjos is Professor and Chair of Operational Research at the School of Mathematics, University of Edinburgh. He serves as Deputy Head of School and leads the Data and Decisions research theme. His professional roles extend to Chair of the Mathematical Optimization Society (2023–2025) and Vice-President (International Activities) of INFORMS. He holds Fellowships from the Humboldt Foundation, EUROPT, and the Canadian Academy of Engineering. Research Focus: Mathematical optimization for large-scale nonlinear problems in engineering applications, particularly conic optimization in facility layout and power grid optimization. Collaborations: National Grid ESO, Hydro-Québec, Schneider Electric, Rio Tinto, EDF, and Yeji Data Lab. Datasets: Maintains QAPLIB, FLPLIB, and Jones Benchmark for optimization research. His work addresses smart grid challenges: maximizing grid efficiency, integrating renewables, optimizing energy storage, and enabling customer participation. Former students have secured positions at universities (University of Tennessee, Western Ontario) and tech companies (Amazon, Shopify). Scientific Awards: Fellow of the Humboldt Foundation Fellow of EUROPT Fellow of the Canadian Academy of Engineering He has supervised PhD researchers including Elspeth Adams (2014 MOPTA runner-up), Christian Bingane (2019 CORS Student Paper Competition winner), and Mathieu Tanneau (2018–2021 FRQNT Merit Scholar). His postdocs have contributed to bilevel attacks in AI, energy storage scheduling, and electric vehicle infrastructure planning.
Michelle Scott is a Full Professor in the Department of Biochemistry and Functional Genomics at the University of Sherbrooke's Faculty of Medicine and Health Sciences, with a concurrent appointment in the Computer Science Department. Her academic trajectory shows progressive advancement from Assistant Professor (2011) to Associate Professor (2016), culminating in her current Professorship (2021). She directs an active research program focused on non-coding RNA biology, particularly small nucleolar RNAs (snoRNAs), with emphasis on their roles in ovarian cancer and transcriptomic regulation. Her research interests center on bioinformatic characterization of RNA networks , development of computational tools for RNA-seq analysis (including CoCo and snoDB), and molecular mechanisms of snoRNAs in cancer . Recent work employs low-structure-bias sequencing (TGIRT-seq) to overcome technical limitations in transcriptome analysis, revealing previously undetected non-coding RNAs and non-canonical snoRNA functions. Her group investigates snoRNA roles in alternative splicing regulation, cancer progression (particularly high-grade serous ovarian carcinoma), and nucleolar biology. The 15 most recent publications demonstrate strong focus on methodological innovation in transcriptomics (6 articles), snoRNA functional characterization (5 articles), and cancer genomics applications (4 articles). Key trends include addressing RNA-seq reproducibility issues, developing computational frameworks for multi-mapped read resolution, and expanding the functional landscape of snoRNAs beyond canonical roles. FRQS Senior Researcher Fellowship (2025) RECMUS Award for Supervision Excellence (2021) Tremplin Award for Early-Career Research (2021) Multiple FRQS Junior Fellowships (2017, 2021) Dean's List for Exceptional Performance (2015-2021) Scott has successfully mentored numerous graduate students (including 15 first-author publications by trainees) and secured substantial competitive funding, including a $$1\text{,}525\text{,}000$$ CIHR Project Grant (2021-2026) on proteogenomics approaches to define the human proteome. Her laboratory maintains strong affiliations with the CHUS Research Center and actively participates in the RiboClub network, which she has organized since 2014. Current work focuses on characterizing nucleolar snoRNAs in ovarian cancer and improving transcriptomic annotation frameworks.
Yuntong She is a Professor in the Department of Civil and Environmental Engineering at the University of Alberta's Faculty of Engineering, holding this position since 2024 after progressing from Assistant Professor (2012-2019) to Associate Professor (2019-2024). His research focuses on computational hydraulics with specialization in cold regions engineering and infrastructure resilience. His educational background includes: Ph.D. in Civil & Environmental Engineering, University of Alberta (2004-2008) M.Sc. in Hydraulic Engineering, Tsinghua University (2000-2003) B.Sc. in Hydraulic Engineering, Tsinghua University (1996-2000) Dr. She's research centers on river ice engineering, freeze-up/breakup processes, and ice jam flood forecasting, with additional expertise in sediment transport, urban drainage systems, and oil pipeline integrity. His work combines advanced computational modeling with field data analysis to address hydraulic challenges in cold climates, particularly focusing on infrastructure protection and climate change adaptation. Recent projects demonstrate strong integration of machine learning techniques for ice quantification and transient analysis for pipeline monitoring. Analysis of his 15 most recent publications (2019-2023) reveals three dominant research thrusts: (1) river ice dynamics and flood forecasting (40% of publications), particularly ice jam formation and breakup initiation; (2) pipeline safety and leak detection using transient analysis methods (25%); and (3) renewable energy system performance in cold climates, especially snow impacts on solar panels (15%). His work consistently bridges theoretical modeling with practical engineering applications in Canadian river systems. His scientific recognition includes: Editor's Choice award from Science of the Total Environment (2020) CGU-HS CRIPE Gerard Medal for river ice research (2009) Dr. She actively supervises graduate students, as evidenced by multiple publications with student first authors across river ice, pipeline, and renewable energy topics. His teaching portfolio includes core courses CIV E 431 Water Resources Engineering, CIV E 395 Civil Engineering Analysis III, and specialized CIV E 636 River Ice Engineering. Research collaborations span multiple Canadian institutions with field studies concentrated in the Mackenzie Delta and North Saskatchewan River systems. His laboratory work involves computational modeling of ice processes and pipeline systems, utilizing both proprietary simulation tools and public-domain models like River1D. Current projects focus on climate change impacts on river ice regimes and machine learning applications for real-time infrastructure monitoring in cold regions.
Victor Ezeugwu is an Assistant Professor in the Department of Physical Therapy at the University of Alberta's Faculty of Rehabilitation Medicine. He is a Physical Therapist and research affiliate with the Glenrose Rehabilitation Hospital. Dr. Ezeugwu is also a member of multiple research institutes including the Neuroscience and Mental Health Institute (NMHI), the Institute for SMart Augmentative and Restorative Technologies and Health Innovations (iSMART), the Women and Children's Health Research Institute (WCHRI), and the Sedentary Behaviour Research Network (SBRN). His educational background includes: Postdoctoral Fellowship - Canadian Healthy Infant Longitudinal Development (CHILD) Cohort Study, University of Alberta PhD - Rehabilitation Science, University of Alberta MSc - Physical Therapy, Obafemi Awolowo University, Nigeria BMR - Physical Therapy, University of Nigeria Dr. Ezeugwu's research primarily focuses on precision rehabilitation, utilizing wearable technologies, behaviour change techniques, and ecological approaches to study movement behaviours across the lifespan. His work involves personalizing rehabilitation interventions for individuals living with stroke, Parkinson's disease, frailty, and Long COVID. He has developed expertise in accelerometer-based movement behavior assessment and has contributed significantly to understanding how sedentary behavior impacts health outcomes in various populations, with particular emphasis on compositional approaches that consider physical activity, sedentary behavior, and sleep together rather than in isolation. Analysis of Dr. Ezeugwu's publication record reveals a strong progression from foundational work on movement behavior patterns to targeted clinical interventions. His recent high-impact publications in journals like The Lancet Neurology demonstrate his growing influence in stroke rehabilitation research. A distinctive theme throughout his work is the application of ecological momentary assessment approaches to understand real-world movement behaviors and develop practical, evidence-based interventions that can be implemented in clinical settings. His research increasingly focuses on precision rehabilitation approaches that integrate multiple movement behaviors rather than addressing them separately. Dr. Ezeugwu teaches PTHER 546 - Adult Neurology, covering theory and application of physical therapy for adults with neurological conditions. The course includes assessment, intervention, outcome evaluation, therapeutic exercise, electrophysical agents, and evidence-based skills. While specific scientific awards are not explicitly mentioned in the available information, his research has been published in high-impact journals including The Lancet Neurology, PLoS One, and Journal of Physical Activity and Health. As a research affiliate with the Glenrose Rehabilitation Hospital, Dr. Ezeugwu maintains strong clinical connections that inform his research agenda. His work with the CHILD Cohort Study demonstrates his commitment to longitudinal research that tracks movement behaviors from early childhood through development. His current research program addresses critical gaps in rehabilitation science, particularly in developing evidence-based approaches to reduce sedentary behavior and promote optimal movement patterns across various patient populations and conditions.
