Find Academic Supervisors

• Cardiac biophysics
• Cardiac arrhythmia
• Directed graph mapping
• +5 more

Nele Vandersickel is an Associate Professor in the Department of Physics and Astronomy at Ghent University's Faculty of Sciences. Her research bridges physics and cardiology, focusing on the application of computational methods and network theory to understand cardiac arrhythmias. She leads multiple research projects funded by the Research Foundation - Flanders (FWO) and European funding programs, with current work extending through 2025-2029 including a BOF-ZAP professorship in biophysics. Dr. Vandersickel's research interests center on cardiac biophysics, particularly the development and application of Directed Graph Mapping (DGM) as a novel approach for analyzing cardiac arrhythmias. Her work integrates topology , network theory , and computational modeling to investigate mechanisms of atrial and ventricular arrhythmias. She has pioneered methods to identify critical boundaries in atrial tachycardia, analyze fibrotic tissue effects on arrhythmia drivers, and distinguish between different types of cardiac reentry patterns. Her research has significant clinical implications for improving cardiac mapping and ablation procedures. Analysis of her recent publications reveals a clear trajectory from fundamental physics research toward increasingly clinically relevant cardiac electrophysiology applications. Her work now focuses on translating topological approaches into clinical tools that can automatically detect critical arrhythmia boundaries and improve understanding of complex reentrant circuits. The research spans from basic computational modeling to validation in animal models and clinical data analysis. Principal Investigator for 'Directed networks as a novel approach for improving the management of cardiac arrhythmias' (2021-2027, European funding) Promotor for 'Networks and topology to tackle cardiac arrhythmia' (2025-2026, Special Research Fund) Administrative supervisor for multiple doctoral projects on directed graph mapping applications Recipient of BOF-ZAP professorship in biophysics (2019-2029) Dr. Vandersickel actively mentors the next generation of researchers, currently supervising multiple doctoral students including Arthur Santos Bezerra, Robin Van Den Abeele, and Bjorn Verstraeten. Her laboratory develops computational tools like the DG-Mapping software package that enable analysis of reentry and focal activation patterns in cardiac arrhythmias. The research group collaborates extensively with clinical electrophysiologists to ensure their computational approaches address real clinical challenges in arrhythmia diagnosis and treatment.

Kalil ErazoView profile

Teaching Professor

• Structural Health Monitoring
• Civil Infrastructure Resilience
• Stochastic Methods
• +4 more

Kalil Erazo is an Assistant Teaching Professor in the Department of Civil and Environmental Engineering at Rice University. His research focuses on structural health monitoring (SHM) for resilient civil infrastructure, particularly in regions prone to natural hazards. Erazo emphasizes integrating stochastic methods, Bayesian estimation, and advanced sensor technologies to assess structural integrity and predict performance under extreme events. Education: Postdoctoral Scholar, Rice University (2015-2016) Ph.D. in Civil and Environmental Engineering, University of Vermont (2015) M.S. in Civil and Environmental Engineering (Fulbright Fellow), Georgia Tech (2012) B.S. in Civil Engineering, Instituto Tecnológico de Santo Domingo (2009) Research Interests: Erazo’s work bridges theory and practice in resilient infrastructure design. Key areas include SHM for historic structures (e.g., UNESCO’s Colonial City of Santo Domingo), stochastic modeling for uncertainty quantification, Bayesian methods for nonlinear systems, and post-disaster decision-making frameworks. He advocates for integrating computational tools with physical infrastructure to enhance safety and sustainability. Research Group: The Structural Monitoring for Resilient and Sustainable Infrastructure group addresses National Academy of Engineering Grand Challenges by developing cyber-physical systems that monitor infrastructure health and predict performance under hazards like hurricanes and earthquakes. Outputs include sensor-based frameworks, digital twin technologies, and risk-assessment protocols.

Emmanuel Adu-AmeyawView profile

Senior Lecturer

• Corporate Finance
• Managerial Incentives
• Financial Leverage
• +5 more

Dr. Emmanuel Adu-Ameyaw is a Senior Lecturer in Finance at the School of Accounting, Finance and Economics, De Montfort University. His research focuses on corporate finance, managerial incentives, and financial leverage, with particular attention to investment policies, governance factors, and environmental strategy. He holds an ORCID identifier and is affiliated with research groups within his department. Research interests include the interplay between managerial compensation and firm performance, the role of ownership structures in investment decisions, and the impact of political risk on corporate financing. His work spans both private and public firms, analyzing variables like cash flow, leverage, and information quality. Key themes in his publications include fixed intangible asset investments in UK private firms, the moderating effects of governance mechanisms, and proactive environmental strategies in underprivileged markets. He has explored how growth opportunities influence investment policies and how economic crises and firm size affect leverage-performance relationships. Teaching expertise likely encompasses finance-related modules, though specific courses are not detailed. Professional memberships and conference attendances are noted in his profile but lack specific details. His email is emmanuel.adu-ameyaw@dmu.ac.uk .

Justin LegleiterView profile

Professor

• Neurodegenerative Diseases
• Protein Aggregation
• Biophysical Chemistry
• +3 more

Justin Legleiter is a Professor of Chemistry at the University of Nevada, Reno (UNR), and holds a joint adjunct faculty position at West Virginia University (WVU). He earned his B.S. in Chemistry from Murray State University (2000) and his Ph.D. in Chemistry from Carnegie Mellon University (2005), followed by postdoctoral research at the Gladstone Institute of Neurological Disease (UCSF). His research focuses on understanding molecular mechanisms of neurodegenerative diseases like Alzheimer’s and Huntington’s, with a particular emphasis on protein misfolding, aggregation, and interactions with cellular membranes. Utilizing atomic force microscopy (AFM), his lab investigates how surfaces and lipid environments influence protein aggregation pathways, aiming to identify therapeutic targets. Key research areas include: (1) Membrane-mediated aggregation of huntingtin and amyloid-β proteins, (2) effects of post-translational modifications (e.g., SUMOylation, acetylation) on aggregation, and (3) development of peptide-lipid systems for biophysical studies. His work bridges biochemistry, biophysics, and materials science, with applications in drug discovery and disease modeling. Recent studies highlight lipid membrane composition’s role in modulating protein interactions, as well as the impact of oxidative stress and macromolecular crowding on aggregation dynamics. Collaborations with institutions like WVU and UCSF underscore his interdisciplinary approach. His lab also contributes to undergraduate education through innovative biochemistry experiments. Affiliations: Professor – Department of Chemistry, University of Nevada, Reno Adjunct Faculty – C. Eugene Bennett Department of Chemistry, WVU

Robin A. CostelloView profile

Assistant Professor

• Biology Education Research
• Post-Secondary STEM Education
• Evidence-Based Classroom Interventions
• +3 more

Robin A. Costello is an Assistant Professor in the Department of Biological Sciences at the University at Buffalo, part of the College of Arts and Sciences. His research focuses on identifying systemic barriers to student success in postsecondary biology courses and evaluating evidence-based interventions to reduce these barriers. He employs experimental and quantitative methods to study the social aspects of learning and student persistence in STEM fields. Dr. Costello holds a BA in Biology from Dartmouth College, a PhD in Behavioral Ecology & Evolutionary Biology from the University of Virginia, and completed a postdoctoral fellowship in Biology Education Research at Auburn University. His work addresses topics such as ideological awareness in curricula, humanizing scientists in course materials, and challenging racial misconceptions in genetics education. His research has been published in journals like Research in Science Education , CBE—Life Sciences Education , and International Journal of STEM Education . He leads the Costello Lab, which investigates pathways to equity in STEM education and the role of social networks in ecological systems. Notable contributions include studies on counterstereotypical scientist role models, test anxiety reduction strategies, and demographic disparities in STEM degree attainment. His interdisciplinary approach bridges education research and evolutionary biology, reflecting his dual expertise in pedagogy and ecological systems.

• Sports Psychology
• Rugby Union
• Talent Development
• +3 more

Alexandra Turner serves as a Psychology Associate Researcher-Practitioner at Bangor University's School of Psychology and Sport Science, specializing in the psychosocial dimensions of elite rugby performance. Her work bridges academic research with practical applications in talent development pathways. Her educational background includes a Doctor of Philosophy (PhD) awarded by Bangor University in May 2023. The doctoral thesis, Developing Excellence in Rugby Union: A Multidisciplinary and Mixed Method Approach to Enhancing the Efficacy of the RFU Talent Development Pathway , was supervised by Professors J. Hardy and R. Roberts. Turner's research centers on identifying psychological traits that differentiate elite rugby players, with emphasis on mental resilience, team dynamics, and leadership structures. She employs mixed-method approaches to analyze how social support systems and coping mechanisms contribute to sustained high performance in competitive environments. Her current work focuses on optimizing talent identification protocols within the Rugby Football Union's development framework. Her sole documented publication in the Journal of Expertise (2024) examines psychosocial profiles of world-class male rugby players, revealing critical patterns in motivation systems and emotional regulation strategies among top performers. This research demonstrates consistent methodological rigor through multidisciplinary analysis of both quantitative performance metrics and qualitative psychological assessments. No scientific awards or honors were documented in available sources. There is no evidence of graduate student supervision, research grant acquisitions, or external funding in the provided materials. Her current role appears focused on independent research publication rather than advisory responsibilities. No specific laboratories, research teams, or collaborative networks were mentioned in association with her position.

Brigitte ServatiusView profile

Professor

• Combinatorics
• Structural Rigidity
• Geometric Foundations of Computer-Aided Design
• +4 more

Brigitte Servatius is a Professor in the Mathematical Sciences Department at Worcester Polytechnic Institute (WPI), affiliated with the Bioinformatics & Computational Biology program. She holds a PhD in Mathematics from Syracuse University (1987) and a Magister degree in Natural Sciences from the University of Graz, Austria (1978). Her research focuses on structural rigidity, combinatorics, symmetry, and the geometric foundations of computer-aided design. Key contributions include studies on tensegrities, molecular motions, and self-dual graphs. She has authored influential works such as Combinatorial Rigidity (1993) and Configurations from a Graphical Viewpoint (2013). Active in academic service, she has organized workshops on rigidity theory and participated in international conferences on combinatorics and geometry. Her teaching philosophy emphasizes enabling students to identify and cultivate 'jewels' in mathematical subjects. Research interests span structural rigidity (rigid graphs, frameworks), combinatorics (matroid theory, graph configurations), and geometric applications (CAD, symmetry analysis). She has advised numerous student projects through WPI's IQP and MQP programs, fostering interdisciplinary engagement. Her scholarly work bridges theoretical mathematics with practical applications in engineering and computer science. Recent research trends include exploring projective rigidity, nearly planar graphs, and equilibrium stressability in multidimensional frameworks. She maintains a strong presence in academic communities, presenting at venues like the Banff International Research Station and the Erwin Schrödinger Institute. Her work often intersects with discrete geometry and topological combinatorics, addressing challenges in both theoretical and applied settings.

Yaser OulabiView profile

Researcher

• Knowledge Base Completion
• Web Data Integration
• Entity Extraction
• +3 more

Yaser Oulabi is a researcher at the University of Mannheim's Chair of Information Systems V: Web-based Systems. His work focuses on knowledge base augmentation through web data extraction, particularly developing methods to integrate long-tail entities from web tables into cross-domain knowledge graphs like DBpedia and Wikidata. Key contributions include creating the Time-Dependent Ground-Truth Dataset for evaluating temporal data fusion and curating the Web Tables for Long-Tail Entity Extraction benchmark. His research addresses challenges in entity resolution for sparse datasets, temporal metadata estimation using knowledge-based trust metrics, and weak supervision approaches for identifying rare entities. Dr. Oulabi's frameworks enable structured web data consolidation across domains through innovative conflict resolution and version management techniques. Recent publications examine how web table characteristics influence knowledge base expansion potential and develop data programming methods for entity extraction in low-resource domains.

• Breast Cancer Research
• Quantitative Imaging Biomarkers
• Chemotherapy Resistance
• +3 more

Dr. William T. Tran holds dual roles as Senior Research Fellow in Radiotherapy and Oncology and Assistant Professor at the University of Toronto. He is also a Clinician Scientist at Sunnybrook Health Sciences Centre in Toronto, Canada. His research focuses on identifying predictive and prognostic biomarkers in breast cancer, particularly leveraging quantitative imaging techniques and digital pathology to optimize treatment decisions for high-risk patients. Key areas include exploring therapy response biomarkers for adaptive treatments, understanding biological variances in early-stage breast cancer, and investigating mechanisms of chemotherapy resistance and radiation refractoriness through collaborations with clinical experts. Dr. Tran’s academic credentials include a PhD, MSc, and MRT(T) (Medical Radiation Technologist). His work emphasizes translational research across disciplines such as oncology, medical imaging, and molecular biology. Over 20 peer-reviewed publications since 2012 reflect his focus on ultrasound-based biomarkers, optical spectroscopy, and multimodal imaging approaches to predict treatment outcomes in breast and bladder cancers. His research collaborations span institutions including Sunnybrook Health Sciences Centre, where he integrates clinical expertise with laboratory innovations. While no specific awards are listed, his extensive publication record underscores his contribution to advancing precision medicine strategies in oncology.

• Business Statistics
• High-Tech Start-up Companies
• Founder's Vision Analysis
• +3 more

Reginald J Murray serves as Adjunct Faculty in the Department of Marketing and Business Analytics at San José State University's Lucas College and Graduate School of Business. With extensive industry experience including 25 years as a high-tech executive and founder of MiniStor Peripherals Corporation, he brings practical business insights to academia. His educational background includes: Doctor of Education from Pepperdine University (2009) Master of Business Studies in Business Administration from Pepperdine University (1982) Bachelor of Science in Engineering from UCLA (1977) Dr. Murray's research focuses on the critical relationship between founder vision and startup outcomes in venture-funded technology companies. His doctoral dissertation established frameworks for analyzing vision sustainability, change, and disregard throughout the pre-IPO period, examining how these factors influence success metrics across the VFSC Success-Failure continuum. His work identifies contextual variables like vision valuation, clarity, and conformity as significant predictors of firm outcomes. Though limited to his doctoral dissertation in the available publications, his research demonstrates a clear trajectory examining the intersection of entrepreneurial vision, venture capital investment strategies, and technology startup performance metrics. His framework categorizes venture-funded companies into Super-successes, Successes, Failures, Projected Successes, and Living Dead based on vision implementation patterns. As an educator, he teaches Business Statistics courses including Managerial Decision Analysis and Business Logistics, connecting theoretical concepts with his extensive industry experience in high-tech R&D, engineering, operations, and program management.

Justin DonatoView profile

Professor

• Antibiotic Resistance
• Functional Metagenomics
• Microbial Ecology
• +3 more

Justin Donato is a Professor in the Department of Chemistry at the University of St. Thomas, affiliated with the College of Arts and Sciences. His research focuses on applying functional metagenomics to study bacterial chemical processes, particularly antibiotic resistance mechanisms. The Donato Lab explores how bacteria survive in diverse habitats, with projects targeting novel resistance gene discovery and strategies for antibiotic management. Dr. Donato teaches courses such as CHEM 440 (Biochemistry I/Lab) and has mentored student research through workshops and lab activities. His work bridges environmental microbiology, biochemistry, and drug discovery, emphasizing the role of bacteria in global challenges like antibiotic resistance and sustainability. Education details are not explicitly provided in the text, but his professional activities include teaching, research leadership, and collaboration with students on metagenomic studies. Research highlights include identifying resistance genes in soil and human-associated bacteria, as well as investigating triclosan's impact on bacterial resistance. He has contributed to both scientific publications and educational initiatives, such as integrating metagenomics into undergraduate labs. Grants and advising: Mentored students in a 2011 summer workshop producing significant genomic data. No explicit grant details are provided, but his research is funded through standard academic channels. The Donato Lab collaborates on projects like optimizing bacterial gene expression and analyzing wastewater microbiota.

• Antibiotic Resistance
• Microbial Biology
• Drug Discovery
• +3 more

Eric Brown is a Professor in the Department of Biochemistry & Biomedical Sciences at McMaster University. He holds the Canada Research Chair in Microbial Biology and leads the Biomedical Discovery and Commercialization (BDC) program, which bridges scientific research with commercialization. His research focuses on bacterial survival strategies, particularly targeting drug-resistant superbugs through chemical biology and molecular genetics. Dr. Brown is affiliated with the Michael G. DeGroote Institute for Infectious Disease Research and serves on multiple national/international advisory boards and editorial roles. His research interests include understanding bacterial cell wall biogenesis (e.g., wall teichoic acids), antibiotic resistance mechanisms, and developing novel antibiotics using innovative screening platforms. He has pioneered approaches like nutrient stress-based drug discovery and outer membrane disruption strategies. Dr. Brown’s scientific awards include the Canada Research Chair. His work spans over 300 publications, with recent breakthroughs in identifying resistance-modifying agents and cryo-EM studies of antibiotic targets. He co-leads the McMaster Antibiotic Resistance Network and has contributed to startups through the Professor Entrepreneur Fellowship. Labs/Teams: Brown Lab (www.brownlab.ca) focuses on microbial systems biology and translational antibiotic discovery. He mentors students in the BDC program, emphasizing entrepreneurship and biomedical innovation.

Jonathan HenningerView profile

Assistant Professor

• RNA Biology
• Gene Regulation
• Cell Fate Determination
• +5 more

Jonathan Henninger is an Assistant Professor in the Department of Biological Sciences at Carnegie Mellon University (CMU), part of the Mellon College of Science. His research focuses on RNA's role in regulating gene expression and cell fate through molecular biology, soft-matter physics, and super-resolution imaging approaches. The Henninger Lab investigates RNA's interactions with proteins and condensates to uncover mechanisms underlying gene control and disease. Education: Ph.D. in Developmental and Regenerative Biology from Harvard University, followed by postdoctoral training at the Whitehead Institute for Biomedical Research, MIT. Key research interests include RNA-mediated transcriptional regulation, nuclear condensates, RNA structure-function relationships, and the development of RNA-based therapies. The lab combines experimental and computational methods to study how RNA defects contribute to human diseases like cancer and neurodevelopmental disorders. Recent work includes identifying how RNA synthesis patterns nuclear condensates and discovering roles for rRNA G-quadruplexes in nucleolar protein condensation. The lab received a Kaufman Foundation New Investigator Grant to explore RNA's role in directing transcription. Advising and grants: Jonathan mentors a diverse team of PhD, Master’s, and undergraduate students. Notable advisees include Haoran Wang, Lydia Phillips, and Arth Banka. Current projects involve synthetic transcriptional condensates and bioinformatic discovery of RNA regulatory elements. Labs and collaborations: The lab is equipped with state-of-the-art microscopy (e.g., Zeiss Lattice SIM 5) and collaborates with groups at CMU, Pitt, and NYU. Regular scientific events include the Steel City Condensate Club Symposium.

Maddie JamesView profile

Research Fellow

• Genetics
• Evolutionary Biology
• Genomics
• +3 more

Dr Maddie James is a Postdoctoral Research Fellow at the School of the Environment, The University of Queensland. Her research focuses on evolutionary genetics, particularly the genetic basis of adaptation, parallel evolution, and speciation. She explores topics such as genomic consequences of selection, genetic architecture of adaptive traits, and the interplay between phenotypic and genotypic divergence. Her work spans plant systems and mosquitoes, addressing questions related to ecological speciation, hybrid sterility, and virome diversity. James holds a PhD in Biological Sciences from The University of Queensland (2021). Her doctoral thesis, *The Nature of Parallel Evolution*, investigated replicated evolutionary patterns in natural populations. She collaborates widely, with key projects including studies on Australian mango genetic diversity and adaptive divergence in wildflowers. Her research outputs emphasize interdisciplinary approaches, combining genomic data with ecological observations to dissect mechanisms underlying evolutionary processes. Notable contributions include identifying genetic signatures of parallel evolution in plants and mosquitoes and elucidating how developmental processes influence genomic responses to selection.

Leslie SabistonView profile

Assistant Professor

• Political Anthropology
• Legal Anthropology
• Medical Anthropology
• +3 more

Leslie Sabiston is an Assistant Professor in the Department of Anthropology at McGill University. They hold a Ph.D. from Columbia University (2021) and identify as Red River Métis from Aswahonanihk (Selkirk), Manitoba. Their work bridges political, legal, and medical anthropologies with Indigenous Studies, focusing on decolonization and Indigenous futurities. Research examines colonial structures through Fetal Alcohol Spectrum Disorder (FASD), analyzing its role in criminal justice, medical, and social welfare systems in Canada. Education: Ph.D. in Anthropology, Columbia University (2021). Research interests include colonialism, race, class, gender, and sexuality, with a focus on how dominant systems shape settler and Indigenous lives. Their ethnographic work spans courtrooms, bureaucratic archives, medical settings, and social welfare programs. Teaching emphasizes courage, vulnerability, and humility, using anthropology and ethnography to confront societal complexities. No scientific awards or grants are listed. Office: Stephen Leacock Building, Room 722. Office hours: Thursdays 14:30–16:00.