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Rodolfo AramayoView profile

Associate Professor

• Computational Biology
• Genomics
• Bioinformatics
• +5 more

Rodolfo Aramayo is an Associate Professor at Texas A&M University, affiliated with the Faculty of Genetics and the Master of Biotechnology Program. He joined the university in 1997 and maintains an active research laboratory focused on computational biology and genomics. His work bridges biological information systems, computational algorithm development, and experimental genetics using model organisms. Dr. Aramayo holds a B.Sc. (1982) and M.Sc. (1986) in Molecular Biology from the University of Brasilia, Brazil, and a Ph.D. in Genetics (1992) from the University of Georgia. He completed postdoctoral training at the University of Wisconsin and Stanford University. His research program investigates fundamental questions in biological information processing: Developing computational algorithms for genome data analysis, particularly addressing challenges in transcriptional profiling and sequence variation detection Digitalization of genomic information to enable novel computational comparisons and pattern recognition across organisms Regulatory roles of non-coding RNAs in ribosomal function and translational control Molecular mechanisms of meiotic silencing and sequence comparison in fungal meiosis using Neurospora crassa Recent publications show strong emphasis on bioinformatics tool development (2024-2025) for genomic data processing and visualization. His peer-reviewed research spans fungal epigenetics, translational regulation, neurobiology, and microbial genomics. Article keywords predominantly include computational biology, genomics, and molecular genetics methodologies. Dr. Aramayo has secured substantial research funding including NSF ACCESS allocations (2021-2025), NIH grants (R01 GM123139-01), and institutional awards supporting genomics and materials science initiatives. He directs the Aramayo Lab, which develops open-source bioinformatics tools available through GitHub and Zenodo. Current projects include digital biology approaches to simplify genomic analysis and reveal novel biological patterns.

Steve GrangerView profile

Assistant Professor

• Occupational health psychology
• Workplace safety
• Job design
• +3 more

Dr. Steve Granger serves as Assistant Professor in the Management Department at Concordia University's John Molson School of Business, with a complementary research appointment in the School of Health. His academic journey includes a PhD in Organizational Behaviour and Human Resources from the University of Calgary, preceded by MSc and BA (hons) degrees from the University of Manitoba. Granger's research program investigates workplace adversity through three interconnected lenses: occupational health psychology examining mental-physical health interdependencies, leadership processes analyzing how leaders mitigate adversity impacts, and job design developing evidence-based safety interventions. His work uniquely bridges organizational behaviour with clinical perspectives, particularly through the School of Health affiliation. Recent publication trends (2021-2025) reveal accelerating productivity with increasing methodological sophistication - from foundational gig economy studies to current meta-analyses and longitudinal lifespan research. Key thematic clusters include bidirectional work injury-mental health relationships, leadership emergence from socioeconomic adversity, and safety resource allocation frameworks. Granger maintains active supervision of MSc and PhD students in Management and Business Administration programs, with current projects focusing on gig worker resilience, cross-generational safety communication, and leadership development through adversity. His research is supported by significant external funding including an SSHRC Insight Grant ($223,204 CDN; 2025-2030) and WorkplaceNL partnerships. The Gig Work Life research platform (https://www.thegigworklife.com/) serves as the primary hub for his gig economy investigations, while his School of Health affiliation enables integrated approaches to workplace injury recovery through clinical-organizational partnerships.

Amy WilesView profile

Associate Professor

• Genetics
• Molecular Biology
• Bioinformatics
• +5 more

Dr. Amy Wiles serves as Associate Professor of Biology in the Department of Biology at Mercer University's College of Liberal Arts and Sciences. She teaches core courses including Genetics (BIO 310), Bioinformatics (BIO 415), Eukaryotic Cell Biology (BIO 460), and Biochemistry I (BMB 465), alongside interdisciplinary offerings like Among Gods and Heroes (GBK 101). Her educational foundation includes: B.S. in Biology from Mississippi College Ph.D. in Biochemistry and Cellular and Molecular Biology from The University of Tennessee, Knoxville Postdoctoral Fellowship in Systems Biology at the Greehey Children’s Cancer Research Institute, UT Health Science Center at San Antonio Specializing in Genetics, Molecular Biology, and Bioinformatics, Dr. Wiles investigates cellular nutrient response mechanisms through integrated computational and experimental approaches. Her work leverages protein-protein interaction networks (interactomes) and cross-species comparative genomics to elucidate pathways linking nutrient metabolism to disease—particularly how sulfur metabolism defects impact liver function and nitrogen metabolism disruptions affect amino acid synthesis. She employs Saccharomyces cerevisiae for wet-lab validation while conducting in silico analyses across diverse species. Publication trends from 2001-2010 reveal consistent focus on bioinformatics methodology development (RNAi screening validation, interactome analysis) and nutrient transporter biology across kingdoms. Her research bridges computational genomics with experimental molecular biology to address fundamental questions in cellular nutrient sensing. Dr. Wiles actively mentors students through hands-on research opportunities spanning bench work and computational analysis in her laboratory. Her program emphasizes skill development in both classical molecular techniques and modern bioinformatics approaches within the context of nutrient response pathways. Her laboratory environment integrates wet-lab experimentation with computational genomics, creating collaborative spaces where students investigate protein networks and nutrient biology using yeast models and cross-species comparative frameworks.

Steve GuglielmoView profile

Associate Professor

• Moral Psychology
• Social Cognition
• Mental State Judgments
• +3 more

Steve Guglielmo is an Associate Professor in the Department of Psychology at Macalester College, where he conducts research on moral judgment and social cognition. His work examines how mental state inferences shape moral evaluations, with particular focus on asymmetries between blame and praise. His educational background includes a BA from SUNY Geneseo, an MS from the University of Oregon, and a PhD in Social Psychology from Brown University (2012). After his PhD, he served as a Lecturer in the Cognitive Science Program at Yale University before joining Macalester in Fall 2013. Research Interests Guglielmo's research centers on moral psychology and social cognition , specifically investigating how people interpret behavior through mental state judgments (knowledge, desire, intention) to form moral evaluations. His work challenges traditional views by examining whether morality influences intentionality judgments rather than vice versa. Key areas include blame-praise asymmetries (where negative moral judgments show greater differentiation and extremity), timing of moral judgments , and applications of Moral Foundations Theory to political and media contexts. Analysis of his 15 most recent publications reveals consistent focus on moral judgment mechanisms, with increasing attention to political applications and cross-cultural dimensions. His work frequently employs experimental methods to dissect cognitive processes underlying moral evaluations. As Principal Investigator of the Morality and Social Cognition (MASC) Lab , he mentors undergraduate research assistants. Current lab members include Robert Reiss (focusing on moral/political psychology), Ruby Rogers (interested in clinical applications), and Kaiyuan Yang (exploring AI-cognition connections). The lab has trained numerous alumni who have pursued psychology careers.

Oyku Eren OzsoyView profile

Assistant Professor

• Bioinformatics
• Machine Learning
• Linear Optimization
• +5 more

Dr. Oyku Eren Ozsoy serves as Assistant Professor in the Department of Electrical, Computer and Software Engineering within Embry-Riddle Aeronautical University's College of Engineering, a position she joined in 2023. Her academic trajectory spans Turkish institutions including Middle East Technical University (Ph.D. in Medical Informatics), Baskent University (M.S./B.S. in Computer Engineering), and Hacettepe University, complemented by industry experience as co-founder of Mantis Software Company. With over seven years of teaching expertise in computer science courses, she bridges theoretical knowledge and practical applications. Her educational credentials include: Ph.D. in Medical Informatics, Middle East Technical University M.S. in Computer Engineering, Baskent University B.S. in Computer Engineering, Baskent University Dr. Ozsoy's research centers on bioinformatics, machine learning, and linear optimization with specific focus on biological network construction and allergen protein classification. She develops computational frameworks integrating protein-protein interaction (PPI) and RNA interference (RNAi) data to model signaling pathways in host-pathogen systems, advancing understanding of temporal dynamics in infections like Salmonella. Her work applies algorithmic approaches to microRNA target recognition and automated protein analysis, creating tools with biomedical applications. Analysis of her publications (2008-2015) reveals consistent contributions to computational biology, with increasing complexity in network modeling and temporal dynamics. The research demonstrates strong interdisciplinary integration of computer science, optimization theory, and molecular biology, particularly in pathogen-host interaction studies. Her methodological emphasis on linear programming for large-scale data analysis remains a unifying thread across publications. Key recognitions include: METU Thesis of the Year Award (2014) Heidelberg University Visiting Scientist Fellowship (2011) Baskent University Graduate Scholarship (2006) Dr. Ozsoy's research program combines EU-funded projects (SYSPATHO FP7), national grants (TUBITAK), and industry experience to support student training in computational biology. Her international collaborations and cross-disciplinary approach provide students with exposure to global research standards and real-world software development. Current teaching responsibilities in core computer science and engineering courses reflect her commitment to foundational education. Although no formal lab name is specified, her research group operates at the intersection of computer science and biology, focusing on algorithmic solutions for biomedical problems. The team leverages interdisciplinary methodologies and international partnerships to advance computational approaches in network biology and protein analysis.

• Wireless Communications
• Signal Processing
• Artificial Intelligence
• +5 more

Berker Peköz serves as Assistant Professor in the Department of Electrical Engineering and Computer Science at Embry-Riddle Aeronautical University's College of Engineering. His expertise spans wireless communications, artificial intelligence security, and hardware systems, with significant contributions to 5G/6G technologies and aerospace applications. His educational foundation includes: B.S. in Electrical & Electronics Engineering M.S. in Electrical Engineering Ph.D. in Electrical Engineering Research focuses on cutting-edge intersections of communications and AI, particularly transformer model security, antenna-based authentication, and error-correction for emerging hardware. His work bridges theoretical innovation with practical aerospace implementations, evident in patents for antenna array geometries and publications addressing real-world challenges like contested IoT environments and spectral efficiency. Recent publications (2019-2025) show accelerating output with increasing emphasis on AI security frameworks. Scientific recognition includes: National Academy of Inventors membership (2019) Tau Beta Pi honor society induction (2018) Funding is evidenced through patent activity and consistent publications, though specific grants aren't detailed. He mentors students through undergraduate courses (EE 307 Avionics I, EE 327 Electrical Engineering Fundamentals) with likely graduate research supervision in communications security. His interdisciplinary approach connects electrical engineering fundamentals with next-generation AI and aerospace systems, positioning students for careers in secure communications and hardware innovation.

• Experimental Jurisprudence
• Law and Psychology
• Cognitive Science
• +3 more

Roseanna C Sommers serves as Professor of Law at the University of Michigan Law School and Faculty Associate at the Research Center for Group Dynamics, Institute for Social Research. Her interdisciplinary work bridges legal theory with empirical social science to examine systemic misunderstandings between law and human cognition. Her research pioneers experimental jurisprudence, investigating how people intuitively interpret legal concepts like consent, autonomy, and moral responsibility. Key studies analyze voluntary action determinants and autonomy interferences including coercion, deception, incapacity, and manipulation. This work critically evaluates whether existing legal doctrines align with empirical findings from cognitive and social sciences. Professor Sommers has received prestigious recognition including: SAGE Early Career Trajectory Award (2024) - first law professor honored for social psychology research excellence Rising Star designation by the Association for Psychological Science (2025) Funded by the National Science Foundation, she founded the Psychology and Law Studies (PALS) Lab for original research at the law-psychology intersection. She co-organizes the Chicago/Michigan PALS speaker series with the University of Chicago Law School, fostering academic collaboration through virtual workshops. Her laboratory initiatives include directing the PALS Lab and developing the Chicago/Michigan speaker series as key platforms for advancing experimental jurisprudence research.

• Bioinformatics
• Genomics
• Non-coding RNA Research
• +4 more

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.

José Aurelio Santana AlmeidaView profile

Professor

• Signal Processing
• Telecommunications
• Wireless Networks
• +5 more

José Aurelio Santana Almeida is a Full Professor at the University of Las Palmas de Gran Canaria, affiliated with the Department of Signals and Communications and the Institute of Cybernetics, Enterprise and Society. His research spans telecommunications engineering with specializations in signal processing, wireless networks, and image analysis. Primary research interests include: Energy-efficient wireless networks for smart city infrastructure Medical and satellite image processing algorithms Ubiquitous sensor communications and IoT systems Telecommunications systems optimization Recent publications (2014-2019) demonstrate a strong focus on WiFi optimization, mesh networks, and sensor communications for urban environments, while earlier work (2003-2004) established foundations in medical image processing including MRI analysis and nonrigid registration techniques. Professor Santana has supervised 14 bachelor/master's theses projects, primarily focused on: Medical image processing and visualization Wireless sensor platforms Satellite image correction and analysis Network infrastructure development

Ronald R. MartinView profile

Professor

• Gerontology
• Health Psychology
• Pain Management in Aging
• +4 more

Dr. Ronald R. Martin serves as Professor in the Department of Educational Psychology and Coordinator of the MA/MSc Program in Gerontology at the University of Regina's Faculty of Education. A Registered Doctoral Psychologist, he maintains an active research program supported by Tri-Council and provincial funding, with committee leadership roles including Chair of the Faculty of Education Research Ethics Board. His academic journey includes: Ph.D. in Clinical Psychology, West Virginia University (1998-2001) Pre-Doctoral Internship, University of Rochester School of Medicine (2001-2002) Post-Doctoral Fellowship, University of Regina (2002-2004) M.A. degrees in Counselling Psychology and Lifespan Development from University of Victoria B.A. in Psychology, Queen's University Dr. Martin's research bridges gerontology and health psychology, with dual emphases on teacher wellness and senior health. His work develops practical interventions for work-related stressors in new educators and addresses critical issues in senior care including pain management and falls prevention among dementia patients. Current projects focus on multidimensional approaches that integrate online peer support networks for teachers and comprehensive care improvements for long-term care residents. His publication record demonstrates consistent contributions to aging research, with recent work emphasizing psychosocial dimensions of pain and functional decline. Key trends include longitudinal examination of fear-avoidance behaviors in seniors and ethical analysis of healthcare systems serving aging populations. Scientific recognition includes: New Investigator’s Award (Saskatchewan Health Research Foundation, 2006) Dr. Martin actively mentors graduate students through the Gerontology program and leads significant grant-funded initiatives including a $2.4M provincial team grant implementing nutritional improvements, falls prevention, and person-centered care enhancements in long-term facilities. His SSHRC-funded teacher wellness project develops innovative support networks addressing early-career stressors through peer collaboration and health-promoting behaviors. Professional engagement extends to community service as former Board Member of the Alzheimer's Society of Saskatchewan (2005-2007) where he chaired the Research Priorities Committee, demonstrating commitment to translating research into community impact.

María Teresa Sánchez NietoView profile

Professor

• Translation Studies
• Corpus Linguistics
• German-Spanish Translation
• +3 more

María Teresa Sánchez Nieto is a Professor in the Department of Spanish Language - Translation and Interpreting at the University of Valladolid's Faculty of Translation and Interpreting. With a career spanning over two decades since earning her Bachelor's Degree in German Philology in 1996, she has established herself as a significant scholar in Translation Studies, particularly in German-Spanish translation. Her research interests focus on Translation Studies, Corpus Linguistics, Contrastive Linguistics, and specialized translation domains, particularly wine industry terminology. She has developed expertise in analyzing cultural references in translation, resultative constructions across languages, and the application of parallel corpora to translation research. Her publication record shows a consistent output since the late 1990s, with a notable increase in scholarly contributions from 2007-2021. Her work demonstrates a clear trajectory from foundational translation studies toward specialized corpus-based research, with increasing focus on domain-specific translation (particularly vitiviniculture) and methodological innovation in translator training. Translation practices on the euro|topics press roundup: a case study (2021) Parallel corpora in focus (2019) Learner corpora and creative writing in translation pedagogy (2016) German-Spanish contrastive studies using parallel corpora (2011-2018) Wine industry terminology and cultural references in translation (2013-2015) Sánchez Nieto's research methodology combines corpus linguistics with practical translation challenges, often employing action research approaches to develop innovative translator training methods. Her work bridges theoretical translation studies with practical applications in specialized domains, making significant contributions to both academic knowledge and professional translation practice.

• Hydrogen Storage
• Magnetism
• Nanomaterials Synthesis
• +3 more

Dr. Palade Petru is a Scientific Researcher II at the National Institute of Materials Physics in Romania, specializing in hydrogen storage materials, magnetic nanomaterials, and advanced characterization techniques. His work bridges fundamental physics with practical energy applications through extensive collaboration with European research networks. Education: PhD in Physics (Condensed Matter Physics), 2002 Master Degree in Physics (Physics of Semiconductors), 1995 Bachelor Degree in Physics (Technological Physics), 1994 Postdoc at University of Padova, Italy (2003-2006) His research focuses on developing hydrogen storage solutions using mechanochemical methods and wet chemistry synthesis of magnetic nanoparticles. He pioneers the application of Mössbauer spectroscopy for local electronic structure analysis, particularly through conversion electron techniques. His computational work employs WIEN2k for band structure calculations of solids and molecules. Current projects target rare-earth-free permanent magnets and nanoconfined complex hydrides for vehicular hydrogen storage. Analysis of his publication trends reveals consistent leadership in magnetic nanomaterial characterization, with recent emphasis on biomedical applications (hyperthermia, drug delivery) and sustainable energy solutions. His work shows strong interdisciplinary integration of materials synthesis, advanced characterization, and computational modeling. Awards: Dragomir Hurmuzescu Prize from the Romanian Academy (2008) for hydrogen storage research He has secured significant research funding through national projects including PCCA PNCDI-2 (rare-earth-free magnets), PARTNERSHIP PNCDI-2 (STOHICO hydrogen storage project), and IDEAS PNCDI-2 (electronic mechanisms in intermetallics). His laboratory develops patented technologies for hydrogen-storing materials and iron nitride magnetic composites. The Laboratory of Magnetism and Superconductivity maintains specialized capabilities in Mössbauer spectroscopy across multiple isotopes, Sievert method hydrogen storage measurements, and Rietveld refinement of XRD data using Maud software.