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Frédéric GuillaumeView profile

Professor

• Evolutionary Biology
• Population Genetics
• Quantitative Genetics
• +4 more

Frédéric Guillaume is a Professor in the Organismal and Evolutionary Biology Research Programme at the University of Helsinki 's Faculty of Biological and Environmental Sciences. His work integrates computational and empirical approaches to study evolutionary processes under environmental change. Education: PhD in Evolutionary Biology (2005) and BSc in Biological Sciences (2001) from Université de Lausanne His research focuses on: Genetic architecture of complex traits Eco-evolutionary responses to climate change Genotype-phenotype mapping and adaptive constraints Forward-time simulation modeling using Nemo software Experimental evolution with Tribolium castaneum Recent publications (2021-2024) span: Quantitative trait analysis through identity-by-descent methods Gene expression evolution under novel environmental pressures Trade-offs between environmental robustness and evolvability Climate change impacts on alpine plant genetics Pleiotropy versus linkage in genetic correlation detection Active in academic service through: Supervision of Master's theses International research visits (ICTS 2024, UCSB 2022) Collaborative projects like WildAP (2023-2025) and MSCA SalmonScales (2023) He maintains the open science Nemo software ecosystem and contributes to initiatives like Peer Community Journal . His work combines theoretical modeling with experimental validation to predict species persistence under global change scenarios.

Barry K. LavineView profile

Professor

• Analytical Chemistry
• Spectroscopy
• Chemometrics
• +3 more

Barry K. Lavine is a Regents Professor of Chemistry at Oklahoma State University with a distinguished career in analytical chemistry, spectroscopy, and chemometrics. He has held leadership roles in the American Chemical Society (ACS), including Chair of both the Northern New York and Oklahoma sections, and served as Program Chair for multiple scientific meetings. His research focuses on chemical analysis applications such as optical sensors , vibrational spectroscopy , and chemometrics , with over 115 research papers and 16 review articles published. Recent work explores FTIR-based oil authentication, copolymer pH sensors, and MALDI-IMS-MS cancer biomarker detection. Selected for editorial excellence, Lavine has edited 3 ACS monographs and serves on the editorial boards of journals like Journal of Chemometrics and Sensors . His accolades include: 2015 Kowalski Prize 2017 Chemometrics Award (Eastern Analytical Symposium) Fellow of the Society for Applied Spectroscopy

• Neuroimaging
• Cerebrovascular Disease
• Aging
• +7 more

Dr. Laura Parkes is a Professor of Neuroimaging at The University of Manchester, specializing in neuroimaging techniques such as MRI and MEG. She holds a MPhys (Oxford), MSc (UCL), and PhD (UCL) in neuroimaging and cerebrovascular physiology. Her research focuses on quantifying neurophysiological properties of the human brain, particularly cerebral blood flow (CBF) and oxygen metabolism using arterial spin labeling (ASL). Key areas include aging, cerebrovascular disease, Parkinson’s, Alzheimer’s, and mechanisms of brain plasticity. She has received a Medical Research Council New Investigators Award (2006). Teaching roles: Neuroimaging Techniques (MSc), Physics of Medical Imaging (MPhys), Advanced MRI (MSc), Neuroscience tutoring (BSc) Collaborations: External with UCL, Lancaster, Nottingham, Liverpool, Leeds; Internal with over 15 Manchester researchers Professional memberships: International Society for Magnetic Resonance in Medicine, Society for Neuroscience Her work addresses cerebrovascular dysfunction in neurodegeneration, blood-brain barrier integrity, and sensory-motor plasticity. Recent advancements include MRI-based blood-brain barrier permeability measurements in rat models and human studies of oxygen extraction fraction in aging populations. Research outputs include 116 peer-reviewed articles (2025 highlights: ATRT tumor analysis, FEXI BBB measurements, and ENIGMA-PD neuroimaging collaboration). Projects funded by MRC and industry partnerships focus on vascular dysfunction in Parkinson’s, stroke, and dementia.

Rafael Bohn ReckziegelView profile

Research Fellow

• Agroforestry
• Windbreaks
• Alnus
• +7 more

Rafael Bohn Reckziegel is a Research Fellow at the Faculty of Science and Technology , focusing on remote sensing of riparian vegetation and environmental research. His work integrates terrestrial LiDAR and UAV-LS technologies to analyze woody vegetation structure and ecosystem services. Education : PhD in Structural and Functional Analysis of Trees (University of Freiburg, 2023), Master in European Forestry (University of Eastern Finland, 2018), Bachelor in Forest Engineering (Universidade Federal de Santa Maria, 2015). Research Interests include: Non-destructive biomass assessment Carbon stock quantification Agroforestry windbreak systems 3D vegetation phenotyping Hydrological and pedological interactions UN Sustainable Development Goals (SDG 13, 15, 2) Publication Trends show a focus on agroforestry applications in Southern Africa and Brazil, LiDAR-based structural analysis of woody plants, and carbon/water dynamics in integrated systems. Notable collaborations include J. P. Sheppard , S. Hassler , and E. Rochelmeyer . Labs & Teams involve international agroforestry research networks and remote sensing technology development groups. His work aligns with climate resilience studies and sustainable land-use practices.

Kerry L ShawView profile

Professor

• Behavioral Genetics
• Sexual Selection
• Speciation
• +3 more

Kerry L. Shaw is a Professor in the Department of Neurobiology and Behavior at Cornell University, affiliated with the College of Arts and Sciences. Their research focuses on behavioral genetics, sexual selection, speciation, and the genetic architecture of behavior, particularly in orthopteroid insects like Hawaiian swordtail crickets. Dr. Shaw’s work investigates mechanisms driving rapid speciation, including the genomic basis of behavioral evolution, sexual isolation, and ecological interactions. The Shaw Lab explores these questions using field and lab studies, genomics, and phylogenetic methods, with a primary focus on Hawaiian Laupala cricket species. Recent publications highlight studies on gene flow barriers, biogeographic patterns, and the role of sexual isolation in speciation. Their research bridges evolutionary genetics, ecology, and behavior, contributing to understanding how new species arise and diversify. Dr. Shaw teaches courses on speciation (BIONB 4530), animal behavior (BIONB 4200), and introductory neurobiology (BIONB 2210). The Shaw Lab actively engages in community-level studies of speciation and genomic analyses of speciation phenotypes.

• Metabolomics
• Mass Spectrometry
• Food Science
• +5 more

Dr. Jos Hageman is an Assistant Professor affiliated with the Mathematical and Statistical Methods group (Biometris) at Wageningen University & Research. His research focuses on integrating advanced analytical techniques (e.g., mass spectrometry, metabolomics) with statistical modeling to address challenges in food science, plant biology, and environmental systems. He specializes in developing predictive models for food product design, microbial activity analysis, and environmental impact assessment. Education: Not explicitly stated in provided texts. Key research interests include metabolomics-driven food innovation, lipid and protein interaction modeling, and the environmental effects of microplastics. His work combines proteomics, metabolomics, and statistical methods to investigate plant-microbe interactions, crop diversity, and sustainable agriculture. He has collaborated on projects involving statistical analysis of fermentation processes, QSAR modeling for antibacterial compounds, and machine learning for ingredient characterization. Recent publications highlight advancements in QSAR models for food systems, microplastic toxicity assessment, and lipid species analysis via mass spectrometry. His datasets include metabolite profiles of grassland plants and breast milk protein dynamics. As a co-promotor, he oversees PhD projects on kwashiorkor etiology, plant-based protein optimization, and bioreactor transcriptomics. Current active projects focus on improving plant-based food proteins and understanding kwashiorkor pathophysiology through causal learning. His work bridges analytical chemistry, computational methods, and applied biology, contributing to food security and environmental sustainability initiatives.

• Cardiovascular Diseases
• Comparative Effectiveness Research
• Data Science
• +3 more

Dr. Chungsoo Kim is a Research Fellow at Yale School of Medicine, affiliated with the Section of Cardiovascular Medicine and the Yale/YNHH Center for Outcomes Research and Evaluation (CORE). He holds a PharmD from Ajou University College of Pharmacy and a PhD in Biomedical Informatics from Ajou University Graduate School of Medicine. His research focuses on leveraging real-world data and AI methodologies to improve healthcare outcomes, including drug safety evaluations, comparative effectiveness analyses, and clinical decision-support systems. His work spans cardiovascular diseases, pharmacotherapy optimization, and public health informatics. Dr. Kim collaborates internationally on observational studies involving multi-country databases to address gaps in medication use, disparities in treatment uptake, and post-acute sequelae of diseases like COVID-19. Education: PharmD, Ajou University College of Pharmacy, 2019 PhD in Biomedical Informatics, Ajou University Graduate School of Medicine, 2024 Research Interests: Dr. Kim's work emphasizes real-world evidence generation through large-scale health data. Key areas include: Drug safety and comparative effectiveness using EHRs and claims data AI-driven predictive modeling for healthcare decision-making Pharmacoepidemiology and regulatory science Health disparities in medication access and outcomes Post-acute care and long-term outcomes of infectious diseases Research Trends in Articles: His publications highlight a focus on translational research using observational data to address critical clinical questions, such as optimizing antihyperglycemic therapies, evaluating cardiovascular risks of medications, and analyzing disparities in obesity treatment. Recent work includes methodological advancements in phenotypic prediction and multi-outcome modeling. Labs/Teams: Active contributor to the Center for Outcomes Research and Evaluation (CORE) and collaborator with the Observational Health Data Sciences and Informatics (OHDSI) global network.

• Neurobiology of depression
• Mental health
• Diet and mental health
• +4 more

Marc Molendijk is an Associate Professor at the Clinical Psychology department, Leiden University within the Social and Behavioural Sciences faculty. His research focuses on the neurobiology of depression, neuroplasticity, and intersections with diet, sexology, stress response, and chronic illness. He coordinates courses in Clinical Psychology, Sexology, and Pre-University College programs. Education: BSc (2006), MSc in Clinical Psychology (2008), PhD (2014, cum laude) at Leiden University. Research Themes: BDNF dynamics in depression, antidepressant pharmacology, stress-mental health links, and machine learning applications in alcohol use disorder prediction. Recent Work: His 2011 Molecular Psychiatry study (co-authored) systematically analyzed serum BDNF levels across 2,044 participants, revealing BDNF as a state marker for depression normalized during remission and specifically elevated by SSRIs/St. John's wort. This work challenges aspects of the neurotrophin hypothesis by dissociating BDNF levels from clinical depression severity. Methodological Expertise: Utilized the Netherlands Study of Depression and Anxiety (NESDA) cohort, including multivariable regression and cross-sectional ANOVA designs, with rigorous controls for covariates like BMI and medication adherence.

Michael Francis WanglerView profile

Associate Professor

• Pediatric genetics
• Peroxisomal disorders
• Medical genetics
• +4 more

Dr. Michael Francis Wangler is an Associate Professor at Baylor College of Medicine within the Graduate School of Biomedical Sciences and Department of Molecular & Human Genetics . His research focuses on pediatric genetics and peroxisomal disorders , using Drosophila models and genomics to study Mendelian disease mechanisms. Co-Director of Model Organisms Screening Center (MOSC) for Undiagnosed Diseases Network Active in clinical genetics at Texas Children's Hospital Research interests include: Deciphering molecular pathogenesis of rare diseases Genomics and metabolomics in peroxisome biogenesis disorders Functional validation of de novo variants Model organism applications in clinical genetics Recent publications highlight work on: DDX39B , RBBP5 , and DNMT3A variant-associated syndromes Biomarker discovery in peroxisomal diseases Neurodevelopmental disorder mechanisms via Drosophila Laboratory: Duncan Neurological Research Institute (Room DNRI-1050, Houston, TX)

Jessica N. Cooke BaileyView profile

Associate Professor

• Genetics
• Glaucoma
• Health Disparities
• +5 more

Jessica N. Cooke Bailey is an Associate Professor at East Carolina University's Brody School of Medicine, Department of Pharmacology & Toxicology, and holds an Adjunct Associate Professor position at Case Western Reserve University. Her work bridges genetics , bioethics , and population health to address disparities in complex disease research, particularly primary open-angle glaucoma (POAG) among underserved populations. Education : Ph.D., Molecular Medicine and Translational Science, Wake Forest University (2012) M.A., Bioethics, Case Western Reserve University (2018) B.S., Biology (Honors), Winthrop University (2008) Her research integrates trans-ancestral genomic data with community engagement to dissect POAG's genetic and non-genetic mediators. Key projects include the All Eyes on Us initiative (community perceptions of vision care) and the SIGHT Study (African American representation in glaucoma genetics). She collaborates with the VA Million Veteran Program and Jamaican Ophthalmologists to expand global diversity in research. Recent publications focus on polygenic risk scores in African-descent populations, cross-ancestry genome-wide studies , and community-engaged methodologies . Her work emphasizes electronic health record-based phenotyping and health disparities in glaucoma diagnosis and treatment. Scientific Awards : NIH CTSC KL2 Scholar Fellowship NIH T32 Postdoctoral Fellowships PhRMA Informatics Fellowship Rockefeller University Advanced Gene Mapping Course Mentoring : She actively mentors underrepresented trainees in academia, emphasizing interdisciplinary team science. Her lab includes experts from sociology , social work , genetics , statistics , and optometry .

Ravi MuralView profile

Assistant Professor

• Genomics
• Quantitative Genetics
• Plant Breeding
• +7 more

Ravi Mural is an Assistant Professor in the Department of Agronomy, Horticulture and Plant Science at South Dakota State University. His research focuses on enhancing sustainable crop production through genomics, quantitative genetics, and breeding, with a current emphasis on sorghum, maize, and cereals. He aims to bridge genotype-phenotype gaps by integrating large-scale biological data including phenomics, genomics, and transcriptomics. Key research areas include unraveling genetic architectures of agronomic traits, investigating genotype-environment interactions, and employing high-throughput phenotyping with sensors and imaging. The Mural Lab collaborates across disciplines (animal science, statistics, computer science) to advance breeding strategies and precision agriculture solutions. Recent work highlights applications of machine learning in crop trait analysis, drought tolerance mechanisms in plants, and scalable IoT systems for agricultural monitoring. The lab’s future plans include expanding research to millets and pulse crops. Advising emphasizes training students in quantitative genetics and big data analytics. Collaborations focus on interdisciplinary projects merging computational methods with field-based crop science.

• Sexual selection
• Sperm biology
• Gamete evolution
• +4 more

Jessica Hadlow is a researcher at the School of Biological Sciences , The University of Western Australia. Her work focuses on reproductive biology, sexual selection, and gamete evolution in marine invertebrates. Key research themes include: Sperm biology (morphology, motility, viability) Broadcast spawning dynamics in mussels Environmental impacts on reproductive fitness Phenotypic plasticity in gametes Recent publications examine: Rescue of sperm from phenotypic ageing by female fluids Multivariate selection on sperm traits Paternal environmental effects in external fertilizers Intergenerational responses to sperm competition Collaborations include researchers like J.P. Evans , R.A. Lymbery , and R.C. Firman . Her work is supported by grants from the Ecological Society of Australia.

Elizabeth AtkinsonView profile

Assistant Professor

• Statistical Genetics
• Population Genetics
• Genomic Analysis of Admixed Populations
• +5 more

Elizabeth Atkinson is an Assistant Professor in the Department of Molecular and Human Genetics at Baylor College of Medicine, where she leads the Atkinson Lab. Her research focuses on developing statistical and computational tools to improve the study of the genetic basis of neuropsychiatric traits in admixed populations. She is affiliated with the Computational and Integrative Biomedical Research Center and the Jan and Dan Duncan Neurological Research Institute at Baylor. Dr. Atkinson's research spans three primary areas: (1) applied and analytic work in statistical genetics; (2) investigations into human population structure and evolutionary history; and (3) the development of scalable computational methods and tools for population-aware genetic analysis. Her work emphasizes neuropsychiatric traits with a particular focus on admixed American populations, though many of the tools she develops are broadly applicable across phenotypes and populations. She plays a leadership role in multiple international consortia, including the Psychiatric Genomics Consortium (PTSD working group), Neuropsychiatric Genetics in African Populations (NeuroGAP), and the Latin American Genomics Consortium (LAGC). These collaborations support the development of globally representative resources for gene discovery and offer trainees valuable experience working with large-scale, richly phenotyped cohorts. Her recent publications reveal a strong focus on improving genomic analysis in diverse populations, with particular emphasis on local ancestry inference, cross-ancestry genetic studies, and addressing disparities in genomics research across ancestries. She has developed methods like Tractor that use local ancestry to enable the inclusion of admixed individuals in GWAS. International meta-analysis of PTSD genome-wide association studies Genetic structure correlates with ethnolinguistic diversity in eastern and southern Africa Tractor uses local ancestry to enable the inclusion of admixed individuals in GWAS Low-coverage sequencing cost-effectively detects variation in underrepresented populations Dr. Atkinson mentors several trainees including postdoctoral associates, graduate students, and bioinformatics analysts. Her lab members work on diverse projects spanning statistical method development, population genetic analyses, and psychiatric genetics research. She is actively recruiting for postdoctoral positions to lead research projects in statistical and population genomics across diverse human populations.

Sotiris MastoridisView profile

Academic

• Transplant Immunology
• Extracellular Vesicle Biology
• Surgical Outcomes
• +3 more

Sotiris Mastoridis is a Clinical Lecturer in General Surgery at the University of Oxford, affiliated with Jesus College. He holds academic appointments in both the Medical Sciences Division and the Department of Surgery. His academic background includes a medical degree from Imperial College London, an NIHR-funded Academic Clinical Fellowship in General Surgery, and a PhD in transplant immunology and extracellular vesicle biology from King’s College London. Research interests focus on immunological mechanisms governing tolerance and activation post-transplantation, alongside extracellular vesicle biology. He actively contributes to surgical outcomes research, particularly in pancreatic, hepatic, and oncologic surgeries. Mastoridis has published extensively on surgical innovation (e.g., robotic HPB surgery), pandemic-related surgical adaptations, and biomarker discovery in transplantation. His work integrates clinical practice with translational research, addressing challenges in surgical technique optimization, postoperative complication mitigation, and immunological tolerance in organ transplantation. Notable projects include predictive models for pancreatic surgery outcomes and investigations into IL-2’s role in regulatory T-cell function. Mastoridis teaches clinical medicine to undergraduate students at Jesus College, emphasizing surgical education and evidence-based practice. His research has been supported by international collaborations, as evidenced by his participation in multi-center studies like the COVDISurg initiative. He maintains a strong focus on advancing surgical preparedness globally and improving outcomes for complex surgical cases.

Daniel RobertsonView profile

Associate Professor

• Biomechanics
• Agricultural Engineering
• Crop Science
• +1 more

Daniel Robertson is an Associate Professor in Mechanical Engineering at University of Idaho's College of Engineering, directing the Grand Challenge Scholars Program. His research focuses on biomechanical solutions for agricultural challenges. Primary research areas include: Biomechanical phenotyping of crops Stalk lodging mechanisms in cereals Genomic-mechanical trait relationships Field-based mechanical testing systems Publications demonstrate consistent focus on quantifying plant mechanical properties through: Novel instrumentation development (DARLING phenotyping tool) Multivariate analysis of genetic × environmental interactions Computational modeling of plant tissue mechanics Material science approaches to agricultural composites