Find Academic Supervisors

• Health Psychology
• Fertility Treatment and Workplace Support
• Chronic Illness Management
• +4 more

Dr Nicola Payne is an Associate Professor in Psychology at Middlesex University's Faculty of Science and Technology, Department of Psychology. She holds dual professional registrations as a Health and Care Professions Council (HCPC) Registered Practitioner Health Psychologist and a Chartered Psychologist with the British Psychological Society (BPS). Her research focuses on health psychology topics such as fertility treatment experiences, chronic illness management (e.g., sickle cell disease), workplace well-being, and behavior change interventions. Dr Payne leads postgraduate research in the Department of Psychology, oversees the MSc Clinical Health Psychology and Wellbeing program, and teaches modules on health psychology applications and research methodologies. Education: BSc (Hons) Psychology (Hertfordshire), MSc Health Psychology (City University), PhD (Hertfordshire), and a Postgraduate Certificate in Higher Education (Middlesex University). Her work spans interdisciplinary collaborations, including studies on healthcare chaplains' workplace integration, skin cancer patients' psychotherapy experiences, and socioeconomic predictors of cooperative social behavior. Research interests include exploring temporalities of fertility treatment, health-related quality of life in pediatric populations, and the impact of workplace environments on employee health behaviors. She has published widely on topics such as firefighter well-being, midwifery stress, and the role of gamified applications in promoting healthy lifestyles. Current projects investigate long-term counseling outcomes for women in low-income communities and the psychological impact of fertility treatment cessation during the pandemic. Teaching responsibilities include mentoring over a dozen PhD students across diverse topics such as work-life balance in different family structures, workplace bullying dynamics, and cognitive behavioral therapy practitioner competence development. She has received grants for studies on diabetes-stress-depression relationships and has contributed to policy discussions on public sector austerity and work-life balance in the UK. Notable contributions include evaluating long-term counseling services for marginalized women and assessing the impact of the pandemic on Reiki practitioners. Her work emphasizes translating research into practical interventions for clinical and occupational health settings.

Patrik RydénView profile

Professor

• Mathematical Statistics
• Data Analysis
• Ambulance Care Optimization
• +3 more

Patrik Rydén is a Professor of Mathematical Statistics at the Department of Mathematics and Mathematical Statistics, Umeå University, where he applies statistical methods to complex datasets. He also directs the Industrial Doctoral School for Research and Innovation , fostering academia-industry collaboration. His research spans healthcare (ambulance logistics, cancer diagnostics), industrial optimization (automotive quality control), and bioinformatics. Research Focus Rydén develops data-driven methodologies for: Healthcare : Optimizing ambulance deployment, predicting patient care times, and modeling disease spread. Industry : Statistical process control for manufacturing and quality improvement. Bioinformatics : Cancer subtype identification and vaccine efficacy modeling. Publication Trends His recent work emphasizes applied statistics in healthcare (40%), industrial machine learning (30%), and genomic analysis (30%), with strong themes in predictive modeling, spatio-temporal analysis, and high-dimensional data interpretation. Leadership & Projects As director of the Industrial Doctoral School, he bridges academic research with industry needs. Key projects include: Predicting post-anesthesia care time using ML (2022–2027) Data-driven prehospital care optimization (2018–2028) Statistical learning for industrial defect detection (2017–2023)

Alan GoddardView profile

Professor

• Membrane Biology
• Biochemistry
• Biotechnology
• +6 more

Professor Alan Goddard is a Professor of Biotechnology at the School of Biosciences, Aston University. He is affiliated with the Aston Institute for Membrane Excellence (AIME) as Training and Industry Lead, and the Biosciences Research Group. His research focuses on membrane proteins, lipid membranes, and bioinspired membrane technologies. He holds a BSc and PhD from the University of Warwick and a PGCE from the University of Lincoln. Research interests include GPCRs, transporters, membrane biogenesis, antimicrobial effects on membranes, and industrial biotechnology collaborations. He has supervised over 20 PhD/MSc students and postdoctoral researchers, many now in academic and industrial roles. Key grants include £500k Wolfson Foundation funding for the Wolfson Centre for Membrane Excellence and a £1.7M BBSRC Midlands Integrative Biosciences Training Partnership. He leads projects on bioinspired filtration membranes and membrane protein production optimization. Scientific achievements include developing lipid-based assays, advancing membrane protein purification methods, and characterizing microbial membrane adaptations. A Principal Fellow of the Higher Education Academy, he also contributes to editorial boards for journals like Antibiotics and Membranes.

Leighton CoreView profile

Associate Professor

• RNA transcription
• Gene expression regulation
• Genomic techniques
• +4 more

Leighton Core is an Associate Professor in the Department of Molecular and Cell Biology and Genetics and Genomics at the University of Connecticut. His research focuses on understanding how RNA transcription and processing influence cellular states during development and disease progression. Using genomic techniques and bioinformatics, his lab identifies transcriptional signatures of cell types and elucidates fundamental transcription mechanisms. Education: PhD in Molecular Biology and Genetics, Cornell University Postdoctoral Training: Molecular Biology and Genetics, Cornell University Bachelor’s Degree in Biology, Boston College Research Interests: Core’s lab investigates RNA transcription dynamics, particularly how changes in transcription and processing drive cellular responses. Key areas include enhancer activity, paused RNA polymerase II regulation, and the interplay between transcriptional mechanisms and cellular states. Techniques employed include PRO-seq and chromatin run-on sequencing to map transcriptional landscapes. Publications: Recent work highlights contributions to understanding transcriptional regulation in cancer (e.g., glioblastoma), epigenetic mechanisms (e.g., histone acetylation), and novel methodologies like optimized PRO-seq. Over 30 peer-reviewed articles span topics from centromere biology to stem cell differentiation. Labs/Teams: Leads a research group focused on transcriptional genomics, collaborating on projects involving cancer epigenetics and developmental biology.

Pei Fen KuanView profile

Professor

• Statistical Genomics
• Computational Biology
• Bioinformatics
• +3 more

Pei Fen Kuan is a Professor in the Department of Applied Mathematics and Statistics at Stony Brook University. She holds a Ph.D. in Statistical Genomics from the University of Wisconsin-Madison. Her research focuses on developing statistical methodologies for analyzing high-throughput omics data, particularly in genome biology and psychiatric/cancer-related studies. She leads projects on ChIP-Seq, RNA-Seq, and DNA methylation analysis, with significant contributions to the WTC Wellness Program studying trauma-related disorders. Education: Ph.D. in Statistics (2009), University of Wisconsin-Madison; B.S. (details not specified). Research interests include computational biology, epigenetics, and integrative omics, with a focus on PTSD, cognitive aging, and melanoma genetics. She has developed R packages like methylGSA and RNAAgeCalc for bioinformatics analysis. Current grants include NIH/NIA and CDC/NIOSH funding for PTSD and aging studies. Lab involvement: Directs the WTC Wellness Program research team, focusing on gene-environment interactions in responders' health. Collaborates internationally via the InterMEL consortium for melanoma studies. Teaching: Courses in computational statistics and statistical genomics (details inferred from departmental role).

Kadir C. AkdemirView profile

Assistant Professor

• Cancer Genomics
• Computational Biology
• Chromatin Organization
• +4 more

Dr. Kadir C. Akdemir is an Assistant Professor in the Department of Neurosurgery at The University of Texas MD Anderson Cancer Center. His research focuses on integrating computational analyses and multi-omics data to understand chromatin organization and genomic alterations in brain tumors. He leads the Akdemir Lab, which collaborates with global initiatives like the NIH’s 4Dnucleome project and the Break Through Cancer Foundation’s GBM program. Education: Ph.D. in Genetics and Epigenetics from the UTHealth Houston Graduate School (2013), postdoctoral training at MD Anderson’s Genomic Medicine Department. His work combines computer science and genetics to develop tools for analyzing cancer genomes. Research interests include chromatin folding dynamics, somatic rearrangements, and computational methods for genomic data integration. His lab studies glioblastoma and chordoma, focusing on tumor evolution and microenvironment interactions. Notable achievements include identifying ERBB2 alterations in esophageal adenocarcinoma brain metastases and elucidating the role of KDM5D in colon cancer sex differences. He holds grants from NCI, Break Through Cancer, and the UT Rising Stars Award. Lab membership includes PhD/Master’s students and postdocs working on projects like spatial transcriptomics and ecDNA dynamics. Collaborations span institutions like the Brain Cancer SPORE team and the GBM Moonshot initiative.

Paul AbbyadView profile

Professor

• Microfluidics
• Biological Assays
• Chemical Assays
• +3 more

Paul Abbyad is a Professor in the Department of Chemistry and Biochemistry at Santa Clara University, part of the College of Arts and Sciences. He holds a Ph.D. from Stanford University and a B.Sc. from McGill University. His research focuses on developing microfluidic droplet technologies for biomedical applications, particularly in single-cell analysis and label-free cell sorting. The lab emphasizes undergraduate involvement, with many publications co-authored by undergraduates. Abbyad has been recognized with prestigious awards including the NSF Career Award (2018-2023) and the Henry Dreyfus Teaching-Scholar Award (2019-2024). His work bridges fundamental science and engineering, addressing challenges in cell metabolism, cancer diagnostics, and bioanalytical systems. Education: Ph.D., Stanford University B.Sc., McGill University Research Focus: His lab leverages microfluidic platforms to study droplet-based assays for protein and cellular analysis. Key areas include: - Label-free sorting via interfacial tension (SIFT) - Single-cell glycolysis and lactate release profiling - Radiometric assays for cancer cell metabolism - Microfluidic circuit design for biological material analysis Awards & Grants: National Science Foundation Career Award (2018-2023) National Institutes of Health R15 Award (2018-2021) Henry Dreyfus Teaching-Scholar Award (2019-2024) Lab & Teaching: The Abbyad Lab at Santa Clara University emphasizes collaborative undergraduate research. Courses taught include Biophysical Chemistry (Chem 150) and Physical Chemistry Lab (Chem 154), integrating hands-on microfluidic experiments. The lab's innovations have led to patented technologies and front-cover journal highlights.

• Lateral Gene Transfer
• Genomics
• Bacterial Pathogens
• +3 more

Dr. Julie C. Dunning Hotopp is a Professor in the Department of Microbiology and Immunology at the University of Maryland School of Medicine. She is also a Member of the Institute for Genome Sciences and leads research on bacterial DNA integration into animal genomes, with implications for both evolutionary biology and human health. Primary Appointment : Microbiology and Immunology Additional Affiliation : Institute for Genome Sciences Research Overview : Dr. Dunning Hotopp's groundbreaking work focuses on lateral gene transfer (LGT) between bacteria and animals, notably documenting widespread LGT in invertebrates (Dunning Hotopp et al., 2007 Science ) and investigating bacterial DNA integration into human somatic genomes, particularly in cancer (2013 PLoS Comput Bio ). Her lab explores genomic interactions between pathogens like Wolbachia , Ehrlichia , Anaplasma , and Neisseria meningitidis and their hosts. Scientific Awards : 2010 NIH Director’s New Innovator Award 2010 Leading Women of Maryland (Maryland Daily Record) 2010 Genome Technology Young Investigator 2015 NIH Transformative Research Award Recent Publications examine bacterial integration in Drosophila ananassae , filarial nematodes, and human cancers, alongside developing bioinformatics tools for microbial comparative genomics. Labs & Teams : Her research group at the Institute for Genome Sciences investigates LGT mechanisms and pathogen-host genomics, with projects spanning computational genomics, transcriptomics, and public health implications.

Charles GuView profile

Associate Professor

• Genetic Epidemiology
• Statistical Genetics
• Machine Learning in Biomedical Data
• +5 more

Charles Gu is an Associate Professor of Biostatistics and Genetics at Washington University in St. Louis, affiliated with the Roy and Diana Vagelos Division of Biology & Biomedical Sciences (DBBS), the Institute for Informatics, and the Center for Biostatistics and Data Science (CBDS). His research focuses on genetic epidemiology and statistical genetics, particularly in developing computational methods for analyzing high-dimensional genetic data and studying gene-environment interactions in complex diseases like hypertension, cardiovascular disorders, and metabolic syndromes. Key affiliations include the DBBS programs in Biomedical Informatics, Computational and Systems Biology, and Human and Statistical Genetics. He mentors PhD/MSTP students and collaborates internationally on large-scale genomic studies. Recent work includes studies on clonal hematopoiesis, lipid metabolism, and blood pressure prediction using machine learning. His 164+ publications span genetic association studies, epigenetic research, and multi-omics approaches, with a focus on translating statistical methods to clinical insights. Notable projects involve genomic analyses of atrial fibrillation, coagulation factors, and the impact of lifestyle on genetic traits.

Julia SalzmanView profile

Associate Professor

• RNA Biology
• Computational Biology
• Genomics
• +4 more

Julia Salzman is an Associate Professor at Stanford University, affiliated with the School of Medicine in the Departments of Biomedical Data Science and Biochemistry , with courtesy appointments in Statistics and Biology . She serves as a member of interdisciplinary centers including Bio-X , Stanford Cancer Institute , and Sarafan ChEM-H . Salzman's research focuses on statistical computational biology , particularly RNA splicing , cancer genomics , and microbial systems . Her lab develops algorithms like SPLASH (Statistically Primary aLignment Agnostic Sequence Homing) and SICILIAN for precise splice junction detection, enabling reference-free analysis of genomic data across human , non-model organisms , and planetary health applications (e.g., oceanic systems , plants ). Her 15 most recent publications span 2024–2016, covering topics from cell-free RNA diagnostics to circular RNA in disease . Key methodologies include DEEPEST for gene fusion detection and SQUICH for logarithmic molecular sampling. These works highlight her contributions to cancer biology and viral pandemic response . Scientific Awards include Arc Ignite Investigator (2023) NSF CAREER AWARD (2016) Alfred P. Sloan Research Fellow (2014) Baxter Faculty Scholar Award (2014) Salzman's funding history includes NIH Pathway to Independence and NSF grants . She mentors PhD and Master’s students through courses like BIOMEDIN 290 and BIODS 228 , while leading the Salzman Lab in advancing computational genomics and biological modeling .

Andrea CrisantiView profile

Professor

• Molecular Parasitology
• Gene Drive Technology
• Malaria Control
• +7 more

Professor Andrea Crisanti is a leading academic in Molecular Parasitology at Imperial College London's Department of Life Sciences (Faculty of Natural Sciences). His research focuses on developing gene drive technologies to combat malaria by genetically modifying mosquitoes. His lab demonstrated CRISPR/Cas9-driven population suppression via targeting the doublesex gene, which disrupts female development and could eliminate malaria vectors. Recently, he coordinated the groundbreaking Vo' Euganeo study on early SARS-CoV-2 outbreak management, informing national and international pandemic strategies. Affiliations: Imperial College Network of Excellence in Malaria, Infection and Immunity, Vaccine Research Network Led the development of synthetic biology tools for vector control and agricultural pest management Co-developed Y chromosome-linked gene drives and anti-CRISPR safeguards Contributed to WHO-endorsed guidelines for mosquito containment facilities Research interests span molecular mechanisms of mosquito reproduction, gene drive evolution, and translational applications of synthetic biology in public health. His lab also engages in community outreach through exhibitions and school programs. Notable collaborations include: Target Malaria Consortium Italian Veneto Regional Health Task Force European Infravec2 initiative Laboratory infrastructure includes advanced molecular biology facilities and large-scale mosquito testing environments. Funded by major grants from Wellcome Trust, EU Horizon programs, and philanthropic organizations.

Maria EricssonView profile

Researcher

• Electron Microscopy
• Cell Biology
• Structural Biology
• +3 more

Maria Ericsson, B.S., is the Director of the Harvard Medical School (HMS) Electron Microscopy Core within the Cell Biology Department. She joined HMS in 1995 to establish the Electron Microscopy Facility, following her B.Sc. in Chemistry from Uppsala University (Sweden) and specialization in electron microscopy at the European Molecular Biology Laboratory (EMBL) in Heidelberg, Germany. Her work focuses on advancing ultrastructural studies, providing expertise in sample preparation (TEM/SEM), high-pressure freezing, immunogold labeling, and imaging support for researchers. Ericsson collaborates extensively on projects involving Parkinson’s disease, Alzheimer’s disease, and viral pathogenesis (e.g., SARS-CoV-2). Her publications highlight contributions to neurodegenerative mechanisms, mitochondrial function, and microscopy techniques. Ongoing research emphasizes the role of electron microscopy in understanding cellular processes, protein aggregation, and immune responses. As Core Director, she supports over 89 publications, including studies on α-synuclein in Parkinson’s, amyloid-β in Alzheimer’s, and SARS-CoV-2 lung pathology. Her facility bridges technical expertise with cutting-edge research, aiding advancements in structural biology and disease modeling.

• Aptamer Technology
• Optogenetics
• Targeted Therapies
• +4 more

Prof. Günter Mayer is a Professor at the University of Bonn's Life and Medical Sciences Institute (LIMES) and affiliated with the Faculty of Mathematics and Natural Sciences. His research focuses on aptamer technology, optogenetics, and targeted therapies, aiming to develop molecular tools for precise biological investigation and clinical applications. Key projects include using in vitro selection to engineer nucleic acids for diagnostics/therapeutics and exploring nucleic acid evolution principles to generate novel compounds. His research addresses how aptamers can elucidate biological phenomena, design light-controllable RNA molecules, and create tools for high-precision diagnostics. Notable achievements include developing click-SELEX methods for aptamer selection, optoribogenetic systems for gene regulation, and RNA-based biosensors for metabolic monitoring. Publications emphasize interdisciplinary approaches combining biochemical, molecular, and biophysical techniques. Work spans SARS-CoV-2 aptamer antivirals, immune modulation via T-cell activation, and anti-inflammatory aptamers for hypersensitivity treatment. Collaborations with groups like the NeurotechEU alliance highlight transdisciplinary impact. Research infrastructure includes the Mayer Lab (website: http://www.mayerlab.de/), focusing on translating fundamental nucleic acid science into clinical solutions. Current efforts prioritize precision medicine applications and next-gen diagnostic platforms through systems biology approaches.

• Immunology
• B Cell Biology
• Metabolomics
• +3 more

Dr Alexander Stewart is a Research Fellow in Immunology at the University of Surrey's School of Biosciences, part of the Faculty of Health and Medical Sciences. His work focuses on immune system dynamics, antibody repertoire analysis, and eco-immunological mechanisms. He specializes in integrating multi-omics approaches to study B cell biology, viral immunity, and host-parasite interactions. Key research areas include immunoglobulin gene diversification, metabolic regulation of immune cells, and the impact of environmental factors on immunocompetence. Stewart has contributed to tools like BRepertoire, a web server for antibody repertoire analysis, and sciCSR for inferring B cell state transitions. His research spans experimental models (e.g., three-spined stickleback, chickens) and human studies, including investigations into SARS-CoV-2 pathogenesis and glucocorticoid treatment effects. He explores cross-species immune mechanisms, from parasitic infections in rodents to lunar-driven immune rhythms in fish. His recent work highlights the role of CSF1R in macrophage biology and the metabolic control of regulatory B cells. He also examines antibody class-switching dynamics and the evolutionary basis of immunoglobulin diversity. Stewart's findings bridge basic immunology with translational applications in infectious disease and cancer research.

Natalia KomarovaView profile

Adjunct Professor

• Applied Mathematics
• Computational Biology
• Mathematical Oncology
• +3 more

Natalia Komarova is an Adjunct Professor in the Department of Mathematics at the University of California, Irvine. Her research focuses on applying mathematical and computational methods to biological systems, particularly in evolutionary dynamics, cancer modeling, and viral infections. She holds a faculty position in the mathematics department with affiliations spanning applied mathematics, computational biology, and complex social phenomena modeling. Her academic work integrates mathematical modeling with empirical data to address questions in virology, oncology, and ecology. Notable research interests include the evolutionary spread of advantageous variants in epidemics, spatial population structures, and the role of aspirin in cancer chemoprevention mechanisms. Her studies often involve interdisciplinary collaborations, combining computational simulations with experimental data analysis. Recent publications highlight investigations into HIV persistence, biofilm dispersal mechanisms, and the impact of spatial dynamics on mutant evolution. Her work on viral recombination, cell-to-cell transmission, and cancer stem cell regulation demonstrates a commitment to translating mathematical insights into biomedical applications. Dr. Komarova has contributed to understanding the role of hot zones in SARS-CoV-2 transmission dynamics and developed models for predicting viral strain evolution under human behavioral interventions. Her research bridges abstract mathematical frameworks with concrete biological phenomena, yielding insights into both fundamental science and applied health challenges.