Find Academic Supervisors

• Bioinformatics
• Systems Biology
• Deep Learning
• +6 more

Gianfranco Michele Maria Politano is an Associate Professor at the Department of Control and Computer Science (DAUIN) at Polytechnic University of Turin, with affiliations to the College of Computer, Film and Mechatronics Engineering and College of Biomedical Engineering. His research focuses on Bioinformatics, Systems Biology, and Deep Learning applications in health. Research trends span computational modeling of biological systems, protein function prediction using machine learning, and public health analysis of disease burdens (influenza, rectal cancer, and COVID-19). He also investigates gene regulatory networks and microRNA roles in inflammation. His teaching includes Bioinformatics and Internship courses for Computer Engineering and Aerospace Engineering students since 2019. He supervises PhD student Sofia Ostellino on computational solutions for disease monitoring and has secured research grants for biostatistics projects like DIDES (exotic animal diagnostics) and rectal cancer ultrasound staging. Notable projects : DIDES (2020), Feasibility study for rectal cancer diagnostics (2021) Patents : Computerized culture protocols for biomanufacturing, Simulation of biological ontogeny

• Cognitive Neuroscience
• Parkinson's Disease
• Biopsychology
• +7 more

Nathaniel Miller is an Associate Professor in the Department of Behavioral Sciences at the College of Arts, Sciences and Education, University of Michigan-Flint. His research bridges cognitive neuroscience, psychology, and biomedical engineering, with a strong focus on Parkinson's disease and the application of technology in symptom monitoring and mobility enhancement. His research interests include: Cognitive Neuroscience and Biopsychology Parkinson’s Disease Interventions Use of Technology in Parkinson Disease Technology Use in Older Adults Aging and Motor Control Signal Processing for Medical Diagnostics His recent publications (2018–2025) reveal a consistent trajectory in developing and validating mobile and wearable technologies for assessing tremor, postural stability, and gait in Parkinson’s patients. He frequently collaborates with Charlotte Tang and Linda Zhu, integrating human-computer interaction principles with clinical neuroscience. His work appears in journals such as ACM Transactions on Accessible Computing , Parkinsonism and Related Disorders , and ASME Journal of Engineering and Science in Medical Diagnostics and Therapy . He is currently involved in NIH-funded research on mobile self-tracking applications for Parkinson’s patients and previously led a community-based exercise intervention study funded by Blue Cross Blue Shield. His teaching includes Cognitive Neuroscience, Cognitive Psychology, and Research Methods. Grants and Funding: Validating a mobile self-tracking application designed for People with Parkinsons – NIH, $429,000 (2024–2026), Co-Investigator UM-Flint CIT START Fund – UM-Flint, $0 (2023), Co-PI Effectiveness Assessment of a Community Based Assisted Exercise Intervention for Parkinson's Disease – Blue Cross Blue Shield, $67,263 (2014–2015), PI He has no listed scientific awards in the provided text. His lab focuses on interdisciplinary research involving mobile health technologies, signal processing, and patient-centered design for neurodegenerative conditions.

• Biosurveillance of communicable diseases
• Infectious disease informatics
• Genomic epidemiology
• +3 more

Professor Vitali Sintchenko is a public health microbiologist and informatician at The University of Sydney, affiliated with the School of Medical Sciences , Sydney Infectious Diseases Institute , and Westmead Institute for Medical Research . As a Clinical Microbiologist with NSW Health Pathology , he develops genomic epidemiology tools for communicable disease surveillance, focusing on tuberculosis, pertussis, and Salmonella. His work integrates pathogen genomics with clinical data to improve outbreak detection and control. MBBS, PhD, FRCPA, FACHI Member, Commonwealth Public Health Laboratory Network and Communicable Diseases Genomics Network Leadership in Mycobacterium Reference Laboratory and Enteric & Pneumococcal Reference Laboratories Research spans: Genomic surveillance of epidemic bacterial pathogens Development of decision support systems for outbreak response Integration of syndromic surveillance with molecular epidemiology Microbiome analysis in respiratory infections Antimicrobial resistance genomics Machine learning applications in pathogen tracking Recent publications demonstrate leadership in Salmonella and Tuberculosis genomic epidemiology, with Nature , Lancet , and PLoS contributions. His team's work on SARS-CoV-2 variants and Shigella sonnei evolution highlights real-time surveillance applications. Scientific contributions include: World's first book on Infectious Disease Informatics (Springer, 2010) Development of MGTdb genomic database Creation of DODGE outbreak detection algorithm Advancements in CRISPR-based diagnostics Key role in Australian Pathogen Genomics Program As an academic leader, he supervises students working on: Ellen Donnan : TB control strategies in NSW David Pham : Metagenomic pathogen detection Sarah Smith : Pneumococcal disease genomics Michael Wehrhahn : Dientamoeba fragilis epidemiology His laboratory at Westmead Hospital develops: Genomic outbreak detection systems AI-driven surveillance tools Pathogen transmission mapping Drug resistance prediction models

Michelle AfkhamiView profile

Clinical Professor

• Hematopathology
• Clinical Informatics
• Molecular Genomics Pathology
• +5 more

Michelle Afkhami, M.D. is a Clinical Professor in the Department of Pathology at City of Hope, where she serves as Division Chief of Molecular Pathology & Therapy Biomarkers and CLIA Director for their Clinical Molecular Genomics Laboratories. She also chairs the multidisciplinary Genomic Tumor Board since 2015. Education: M.D. from Qom University of Medical Sciences (2004); Residencies in General Surgery (USC, Huntington Memorial Hospital) and Anatomic/Clinical Pathology (USC); Fellowships in Hematopathology (USC) and Molecular Genomics Pathology (UPMC) Her work focuses on molecular pathways in malignancies, particularly hematopoietic cancers like leukemia/lymphoma and solid tumors including melanoma, lung, head/neck, and thyroid cancers. She has developed the HopeSeq Comprehensive Assays for molecular diagnostics, serving >200,000 COH patients since 2015. She holds board certifications in Clinical Informatics (2025), Hematopathology (2013), and Anatomic/Clinical Pathology (2012). Professional memberships include the Association of Molecular Pathology, American Society of Hematology, and College of American Pathologists.

Theresia HergetView profile

Researcher

• Human Genetics
• Neurodevelopmental Disorders
• Molecular Genetics
• +3 more

Theresia Herget is a Researcher at the Institute of Human Genetics , affiliated with the Faculty of Medicine, University of Hamburg . Her work focuses on human genetics , neurodevelopmental disorders , and genetic diagnostics . Medical Specialist in Human Genetics Key Collaborations with international research groups Contributor to 14+ peer-reviewed publications (2020–2024) Research Interests: Her research explores genotype-phenotype correlations , neurogenetics , and rare genetic diseases through clinical case studies and exome sequencing. Publication Trends: Recent work spans topics such as ion channelopathies , Golgi apparatus dysfunction , and mitochondrial disorders , often involving collaborative studies with multinational teams.

Kevin M. HaigisView profile

Professor

• Cancer Biology
• RAS Signaling
• Colorectal Cancer
• +6 more

Kevin M. Haigis is a Professor of Medicine at Harvard Medical School and serves as the Chief Scientific Officer at the Dana-Farber Cancer Institute. His work bridges experimental and computational approaches to understand the molecular basis of gastrointestinal cancers, particularly focusing on RAS signaling pathways. Research Interests: RAS signaling in cancer Genetic and signaling networks in tumorigenesis Therapeutic responses in colorectal cancer Inflammation and cancer interplay His research integrates genetically engineered mouse models and human cancer systems with computational and informatic tools to dissect oncogenic mechanisms. The recent publications highlight a strong emphasis on post-translational regulation of mutant KRAS, tissue-specific oncogenicity, and cross-species proteogenomic modeling, pointing to a trajectory toward precision oncology and targeted therapy development. Scientific Awards: Robert Black Fellow, Damon Runyon Cancer Research Foundation Howard Temin Award K01, National Cancer Institute Dr. Haigis leads a multidisciplinary research program at Dana-Farber, mentoring trainees and collaborating with leading cancer scientists. His work is supported by major grants from the NCI and other institutions, enabling translational research from bench to bedside. He has played key roles in identifying novel regulatory mechanisms of RAS and developing strategies to target previously undruggable oncogenes. Laboratories and Collaborative Teams: Dr. Haigis leads a research laboratory at Dana-Farber that fosters collaboration with experts in proteomics, chemical biology, and cancer genomics. His team works closely with investigators such as William C. Hahn, Nathanael Gray, Joseph Mancias, and others in the Broad Institute and Dana-Farber community.

Vladimir Carli and Gergö HadlaczkyView profile

Researcher

• Suicide prevention
• Mental health epidemiology
• Psychiatric genetics
• +3 more

Vladimir Carli and Gergö Hadlaczky are researchers at the National Centre for Suicide Research and Prevention of Mental Health (NASP) within Karolinska Institutet's Department of Learning, Informatics, Management and Ethics. They lead interdisciplinary research on suicide determinants and mental health interventions. Research Focus: Their work spans Biological, psychological, and social suicide risk factors Digital mental health systems (e.g., VR, eHealth) Genomic studies of suicidality Population-level mental health epidemiology Key Projects: Forte-funded suicide process study (SEK 5.995M) Tim Bergling Foundation digital training initiative EXPERIENCE project (VR + XAI for depression) Publication Trends: Recent articles analyze Genetic interactions with childhood trauma (P2RX7, CLOCK genes) Screen time and sleep pathways Body odor's catalytic role in anxiety treatment Population-level suicide pattern analysis

Juan José Arranz SantosView profile

Professor

• Animal Genetics
• Genomics
• Dairy Sheep Production
• +3 more

Juan José Arranz Santos is a Professor at the University of León, affiliated with the Faculty of Veterinary Science and Department of Animal Production. His research focuses on animal genetics , genomics , and feed efficiency in dairy sheep, with significant contributions through the MEGA MEJORA GENÉTICA ANIMAL research group. He is actively involved in genomic selection programs and uses machine learning and transcriptomic analysis to improve dairy sheep productivity and resilience. Education : Ph.D. in Animal Production from the University of León (1994) His research synthesizes genomic , transcriptomic , and microbiome data to identify biomarkers for feed efficiency, milk quality, and disease resistance. Recent work includes developing the SMARTER-database for integrating sheep/goat genomic data and analyzing epigenetic impacts of early nutrition on lactation performance. Key sub-fields include selective sweeps , long non-coding RNAs , and circular transcriptomes in ruminants. The 15 most recent publications (2025-2023) reveal trends in machine learning applications for feed efficiency prediction, SNP array integration , lncRNA annotation , and milk metabolite biomarkers . His work spans functional genomics, microbiota analysis, and innovative educational tools like gamification for teaching quantitative genetics . Research Groups : MEGA MEJORA GENÉTICA ANIMAL

• Cardiovascular Health
• Physical Activity Referral Schemes
• Public Health
• +4 more

Dr. Coral Hanson is a Senior Research Fellow at the Edinburgh Napier University 's School of Health and Social Care. Her work focuses on cardiovascular health, physical activity referral schemes (PARS), public health policy, and eHealth interventions. Specializations: Physical activity promotion, cardiac rehabilitation, digital health, patient-centered care Affiliations: Centre for Cardiovascular Health, Public Health Scotland collaborators Research Interests: She investigates how physical activity interventions improve outcomes for cardiovascular patients, develops guidelines for activity promotion, and evaluates technology-enabled rehabilitation programs. Her work addresses implementation challenges in healthcare systems and social determinants of program uptake. Recent Projects: Includes AI applications in lifestyle change, remote exercise support for SCAD survivors, and national rehabilitation dataset creation. She pioneered the ASsessing cardiovascular risk, MOtivating change, and SUStaining healthier lifestyles digital training resource for nurses. Scientific Awards: Burdett Trust for Nursing grants Digital Health Institute funding Chest, Heart & Stroke Scotland support Chief Scientists Office awards Advising: Supervises advanced research students in areas like cardiac transitions, SCAD recovery, and AF management. Collaborates with institutions across UK, Australia, and Europe.

• Health Informatics
• Implementation Science
• Veterans Health Administration
• +4 more

Ekaterina Anderson, PhD, serves as Assistant Professor in the Department of Population and Quantitative Health Sciences at UMass Chan Medical School's T.H. Chan School of Medicine. Her research focuses on health services implementation within Veterans Health Administration systems, with particular emphasis on digital health tools and clinician-patient communication workflows. Education: BA, Nizhny Novgorod State Medical Academy MA, Nizhny Novgorod State Medical Academy PhD, Boston University Dr. Anderson's scholarly work spans health informatics and implementation science, addressing critical gaps in e-consultation systems, patient portal utilization, and healthcare worker burnout. Her research frequently examines Veterans Health Administration workflows through mixed-methods approaches, with growing attention to pandemic impacts on smoking cessation behaviors and cancer care communication. Recent publications demonstrate methodological diversity including qualitative analyses of clinician concerns, cross-sectional surveys of patient experiences, and positive deviance studies of care coordination. Publication trends reveal increasing focus on digital health integration in chronic disease management (COPD, cancer) and organizational factors affecting clinical care quality. Key thematic developments include telemedicine implementation challenges, provider communication patterns in integrated systems, and burnout prevention strategies across medical specialties. Her work consistently leverages Veterans Health Administration data to generate generalizable healthcare improvement insights. No formal scientific awards were documented in the available profile materials. Dr. Anderson maintains active research collaborations across the Veterans Health Administration system, particularly with VA Bedford investigators. Her publication record indicates frequent partnerships with implementation science experts like Sarah Cutrona and Rajani Sadasivam, suggesting participation in multi-institutional research teams focused on health services innovation. While specific grant funding isn't detailed, her VA-affiliated work implies involvement in Department of Veterans Affairs research initiatives. The Health Informatics and Implementation Science division serves as her primary academic home, positioning her at the intersection of clinical practice transformation and health information technology.

Sebastian CanzlerView profile

Researcher

• Computational Systems Biology
• Multi-omics Data Analysis
• Systems Toxicology
• +5 more

Dr. Sebastian Canzler is the Head of the Computational Systems Biology group at the Helmholtz Centre for Environmental Research (UFZ) in Leipzig, Germany. He is affiliated with the Department of Computational Biology & Chemistry and contributes to projects such as multiGSEA software development, XomeTox, and chemical grouping frameworks. Education: Diploma & PhD in Bioinformatics (University of Leipzig, 2011 & 2017) Professional Roles: PostDoc (University of Leipzig, 2017); PostDoc & Head (UFZ, 2018–Present) Research Interests: His work focuses on multi-omics data integration for chemical risk assessment, pathway enrichment analysis, single-cell transcriptomics in systems toxicology, and development of FAIR data management practices. He specializes in refining adverse outcome pathways (AOP) and applying explainable AI to predict chemical effects. Scientific Trends: Recent publications emphasize thyroid toxicity mechanisms, retinal organoid modeling, and computational frameworks for evaluating chemical mixtures. His software tools (multiGSEA, ProteinPrompt) address pathway analysis and protein interaction prediction. Collaborations: Works with Prof. Jörg Hackermüller, Prof. Martin von Bergen, and teams across bioinformatics, ecotoxicology, and exposure science.

• Business Process Modeling
• Ontology in Legal Systems
• Legal Knowledge Management
• +5 more

Andrzej Greńczuk is an Assistant at the Department of Business Intelligence in Management at Wrocław University of Economics. He holds a Master's degree in Administration from the University of Wrocław (2007-2017), a Bachelor's in Business Computer Science from UEW (2014-2017), and a Master's in UEW (2020-2022). He is currently pursuing a PhD at UEW's Doctoral School since 2022. His primary roles include academic support and research in legal informatics and AI-driven knowledge systems. Education Pathway: Bachelor's in Administration (Local Government), 2004-2007 Long-cycle Law, Administration & Economics program (University of Wrocław), 2007-2017 Bachelor's in Business Computer Science (UEW), 2014-2017 Master's in UEW (supervised by Dr. Iwona Chomiak-Orsa), 2020-2022 PhD Candidate at UEW Doctoral School since 2022 Research focuses on legal informatics, ontology-based systems, AI in legal processes, semantic networks, and ICT applications in judiciary and smart city management. Key themes include knowledge management systems, process modeling (BPMN/UML), and visualization tools for legal data. Recent publications (2022–2024) emphasize AI-driven solutions for legal translation, knowledge base creation via LLM/RAG architectures, and semantic networks in problem categorization. He also explores ICT in smart city infrastructure and renewable energy systems. Collaboration with socio-economic entities: Open to partnerships aligning with his research in legal tech, AI applications, and smart urban systems. Proficient in English and Polish.

• Neuroimaging
• Reproducible Research
• Computational Neuroscience
• +3 more

Dorota Jarecka is a Research Scientist at the McGovern Institute for Brain Research at the Massachusetts Institute of Technology (MIT). Her work focuses on developing open-source software tools and frameworks to enhance reproducibility and scalability in neuroimaging research. She is a core contributor to initiatives like BIDS Apps, NiMARE, and Pydra, which aim to standardize and streamline neuroimaging data analysis workflows. Her research interests span neuroinformatics, reproducible research practices, computational neuroscience, and the development of scalable data management solutions. She actively contributes to consortia such as the NMIND consortium and the BRAIN Initiative Cell Census Network, promoting collaborative approaches to neuroimaging challenges. Jarecka’s publications highlight her expertise in large-scale neuroimaging analysis, meta-analysis techniques, and the integration of open science tools like DataLad and Datalad. She emphasizes the importance of human-in-the-loop systems and agentic frameworks (e.g., STRUCTSENSE) to improve structured information extraction in scientific workflows. Her work has advanced reproducibility through ontologies and provenance tracking (e.g., NIDM Experiment) and has addressed technical challenges such as software variability across operating systems. She is also involved in educational efforts, including Software Carpentry workshops on version control with Git. Jarecka’s contributions bridge computational methods with neuroscience, fostering collaboration between researchers, developers, and institutions to tackle complex neuroimaging and atmospheric science problems.

• Voluntary Sector Research
• Social Prescribing
• Mixed-Methods Methodologies
• +3 more

Dr. Alexis Foster is a Senior Research Fellow at the School of Medicine and Population Health, University of Sheffield. As a mixed-methods researcher, she specializes in voluntary sector (VCSEs) workforce support, social prescribing, systems mapping, and health inequalities. Her work emphasizes participatory action research and stakeholder engagement to improve health service delivery. Education: BA (Hons) in Social Science and Politics (1st Class), MPH (Distinction), PhD – all from the University of Sheffield. Current research focuses on: Improving voluntary sector workforce retention through NIHR-funded action research Evaluating national social prescribing programs (e.g., British Red Cross loneliness initiative) Developing research capacity in local authorities and third sector organizations Systems mapping for child weight reduction interventions (Henry III study) Addressing health inequalities in diagnostic pathways for Painful Neuropathy and Molar Pregnancies Articles demonstrate trends in social prescribing, third sector evaluation, and health systems research. Her mixed-methods approach bridges qualitative stakeholder analysis with quantitative process evaluations. Leadership roles include: Principal Investigator for NIHR HSDR grant Co-Investigator in multi-center studies (Doncaster HDRC, Green Social Prescribing) Mentoring early-career researchers and reviewing for journals/funding panels Dr. Foster actively collaborates with voluntary sector organizations, local authorities, and academic institutions to translate research into practice.

Keungoui KimView profile

Assistant Professor

• Science and Technology Policy
• Computational Social Science
• Applied Artificial Intelligence
• +4 more

Keungoui Kim serves as an Assistant Professor in the Science, Technology, and Policy program within the Humanities, Arts, and Social Sciences Division at Underwood International College, Yonsei University. His research integrates social science theory with advanced computational methodologies to address complex policy challenges through interdisciplinary frameworks. Dr. Kim's scholarly focus spans Science and Technology Policy, Computational Social Science, and Applied Artificial Intelligence, with particular expertise in network theory and evolutionary economic geography. His work examines innovation systems, technological capability development, and sustainable mobility transitions using cutting-edge AI techniques including graph convolutional networks and prompt engineering. The Social Science and Applied Artificial Intelligence (SAAI) Lab he directs pioneers methodological integration between social science foundations and computational approaches. His recent publications demonstrate significant interdisciplinary breadth, with 2024-2025 works spanning innovation management (patent quality, firm performance), sustainable mobility business models, and specialized AI applications for legal document interpretation and urban transportation systems. Key methodological contributions include station-specific spatial feature integration in graph networks and domain-adapted prompt engineering for technical legal domains. Dr. Kim leads multiple major research initiatives: Quantum Science Collaboration (2025, KE-QSTCC): Advancing Korea-Europe R&D networks in quantum technology Naver WEBTOON Project (2025-2028, IRKOM): Analyzing global content domination strategies STI Policy Research (2025, KISTEP): Examining policy responses to technological hegemony STP Frontier Research (2025-2028, Yonsei): Developing AI methodologies for policy analysis Energy Policy Study (2025, Korea Energy Agency): Assessing US policy shift impacts He directs the Social Science and Applied Artificial Intelligence (SAAI) Lab, which develops computational frameworks combining social theory with statistical modeling and AI to address pressing societal challenges in technology governance and sustainable development.