Harri Lähdesmäki is an Associate Professor (tenured) at the Department of Computer Science, Aalto University, where he leads the Computational Systems Biology research group. His work focuses on probabilistic machine learning and deep generative models with applications in biomedicine and molecular biology. Key Research Interests: Probabilistic machine learning, deep generative models, computational biology, bioinformatics, longitudinal data modeling Contact: harri.lahdesmaki@aalto.fi | Konemiehentie 2, 02150 Espoo, Finland His recent publications highlight advancements in: Gaussian process priors for scalable deep generative models Single-cell analysis of immune repertoires in leukemia and diabetes Probabilistic deconvolution methods for RNA-seq data Epigenetic analysis using hidden Markov and mixed models Transformer-based survival prediction and missing data handling Harri’s work integrates mechanistic modeling with Bayesian inference, particularly applied to immunology, cancer biology, and early disease prediction.
Martin Fromm is a Professor of Clinical Pharmacology and Toxicology at Friedrich-Alexander University Erlangen-Nürnberg, where he has served as Director of the Institute of Experimental and Clinical Pharmacology and Toxicology since 2004. His career includes prior roles as Acting Professor (2002–2004), Group Leader (1999–2002), and postdoctoral fellowships at the Dr. Margarete-Fischer-Bosch Institute (1992–1996) and Vanderbilt University (1997–1999). Research Focus: Mechanisms of variable drug effects, drug transporters, medication safety, and biomarker development for transporter-mediated drug interactions. Publications: Over 170 original articles and 49 reviews with an h-index of 76 (24,000+ citations). Leadership: Chair of the University Hospital Erlangen's drug utilization committee and steering board of the Center of Clinical Studies. Scientific Awards: Top 3% Highly Cited Researcher (AD Scientific Index 2022–2024) Top 2% Highly Cited Researcher (Stanford List 2023) MSD Health Award (2021) Paul-Martini-Award (2001) Presidential Trainee Award (1998) Research Trends: His recent work integrates metabolomics, machine learning (LC-MS methods), and clinical studies to enhance medication safety in oncology and geriatrics. Earlier studies focus on transporter proteins (e.g., OCT2, MATE1, P-glycoprotein) and their role in drug absorption, metabolism, and interactions. Grants & Collaborations: Funded by DFG, BMBF, BMG, and Deutsche Krebshilfe. Active in ethics committees and clinical pharmacology societies.
Travis B. Thompson, Ph.D. is an Assistant Professor in the Department of Mathematics and Statistics at Texas Tech University, leading the TM4 (Texas Tech Translational and Theoretical Mathematical Modeling and Machine Learning in Medicine) research group. His academic journey includes postdoctoral work at Rice University, Simula Research Laboratory, and the University of Oxford, focusing on mathematics applied to neurodegenerative diseases. Education: Ph.D. in Mathematics from Texas A&M University (2013) Dr. Thompson develops theoretical mathematical models and applies scientific computing and machine learning to study neurological pathologies, particularly Alzheimer’s disease. His work explores complex biological processes on networks, translational healthcare applications, and nutritional security implications. Current research trends integrate neuroimaging data with finite element simulations to model tau progression , amyloid beta dynamics , and glymphatic clearance in age-related diseases. Scientific awards and honors were not explicitly mentioned in the provided materials. Dr. Thompson’s interdisciplinary approach connects computational neuroscience with biomedical engineering , utilizing techniques like diffusion tensor imaging and level set methods to analyze pathological protein spread and brain tissue mechanics . The TM4 research group focuses on network neurodegeneration , personalized medicine , and machine learning diagnostics . Their work spans from microfluidic cancer detection to computational modeling of brain clearance mechanisms , addressing challenges in both neurodegenerative diseases and biomedical engineering through rigorous mathematical frameworks.
Alexander Sumich is Professor of Mental Health and Biopsychology at Nottingham Trent University , School of Social Sciences. He co-directs the Centre for Public and Psychosocial Health and co-leads the Affect, Personality and Embodied Brain (APE) Research Group . He also serves as Adjunct Professor in Psychology at Auckland University of Technology, New Zealand , and holds editorial and leadership roles in organizations like the British Society for the Psychology of Individual Differences (Treasurer) and Personality and Individual Differences (Associate Editor). Education: MA in Psychology (First Class Honors), University of Auckland PhD in Psychology as Applied to Medicine, Institute of Psychiatry, London His research spans neuroimaging and electrophysiological methods to investigate the neurobiology of affect-driven behaviors (depression, aggression, hallucinations) and the immune system's role in mental health . He employs virtual reality exposure therapy (VRET) , spiking neural networks , and computational models to enhance mental health interventions. Key areas include gaming disorder , mindfulness effects , and gut-brain axis interactions . Notable research grants include: BIAL Foundation (2023-2024): €58,765 for trauma-paranormal-mental health links MBIE-Catalyst Programme (2020-2024): NZ$2,134,847 for computational neurogenetics UKRI KTP (2021-2024): £204,000 for therapeutic digital displays His external roles include: Treasurer, British Society for the Psychology of Individual Differences Associate Editor, Personality and Individual Differences Co-host, APE2020 Conference
Alex Mogilner is a Professor of Mathematics and Biology at New York University's Courant Institute and Department of Biology. His research focuses on computational and mathematical modeling of cellular processes, including cell motility, mitosis, actin dynamics, and galvanotaxis. He collaborates closely with experimentalists to bridge theoretical and empirical cell biology. Education: Ph.D., Applied Mathematics, University of British Columbia, Canada (1995) Ph.D., Physics, USSR Academy of Sciences (1990) M.Eng., Engineering Physics, Ural Polytechnic Institute, USSR (1985) Research Interests: Mathematical modeling of molecular machines in cells Mitotic spindle dynamics and chromosome segregation Actin-myosin contraction mechanisms Galvanotaxis and electrotaxis in cell migration Cellular biophysics and mechanochemical processes Selected Publications Highlights: Developed models for mitotic spindle assembly and error correction Investigated mechanisms of cell polarization and turning Studied actin network contraction and cytoskeletal dynamics Explored galvanotactic cell migration in electric fields Labs/Teams: Leads a computational modeling lab at NYU, collaborating with experimental groups globally in cell biology, biophysics, and systems biology.
Jonathan Bohlen serves as a Research Group Leader at the Gene Center, Ludwig Maximilian University of Munich (LMU), within the Department of Biochemistry. His laboratory focuses on mRNA translation mechanisms in human immunity, bridging molecular biology with clinical immunology to understand fundamental cellular processes. His educational background includes: Doctorate (2017-2020) at the German Cancer Research Center (DKFZ), Heidelberg M.Sc. in Molecular Biology (2015-2017) at Karls-Ruprecht University, Heidelberg B.Sc. in Biotechnology (2011-2015) at Hochschule Mannheim, Mannheim Dr. Bohlen's research centers on translational regulation in immune cells, with three primary focus areas: Translational Regulation in T Cells, Monogenic Ribosomopathies and Immunodeficiency, and tRNA Metabolism, Biogenesis, and Autoinflammatory Disease. His work explores how mRNA translation mechanisms affect leukocyte function and how disruptions in these processes lead to immunological disorders. By utilizing primary human leukocytes as a model system, his laboratory addresses the critical gap in understanding translational control in human physiology, which has been historically limited by the scarcity of live primary samples. Analysis of his recent publications reveals a consistent focus on the intersection of mRNA translation mechanisms and human immunity, particularly regarding IFN-γ responses to mycobacterial infections. His work demonstrates how specific translation factors (MCTS1, PRRC2) regulate critical immune proteins like JAK2, providing mechanistic insights into how translational defects lead to immunodeficiency. The publications span high-impact journals including Cell, Journal of Clinical Investigation, and Nucleic Acids Research, reflecting the significance of his contributions to understanding inborn errors of immunity through the lens of translational regulation. His scientific achievements have been recognized with prestigious awards: Marie Skłodowska-Curie Actions (MSCA) Postdoc Fellowship (2022) EMBO Postdoc Fellowship (2021) DFG Walter Benjamin Postdoc Stipendium (2021) RNA Society/Scaringe Graduate Student Award (2020) Dr. Bohlen actively mentors students and seeks motivated Master's students for internships and thesis projects focusing on molecular biology of mRNA translation. His laboratory aims to achieve three significant outcomes: enhanced understanding of ribosome and mRNA biology in leukocytes, insights into leukocyte involvement in genetic diseases of mRNA translation, and identification of pathomechanisms underlying severe genetic diseases. The research has direct clinical relevance to understanding and potentially treating immunological disorders with translational defects. The Bohlen Lab operates within the Gene Center Munich, a central scientific institution at LMU that fosters interdisciplinary research in genome biology, immunology, virology, and oncology. The lab's work exemplifies the institution's mission of advancing science beyond traditional disciplinary boundaries.
Dr. Thomas Pollak is a Senior Clinical Lecturer at the Institute of Psychiatry, Psychology and Neuroscience (IoPPN) at King's College London and an Honorary Consultant Neuropsychiatrist at South London and Maudsley NHS Foundation Trust. He has been affiliated with King's since 2004 and has held his current academic position since 2015. Pollak is a leading researcher in immunopsychiatry, with a focus on autoimmune encephalitis and its psychiatric manifestations, and co-runs a specialized clinic for patients with autoimmune neurological disorders at King's College Hospital. Dr. Pollak completed his academic training with a BA in Psychology from Corpus Christi College, University of Oxford, followed by an MBBS in Medicine from King's College London. He obtained his MRCPsych certification from the Royal College of Psychiatrists and completed an MSc in Clinical Neurology from University College London. His diverse educational background spanning psychology, medicine, psychiatry, and neurology uniquely positions him at the intersection of these fields. Dr. Pollak's primary research interests lie at the intersection of immunology and psychiatry, with specific focus on autoimmune encephalitis, particularly as it manifests as psychosis. He investigates the neuroimmunological basis of psychiatric disease, with emphasis on autoantibodies that cause autoimmune encephalitis. His work aims to improve early detection of autoimmune psychosis and elucidate brain mechanisms by which immune responses produce neuropsychiatric symptoms. He also studies immunological effects of psychotropic drugs, mental illness risk factors on immune function, infections in psychiatry, long COVID mechanisms, glutamatergic abnormalities in psychosis, and organic presentations in neuropsychiatry. Recently, he has developed research interests in the neuroscience and phenomenology of meditation and contemplative practices. Analysis of Dr. Pollak's recent publications reveals a strong emphasis on autoimmune mechanisms in psychiatric disorders, particularly focusing on autoimmune encephalitis and its psychiatric manifestations. His work spans clinical studies, systematic reviews, and innovative methodological approaches to understanding the immune-psychiatry interface. A significant portion of his recent work addresses the neuropsychiatric sequelae of COVID-19, reflecting the pandemic's impact on research priorities. His publications demonstrate interdisciplinary collaboration across psychiatry, neurology, immunology, and rheumatology, highlighting the transdisciplinary nature of modern immunopsychiatry research. Wellcome Trust Clinical Research Fellowship (2015) NIHR Clinical Lectureship (2019) Dr. Pollak actively mentors trainees and students, serving as a personal/pastoral tutor and dissertation supervisor on the MSc Clinical Neuropsychiatry program. He has led the King's Neuropsychiatry Meetings since 2015, described as the world's largest such seminar series. His grant portfolio includes the Wellcome Trust-funded Immune Mechanisms of Antipsychotic Treatment Response (IMAT) study, where he serves as co-Investigator and clinical lead. He also leads or co-leads several other research projects including ADAPT (investigating exercise interventions for rheumatology patients), a Rosetrees Trust project on long-COVID-19's effects on the brain, and the COPE-EMBRACE project on coping with stress after encephalitis. Dr. Pollak co-leads the King's Neuropsychiatry Research and Education Group (NREG) with Dr. Tim Nicholson, which serves as an interdisciplinary platform for neuropsychiatry research. He has established and co-runs a joint multidisciplinary clinic at King's College Hospital dedicated to assessing and managing patients with autoimmune encephalitis and other CNS autoimmune disorders, as well as a neuropsychiatry-led long COVID clinic. His research group employs neuroimaging and neuroimmunological methods to characterize the significance of autoantibodies in psychiatric conditions, with the ultimate goal of improving clinical recognition and outcomes for patients with immune-mediated neuropsychiatric disorders.
Jill A. Marsteller is a Professor in the Department of Health Policy and Management at the Johns Hopkins Bloomberg School of Public Health. She holds joint affiliations with the Johns Hopkins School of Medicine’s Department of Anesthesiology and Critical Care Medicine (Armstrong Institute for Patient Safety and Quality) and the Johns Hopkins Carey Business School. She is actively involved in multiple research centers, including the Welch Center for Prevention, Epidemiology and Clinical Research, the Center for Health Services and Outcomes Research (CHSOR), the Johns Hopkins Center for Health Equity, and the Center for Mental Health and Addiction Policy Research. Education: PhD, University of California, Berkeley, 2003 MPP, The College of William and Mary, 1993 BA, The College of William and Mary, 1990 Dr. Marsteller’s research focuses on organizational behavior, implementation science, quality improvement, patient safety, and health equity. She employs mixed methods to study how organizational structures and team dynamics affect the implementation and sustainability of healthcare improvements in both inpatient and outpatient settings. Her work emphasizes reducing disparities and promoting equitable care delivery. Her recent publications (2023–2025) highlight her leadership in major research initiatives such as the RICH LIFE trial for hypertension equity, development of patient engagement tools in pain management, mental health system transformation for first-episode psychosis, and efforts to combat health misinformation. Her work spans public health, clinical medicine, and organizational systems, often involving large, multidisciplinary collaborations. Scientific Awards: Advising, Mentoring and Teaching Recognition Award (AMTRA), 2012 and 2009 DHHS Secretary’s Award for Distinguished Service (2004, group award) NCHS/AcademyHealth Fellow (2003–2004) Dr. Marsteller leads the Research Facilitation Council at the Armstrong Institute and serves as Associate Director of CHSOR and co-leader of the Behavioral, Social and Systems Science Translational Research Community within the Institute for Clinical and Translational Research. She has no listed advisees in the provided text. Her research is supported by significant grants, including those from AHRQ and NIH, and she leads the RICH LIFE Project. She is actively publishing and engaged in national policy-related research, with no indication of retirement or part-time status. Laboratories and Research Teams: She is a key member of the Armstrong Institute for Patient Safety and Quality and leads collaborative teams across schools at Johns Hopkins, focusing on systems-level interventions to improve care quality and equity.
Svetlana Lajic is an Adjunct Professor in Pediatric Endocrinology and Inherited Metabolic Diseases at the Department of Women's and Children's Health, Karolinska Institutet , and a Senior Consultant at Karolinska University Hospital, Stockholm, Sweden. She serves as the European Pediatric Chair for the adrenal thematic group in Endo ERN and contributes to the Swedish Pediatric Association as Treasurer. Her research focuses on cognitive functioning and brain development in individuals with rare endocrine disorders, including Congenital Adrenal Hyperplasia (CAH) and Addison's Disease , investigating the long-term effects of prenatal dexamethasone treatment and epigenetic alterations . She leads studies on metabolic outcomes, neural connectivity, and quality of life in patients with inborn errors of metabolism (IEM). Key Research Areas: Cognitive and brain development in CAH and Addison's Prenatal dexamethasone treatment safety Epigenetic effects of glucocorticoid exposure Neonatal screening for IEM Clinical Roles: Senior Consultant, Pediatric Endocrinology European Pediatric Chair, Endo ERN adrenal group
Claire Russell serves as Associate Professor in Developmental and Translational Neurobiology within the Department of Comparative Biomedical Sciences at the Royal Veterinary College (RVC). Her research leverages zebrafish ( Danio rerio ) models to investigate neurodegenerative mechanisms in Neuronal Ceroid Lipofuscinoses (NCLs/Batten disease), epilepsy, and ataxia, with emphasis on microglial function, autophagy, and mitochondrial dysfunction. She earned her BSc from Imperial College London (1991) and DPhil from the University of Sussex (1995), conducting postdoctoral work at Imperial College, King's College London, and University College London. Her lab operates under core values of Equity, Respect, Commitment, Curiosity, and Integrity, fostering an inclusive research environment through structured recruitment and daily practices. Russell's research program exploits zebrafish advantages—rapid development, optical transparency, and genetic tractability—for high-throughput drug discovery and mechanistic studies. Recent publications reveal strong trends in mitochondrial pathology (ATPase inhibitory factor 1 dysfunction), autophagy defects in NCLs, and cross-species modeling of lysosomal storage disorders. Her group develops zebrafish models for CLN2/CLN3 diseases and collaborates on drug repurposing studies targeting seizure reduction and neuroprotection. Fellow of the Higher Education Academy Associate of the Royal College of Science She has mentored over 50 PhD/Master's students and secured major funding including MRC (£1m for CLN3 personalized medicine), EU H2020 BATCure (€6m), and Batten Disease Family Association grants. Current projects focus on lysosomal storage disorder mechanisms, blood-brain barrier therapeutics, and microglia-neuron interactions. Russell leads the Brain Health and Behaviour research group, teaches developmental biology courses, coordinates placement years, and conducts extensive school outreach including CRB-checked classroom visits and work experience programs.
Dr. Walter Dzik serves as Associate Pathologist at Massachusetts General Hospital and Associate Professor of Pathology at Harvard Medical School, where he co-directs the Blood Transfusion Service. His clinical expertise spans coagulation disorders, hematology, and transfusion medicine, with particular focus on patient safety and evidence-based transfusion practices. Dr. Dzik's research interests include: Management of coagulopathy in liver disease Clinical use of blood components Massive transfusion protocols Biologic consequences of recipient exposure to allogeneic donor leukocytes Transfusion-related acute lung injury prevention International blood banking standards His publication record demonstrates sustained scholarly activity with impactful contributions to transfusion medicine, including development of the PLASMIC score for thrombotic microangiopathies and leadership in international BEST Collaborative studies. Recent work focuses on advanced therapies like recombinant ADAMTS13 for thrombotic disorders and machine learning applications for transfusion prediction. Notable achievements include: Founding membership in the Biomedical Excellence for Safer Transfusion (BEST) Collaborative Leadership of international studies on blood grouping errors (2002) Pivotal trial on universal leukoreduction (2008) Groundbreaking research on oxygen delivery by stored blood (2016) As Co-Director of the Blood Transfusion Service at MGH, Dr. Dzik oversees an FDA-licensed, full-service blood bank supporting approximately 70,000 annual transfusions and providing specialized services for cardiac surgery, bone marrow transplantation, and trauma care. His work with the NHLBI Clinical Trials Network continues to shape evidence-based transfusion practices worldwide.
Thomas Bocklitz is a Professor at the Leibniz Institute of Photonic Technology, leading the Photonic Data Science working group. His research focuses on integrating machine learning with spectroscopic and medical imaging techniques to enhance diagnostic accuracy and analytical workflows. University: Leibniz Institute of Photonic Technology School: Research Department Photonic Data Science Academic Rank: Professor Email: thomas.bocklitz@leibniz-ipht.de Research Interests : Bocklitz specializes in applying machine learning to spectroscopy (Raman, SERS, LIBS) and biomedical imaging. His work addresses challenges like spectral artifacts correction, image quality assessment, and class imbalance in histopathology data. He also explores explainable AI for spectroscopy and medical image registration across modalities. Publication Trends : His recent publications (2025) emphasize spatially aware deep learning for hyperspectral data, improved feature extraction methods in medical imaging, and custom CNN architectures for LIBS analysis. Earlier works (2024) focus on systematic reviews of SERS biomedical applications, Raman spectroscopy artifacts, and endomicroscopic AI for tumor diagnostics. Labs and Collaborations : Bocklitz collaborates with institutions like Universitätsklinikum Jena and researchers such as Jürgen Popp, Elena Corbetta, and Jhonatan Contreras. He leads a working group at Leibniz-IPHT, focusing on photonic data science for clinical and analytical applications.
Lisa M. Pohlman serves as a Professor of Clinical Pathology in the Department of Diagnostic Medicine/Pathobiology within the College of Veterinary Medicine at Kansas State University. With over 15 years of experience at KSU, she has held various roles including providing diagnostic clinical pathology services and serving as Director of the Clinical Pathology Laboratory for a decade. Her primary focus now centers on teaching and mentoring veterinary students through didactic lectures, laboratories, small group discussions, and one-on-one mentorship. Dr. Pohlman's educational background includes: BSc (1999) from the University of Guelph DVM (2001) from the University of Guelph MS (2007) from Auburn University Diplomate ACVP (2007) Her research spans clinical pathology, veterinary diagnostics, and shelter medicine. Dr. Pohlman's work focuses on improving clinical pathology laboratory methods and identifying disease patterns in domestic species, particularly shelter/rescue animals and pets owned by individuals with limited financial resources. She has dedicated significant effort to educational research, completing two teaching certificates through the Online Learning Consortium during a 2017 sabbatical, skills she effectively applied during the COVID-19 pandemic. Her scholarly output demonstrates expertise across multiple clinical pathology domains with emphasis on practical diagnostic interpretation and common errors in veterinary practice. Her significant contributions to veterinary education have been recognized through numerous prestigious awards: ASVCP Educator Award (November 2022) Elanco Teaching Excellence Award (November 2021) Zoetis Distinguished Veterinary Teacher Award (May 2019) Bayer Excellence in Teaching Award (October 2017) Phi Zeta Manuscript Award for Basic Science (January 2009) (ASVCP) Young Investigator Award (December 2006) As an educator, Dr. Pohlman has taught thousands of veterinary students and mentored numerous interns, residents, and graduate students. She serves as a permanent resource for former students and practicing veterinarians through her publications and speaking engagements. Beyond her academic role, she serves as President and Medical Director of the Riley County Humane Society and has been instrumental in developing shelter medicine programs at KSU, combining her dual roles to provide valuable animal handling experience for veterinary and pre-veterinary students.
Dr. Susanne Wenzel is a postdoctoral researcher and teaching assistant at the Photogrammetry group (IGG - Institute of Geodesy and Geoinformation) at the University of Bonn, and a scientific coordinator at Forschungszentrum Jülich since February 2018. Her academic journey began with studies in Geodesy at the Technical University of Berlin and University of Bonn, following professional training as a surveying technician at the Berlin Senate of Urban Development. Her research focuses on pattern recognition and image interpretation, particularly applying machine learning and deep learning techniques to photogrammetry and remote sensing problems. Wenzel's work prominently features Markov Marked Point Processes and the analysis of symmetries and repeated structures in images, with applications ranging from facade interpretation to oceanographic analysis. Her interdisciplinary approach bridges computer vision, geospatial analysis, and machine learning. The analysis of her 15 most recent publications reveals a strong trend toward applying advanced machine learning techniques, particularly deep learning and self-taught learning approaches, to photogrammetric and remote sensing problems. Her research spans multiple domains including urban modeling (facade interpretation), environmental monitoring (ocean eddies, sea level anomalies), and forensic applications (latent trace detection), demonstrating remarkable versatility while maintaining a core focus on image interpretation methodologies. Faculty Teaching Award 2014 Faculty Award for the best student in 2007 in Geodesy and Geoinformation Turbo-Preis 2007 of Society for Geodesy, Geoinformation and Land Management (DVW) Dr. Wenzel has supervised numerous Master's and Bachelor's students on diverse topics including neural network applications for ocean eddy tracking, hyperspectral imaging for latent trace detection, and deep learning for remote sensing image classification. Her teaching portfolio includes Photogrammetrie I and II courses since 2009, and she managed the development of the Geodetic Engineering Master's program at IGG from 2015-2018. Her research has been supported through positions at both the University of Bonn and Forschungszentrum Jülich, where she contributes to interdisciplinary projects bridging geospatial analysis and machine learning.
Simon Harper is a Professor of Human Computer Systems at the University of Manchester, leading the Web Ergonomics Lab. His research focuses on web accessibility, human-computer interaction, and healthcare technology, with a particular emphasis on disabilities like visual impairment. He has pioneered initiatives such as the Web4All conference series and serves on steering committees for major conferences like ACM HT and ASSETS. Harper has secured over £1.45M in grants since 2007 and holds an h-index of 20. His work spans medical technology innovations (e.g., HYPO-CHEAT hypoglycemia reduction system), accessibility evaluation methods (OPTIMAL-EM tool), and environmental monitoring via citizen science. He has received prestigious awards including the ACM Doug Engelbart Prize (2000) and Best Paper awards at W4A. Harper's academic contributions include over 140 publications, with key areas in diabetes management systems, Parkinson’s disease monitoring via smartphone data, and web accessibility evaluation methodologies. His teaching integrates cutting-edge research into professional computing education, emphasizing real-world industry practices. He is actively involved in standards bodies like the W3C Web Accessibility Initiative and serves on editorial boards for journals such as ACM Transactions on Accessible Computing. Research Groups: Information Management, Data Science Institute, Web Ergonomics Lab Professional Roles: Chair of ACM SIG Hypertext, RCUK EPSRC Inclusion Cluster Expert Lab Focus: Developing computational models for human behavior in digital environments
