Markus Friedrich is a Professor in the Department of Biological Sciences at Wayne State University, affiliated with the College of Liberal Arts and Sciences. His research focuses on insect development, gene family evolution, and arthropod visual systems, with a particular interest in cave-adapted species. He has held roles including Editor-in-Chief of the Molecular Biology and Genomics Section for the journal Insects and advised on the Australian Research Council project DP230100731 (2023-2024). Education: PhD in Zoology from Ludwig-Maximilians-Universität München (1995), postdoctoral training at Caltech (1996–1999). His research interests span comparative genomics, evolutionary developmental biology, and the genetic basis of sensory adaptations. Notable work includes studies on opsin gene evolution, cave animal adaptations, and the genomic basis of arthropod diversification. Recent publications highlight discoveries in harvestmen relict eyes, horseshoe crab Pax6 homologs, and cave beetle sleep behavior. Teaching includes courses like BIO4220 Biological Dimensions of Evolutionary Psychology and BIO1500 Basic Life Diversity . He has supervised numerous students and volunteers, fostering a dynamic research lab environment. His work integrates genomic, developmental, and evolutionary approaches to unravel mechanisms of trait evolution in insects. Grants/Awards: Australian Research Council funding, editorial leadership in entomology journals. Labs/Teams: The Friedrich Lab focuses on evolutionary genetics, with projects involving Tribolium beetles, cave organisms, and comparative genomics.
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Chen Ranمشاهده پروفایل
استادیار
Chen Ran, PhD, is an Assistant Professor in the Department of Neuroscience at Scripps Research in San Diego. His laboratory focuses on understanding how the brain processes internal sensory signals from visceral organs, such as hunger, satiety, nausea, and visceral pain. Using advanced techniques like in vivo two-photon calcium imaging, optogenetics, and circuit tracing, his team maps the functional architecture of brainstem circuits responsible for interoceptive processing. Key contributions include the discovery of a 'visceral homunculus' in the brainstem and the development of novel calcium indicators for high-resolution neuronal activity tracking. Education : PhD in Biology, Stanford University (2017) Bachelor of Science in Biology, Peking University (2011) Research Interests : Dr. Ran’s work integrates experimental and analytical approaches to decode how visceral stimuli are transduced into conscious sensations. Current projects investigate the coding logic of mechanical, chemical, and thermal signals from internal organs, with implications for developing therapies for obesity, diabetes, visceral pain, and eating disorders. The lab employs cutting-edge tools to visualize and manipulate neural circuits in awake behaving mice, linking circuit-level activity to physiological states. Awards & Honors : NARSAD Young Investigator Award (2022) NIH K01 Career Development Award (2023) Simons Collaboration on the Global Brain Award (2022) Harvard Brain Science Initiative Award (2021) Grants & Funding : Supported by NIH, Simons Foundation, and private philanthropy, his research bridges basic science and translational medicine. Current grants focus on brainstem circuit mapping and developing therapeutic targets for interoceptive disorders. Labs & Affiliations : Dr. Ran leads an interdisciplinary team at Scripps Research’s Neuroscience Department, collaborating with engineers, geneticists, and clinicians to advance interoceptive neuroscience.
Lawrence H. Staib is a Professor of Biomedical Engineering at Yale University, with additional academic appointments in Electrical & Computer Engineering and Radiology & Biomedical Imaging. He holds a Ph.D. from Yale University and specializes in automated medical image analysis, including techniques like model-based segmentation, nonrigid registration, and diffusion tensor imaging (DTI). His research focuses on applications in neuroscience, cardiology, and cancer imaging, emphasizing machine learning and functional MRI analysis. His key contributions include advancements in white matter tractography via anisotropic wavefront evolution, real-time neural tract parcellation (Fasciculography), and noise reduction in diffusion tensor fields. Staib is a Fellow of the American Institute for Medical and Biological Engineering (2015), recognizing his impactful work in medical imaging technologies. Staib's research also encompasses statistical deformation models, perturbation-based shape analysis, and 3D deformable models for volumetric segmentation. He has developed patented 3D ultrasound computed tomography systems (USPTO #6878115, 7025725). His work bridges clinical needs with computational methods, addressing challenges in image registration, structural connectivity analysis, and medical robotics.
Luigi Acerbiمشاهده پروفایل
دانشیار
Luigi Acerbi is an Associate Professor in the Department of Computer Science at the University of Helsinki, where he leads the Machine and Human Intelligence research group. He is also an active member of the Finnish Center for Artificial Intelligence (FCAI) and ELLIS (European Laboratory for Learning and Intelligent Systems). His research focuses on probabilistic machine learning and computational neuroscience, particularly on developing efficient methods for statistical inference, Bayesian models of perception, and resource-constrained rationality. His work bridges machine learning and cognitive science, with applications in Bayesian optimization, simulation-based inference, and image completion. The recent publications highlight a strong trend toward unifying probabilistic conditioning across diverse tasks using transformer-based meta-learning frameworks like the Amortized Conditioning Engine (ACE). These works emphasize amortized inference, flexible latent variable modeling, and the integration of prior knowledge at runtime, enabling efficient and scalable Bayesian methods for complex problems. Scientific Affiliations: University of Helsinki, Department of Computer Science Finnish Center for Artificial Intelligence (FCAI) ELLIS (European Laboratory for Learning and Intelligent Systems) Education: PhD in Computational Neuroscience, Doctoral Training Centre, Edinburgh, UK Advisor: Sethu Vijayakumar and Daniel Wolpert Visiting work at Computational and Biological Learning Lab, Cambridge Postdoctoral Experience: Alex Pouget’s lab, University of Geneva, Switzerland Wei Ji Ma, New York University, USA Collaboration with the International Brain Laboratory Luigi Acerbi mentors PhD students including Daolang Huang and Nasrulloh Loka, and collaborates widely with researchers such as Samuel Kaski. He has contributed to open-source tools like PyVBMC and is involved in community initiatives such as the EurIPS conference. His work is supported by grants from the Research Council of Finland, Business Finland, and the UKRI Turing AI World-Leading Researcher Fellowship. He leads a research lab focused on amortized probabilistic inference, with ongoing projects including PriorGuide and Stacked VBMC, aiming to make Bayesian methods more practical and accessible for real-world scientific and engineering applications.
Tianxi Liمشاهده پروفایل
استادیار
Tianxi Li is an Assistant Professor in the Department of Statistics at the University of Minnesota, Twin Cities, within the College of Science and Engineering. Their research integrates statistical methodology with applications in network science, data privacy, and biomedical data analysis. Their research interests lie at the intersection of statistics and network science, focusing on statistical modeling of complex networks , data privacy , network security , and biomedical applications such as neuroimaging and genomics. They develop adaptive and scalable methods for network estimation, community detection, and differential correlation analysis. The recent publications demonstrate a consistent focus on advancing statistical tools for network-structured data, with increasing applications in neuroscience and cancer genomics. The work spans theoretical development (e.g., network growth models) and practical applications (e.g., glioblastoma gene modules), reflecting a balance between methodology and real-world impact. Tianxi Li leads an active research program funded by the National Science Foundation, indicating recognition and support for their innovative work. Principal Investigator, Statistical tools for network security protection: from data privacy to threat detection , NSF (2024–2025) They advise graduate students in statistics and data science, though specific advisees are not listed. Their collaborative network includes researchers in biostatistics, computer science, and machine learning, as evidenced by co-authorships and interdisciplinary projects. Li's work contributes to the UN Sustainable Development Goals, particularly through advancements in data-driven solutions for secure and ethical data analysis.
Virend Somers, M.D., Ph.D. , is a Professor of Medicine at Mayo Clinic in Rochester, Minnesota, with primary appointments in the Department of Cardiovascular Medicine, and joint appointments in Physiology & Biomedical Engineering and Nephrology & Hypertension. He directs the Cardiovascular and Sleep Facilities within Mayo Clinic's Center for Clinical and Translational Science. Education: MB ChB, University of Natal D.Phil., University of Oxford Resident, Internal Medicine, University of Iowa Fellow, Cardiovascular Diseases, University of Iowa Hospitals and Clinics Research Interests: Dr. Somers' research centers on neural and vascular mechanisms in circulatory control, particularly in sleep disorders such as obstructive and central sleep apnea, hypertension, obesity, and heart failure. His team investigates autonomic nervous system regulation, chemoreflex responses, and vascular biology in humans. His work bridges basic physiology with clinical applications to improve cardiovascular outcomes. Publication Trends: His recent publications (2021–2025) show a strong emphasis on sleep-cardiovascular interactions, including blood pressure regulation during sleep, cardiovascular mortality in the context of comorbidities like obesity and COVID-19, and neurocardiological mechanisms in arrhythmias and syncope. His work frequently appears in high-impact journals such as Sleep , Journal of the American Heart Association , and Journal of Physiology . Scientific Awards: Alice Sheets Marriott Professor (2016) CTSA Mentor of the Year (2012) Distinguished Scientist in Cardiopulmonary Physiology, American College of Chest Physicians (2017) Stanford University World's Top 2% Scientists (2021) Lifetime Achievement Award, South African Society of Sleep Medicine (2012) Doctor Honoris Causa, Masaryk University (2007) Advising and Grants: Dr. Somers has mentored numerous trainees who have won national awards. His research is supported by four NIH R01 grants, a Dana Foundation grant, and a NATO grant. His leadership in collaborative research spans institutions in the U.S., Europe, and South Africa. Labs and Teams: He leads the Cardiovascular Facility and Sleep Facility at Mayo Clinic’s Center for Clinical and Translational Science, fostering interdisciplinary research on sleep and cardiovascular disease.
Josh McDermott is a Professor in the Department of Brain and Cognitive Sciences at MIT and an Associate Investigator at the McGovern Institute. He holds roles as Associate Department Head and Principal Investigator of the Laboratory for Computational Audition. His work bridges psychology, neuroscience, and engineering to study auditory perception, with a focus on sound interpretation, hearing impairment treatments, and machine hearing systems. Education includes a B.A. from Harvard (summa cum laude), an MPhil from University College London, and a PhD from MIT. Postdoctoral training included NYU and the University of Minnesota. Research interests encompass computational principles of sound perception, natural sound statistics, music cognition, and machine hearing. Key areas include sound localization, auditory scene analysis, and the role of generative models in perception. Recent publications highlight advancements in auditory neural networks, cross-cultural music perception, and noise schema processing. Awards include the Troland Research Award, BCS Excellence in Advising, and NSF CAREER Award. Advising includes over 20 graduate students and postdocs, with notable contributions to auditory neuroscience and machine learning. Major grants support projects on auditory models and sensory systems. The lab develops tools like cochleagram generation and headphone screening software. The Laboratory for Computational Audition operates at MIT, focusing on biological and computational approaches to hearing. Collaborations span engineering, psychology, and neuroscience to advance understanding of auditory processing.
- Auditory Neuroscience
- Psychology
- Machine Learning
- +۵ مورد دیگر
Prof. Stephan J. Sigrist is a Full Professor of Genetics at the Institute of Biology, Free University of Berlin. His lab focuses on synaptic active zone architecture, neuroplasticity, and aging-related neurodegeneration. He leads the Collaborative Research Center 958 on Membrane Scaffolding and co-directs NeuroCure, a DFG Cluster of Excellence at Charité. Education: PhD in Molecular Genetics (1997) and Habilitation (2005) from the University of Göttingen. Positions: Einstein Professor (2014–present), Spokesperson CRC 958 (2012–present), and Co-Director NeuroCure (2009–present). Research explores presynaptic mechanisms using Drosophila and mouse models, combined with STED microscopy. Key contributions include discoveries of Bruchpilot's role in active zones and spermidine's protective effects against age-related synapse decline. Grants: Over €6 million in funding, including DFG CRCs, Einstein Foundation, and ERC Advanced Grant (2025). Awards: Einstein Professorship, Best Habilitation Award, EMBO/HFSP Fellowships. Collaborations span structural biology (e.g., Stefan Hell), neurophysiology (David DiGregorio), and aging research (Frank Madeo).
Professor Paul C. Bressloff holds the Chair in Applied Mathematics and Stochastic Processes at Imperial College London's Department of Mathematics within the Faculty of Natural Sciences. His research focuses on stochastic and non-equilibrium processes, particularly in molecular and cell biology, utilizing tools from probability theory, statistical physics, and dynamical systems. He authored a seminal textbook Stochastic Processes in Cell Biology (Springer), with a 2nd edition published in 2022. Previously, he led the graduate program in mathematical biology at the University of Utah from 2001 to 2023. Research interests include stochastic multi-particle systems, active particles, phase separation, and diffusion across semi-permeable interfaces. His work spans applications in neural field theory, cytoneme-mediated morphogenesis, and protein trafficking. He is affiliated with the Biomathematics Group and Mathematical Physics Group at Imperial. Recent articles explore stochastic resetting in search processes, narrow-capture problems, and hybrid models of switching diffusions. His advising includes over 20 graduate students, many now faculty in mathematical biology. His contributions bridge applied mathematics and biological systems, emphasizing interdisciplinary approaches to complex stochastic phenomena.
Professor Richard Wade-Martins is a leading academic in University of Oxford 's Department of Physiology, Anatomy and Genetics . He directs the Molecular Neurodegeneration Research Laboratory and the Oxford Parkinson’s Disease Centre (OPDC). With degrees from Cambridge (MA) and Oxford (DPhil), he has held prestigious fellowships including Wellcome Trust Research Career Development Fellowship and NIH reviewer roles. His research targets molecular mechanisms in Parkinson’s and Alzheimer’s diseases through iPSC models , transgenic mice , and lysosomal function studies . He pioneered work on SNCA , MAPT , and LRRK2 gene pathways. Current projects focus on gene therapy and mitochondrial dysfunction in neurodegeneration. Key publications (2019–2025) reveal trends in single-cell transcriptomics , calcium channel inhibition , and TFEB/TFE3 lysosome modulation . His awards include Wellcome Trust Fellowships and advisory roles for Parkinson's UK , Alzheimer's Research UK , and EU consortia like StemBANCC and EFACTS . He leads the UK Dementia Platform iPSC Initiative and serves on international boards in Luxembourg and Canada.
Professor Gail S. Goodman, a Distinguished Professor of Psychology at the University of California, Davis, is a pioneering scholar in developmental psychology and psychology-law intersections. She directs the Center for Public Policy Research and has established foundational research in children's eyewitness memory and child victims' experiences in legal contexts. Ph.D., M.A., B.A. in Psychology from the University of California, Los Angeles Her research focuses on memory development and children's roles as witnesses, examining trauma-memory relationships, attachment influences, emotional regulation, and forensic interview techniques. Her work has informed legal policies and been cited in U.S. Supreme Court decisions. Key trends in her recent publications include trauma's impact on memory accuracy, false memory balancing, and courtroom dynamics for child witnesses. Her studies span developmental psychology, forensic science, and trauma recovery. 2017 APSAC Handbook chapter on child interview techniques 2017 American Psychologist review on trauma memory and counseling 2016 chapters on memory development and trauma psychopathology Professor Goodman has received numerous accolades, including APA's Urie Bronfenbrenner Award, APS's James McKeen Cattell Award, and an Honorary Doctorate from the University of Oslo. She has also earned teaching and mentoring awards at UC Davis. As Director of UC Davis's Center for Public Policy Research, she consults with global agencies on child maltreatment policies and leads interdisciplinary teams studying memory, trauma, and legal systems. Her work bridges academic research with practical applications in law and child welfare.
Jesper Lund Pedersen is an Associate Professor at the Department of Mathematical Sciences , University of Copenhagen , specializing in applied probability theory with applications in financial mathematics and insurance mathematics . His research spans stochastic processes, optimal stopping time problems, and stochastic control. Education : PhD in Mathematics (2000, Aarhus University) His work addresses: (Nonlinear) optimal stopping time problems Stochastic control and filtering Multidimensional point processes Levy processes in finance Key publications reveal expertise in Bayesian changepoint detection , random drift identification , and mean-variance portfolio optimization , with interdisciplinary applications in neuroscience (V-ATPase dynamics) and epidemiology. Scientific awards : Villum Experiment Grant (2018-2020) Steno Research Fellowship (2002-2005) His research collaborations span Denmark, the UK, Germany, and the USA, focusing on probability theory, financial mathematics, and biomedical applications.
Prof. Dr. Sabine Maasen is a Professor of Sociology of Science at the Technical University of Munich (TUM) and serves as Director of the Munich Center for Technology in Society (MCTS). She is affiliated with the TUM School of Governance and contributes to the Wissenschaftlicher Rat (Scientific Council) of the German Science Council and the Scientific Commission of Lower Saxony. Education: Studied Sociology, Linguistics, and Psychology at Bielefeld University PhD in Sociology (1996) Habilitation (2001) Her research focuses on the sociology of science, with a specific emphasis on neuroscience sociology, technoscience, and the societal implications of digital technologies. She explores how neurotechnologies (e.g., neuroprosthetics, neurofeedback) and digital platforms (e.g., Web 2.0) reshape subjectivity and social norms. Recent publications highlight ethical challenges in large-scale projects like the Human Brain Project, the recontextualization of oxytocin as a "social hormone," and the interplay between technosocial systems and autonomy. Her work bridges neuroscience, sociology, and digital ethics. Labs/Teams: Director, Munich Center for Technology in Society (MCTS) Active in interdisciplinary collaborations at TUM School of Governance
Brooks Casas, Ph.D., is a Professor at the Fralin Biomedical Research Institute at VTC, with joint appointments in the Department of Psychology (College of Science), Department of Biomedical Engineering and Mechanics (College of Engineering), and the Department of Psychiatry and Behavioral Medicine (School of Medicine) at Virginia Tech. He is also a College of Science Faculty Fellow, recognized for his contributions to decision neuroscience and computational psychiatry. Ph.D. in Psychology, Harvard University Postdoctoral Fellowship, Baylor College of Medicine Former Assistant Professor of Neuroscience and Psychiatry, Baylor College of Medicine Brooks Casas investigates the neural computations underlying social decision-making, focusing on how valuation, learning, and social preferences shape human choices. His research integrates decision neuroscience, behavioral economics, and social psychology to understand both normative and pathological decision processes. Key areas include trust, risk preferences, social influence, and impaired decision-making in psychiatric disorders such as substance abuse and borderline personality disorder. His lab employs fMRI, computational modeling, and longitudinal studies to explore these phenomena. His recent publications span topics such as machine learning applications in diagnosing borderline personality disorder, neural predictors of adolescent risk behaviors, and the role of cognitive control in substance use. His work often involves large-scale longitudinal studies, such as the decade-long investigation into early life adversity and brain development with Jungmeen Kim-Spoon. He has not received any explicitly mentioned scientific awards in the provided text. Casas leads the Casas Lab within the Center for Human Neuroscience Research and collaborates extensively with students and researchers across disciplines. His work is supported by grants from the National Institutes of Health and the Institute for Society, Culture, and Environment. He advises multiple graduate students and early-career researchers, contributing significantly to training in computational psychiatry and decision neuroscience. His lab, the Casas Lab, is part of the Fralin Biomedical Research Institute and focuses on human neuroscience research, particularly using neuroimaging and behavioral experiments to study social and economic decision-making.
Sarah Lummis is a Professor in the Department of Biochemistry at the University of Cambridge. Her research focuses on understanding the structure-function relationships of Cys-loop ligand-gated ion channels (pLGICs), which are critical for neurotransmission and targets for pharmaceuticals. Her work addresses how structural features of these receptors influence their function and drug interactions. Research interests include ion channel biology, molecular pharmacology, and structural biology. Key publications investigate residues affecting receptor activity in 5-HT3 receptors, glycine receptors, and the prokaryotic channel ELIC. Her studies contribute to drug development for neurological disorders like epilepsy and Alzheimer's disease. Contact: sl120sec@bioc.cam.ac.uk | Group accepts interns, students, and researchers. Located at the Hopkins Building, Downing Site, Cambridge.
- Neuroscience
- Biochemistry
- Structural Biology
- +۳ مورد دیگر
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