Piotr Koniusz is a Principal Research Scientist at Data61/CSIRO and an Honorary Associate Professor at the Australian National University (ANU), with an Adjunct role at UNSW. He holds a PhD in Computer Vision from the University of Surrey (2013) and a BSc from Warsaw University of Technology (2004). His research focuses on Foundation Models, Representation Learning, and Few-shot Learning, with contributions to Graph Neural Networks and Adversarial Robustness. Key roles include Program Chair for NeurIPS’25, Senior Area Chair for ICML’25 and ICLR’25, and Workshop Co-Chair for WWW’25. Awards include the Sang Uk Lee Best Student Paper (ACCV’22) and recognition as an Outstanding Area Chair (ICLR 2021–2023). Research interests span Vision-Language Models (VLMs), Generative Adversarial Networks (GANs), and Domain Adaptation. He supervises PhD students at ANU and collaborates with industry on projects like traffic forecasting and ecotoxicology prediction.
Joerg Sander is a Professor and Chair of the Department of Computing Science at the University of Alberta's Faculty of Science. His research focuses on knowledge discovery in databases, particularly density-based clustering (e.g., DBSCAN, OPTICS, HDBSCAN*) and outlier detection (e.g., LOF). He is a leading contributor to foundational algorithms in data mining, including the DBSCAN paper which received the 2014 SIGKDD Test-of-Time Award. Education: M.A., Philosophy of Science (University of Munich, 1989) Diploma in Computer Science (University of Munich, 1996) Ph.D., Computer Science (University of Munich, 1998) Research Interests: Design and theoretical analysis of clustering algorithms Outlier detection methodologies Spatial and high-dimensional data mining Algorithm scalability and visualization Key Contributions: DBSCAN (density-based spatial clustering of applications with noise) OPTICS (ordering points to identify the clustering structure) LOF (local outlier factor) Awards: SIGKDD Test-of-Time Award (2014)
Michelle CD Bridi is an Assistant Professor in the Department of Neuroscience at West Virginia University School of Medicine , with a joint affiliation at the Rockefeller Neuroscience Institute . Her research integrates synaptic plasticity , sleep physiology , and neurological conditions to investigate dynamic synaptic regulation under typical and atypical states. Education: BS , McGill University, 2006 PhD , University of Pennsylvania, 2013 Research Focus: The Bridi Lab explores how daily oscillations in excitation/inhibition (E/I) balance are disrupted in Autism Spectrum Disorder (ASD) , aging , and post-stroke states . Current projects address: 1) synaptic adaptation to sleep/wake cycles, 2) E/I imbalance in neurodevelopmental disorders, and 3) molecular mechanisms maintaining neuronal firing rate homeostasis. Publication Trends: Recent work spans REM sleep plasticity , autism models , and neurodegenerative interventions , emphasizing synaptic oscillations , NMDA receptor pathways , and gene therapy applications. Collaborative efforts with Morgan Bridi's lab extend findings to stress and stroke contexts. Grants & Collaborations: Research is funded by NIH/NIGMS , BBRF , and NSF . The lab actively collaborates with cross-institutional teams and is recruiting postdocs and students for ongoing studies.
Dennis Nestvogel is a Research Group Leader at the Max Planck Institute of Psychiatry in Munich, Germany, where he leads research in the department of Neural Dynamics and Behavior. His work focuses on understanding how behavioral states such as arousal, attention, and stress modulate sensory processing and decision-making in the brain. Research Interests: Dr. Nestvogel's research centers on thalamocortical network dynamics, brain oscillations, and state-dependent neural activity. He investigates how these processes influence sensory-guided behavior and how their disruption contributes to psychiatric disorders including schizophrenia, ADHD, and PTSD. His approach integrates in vivo intracellular recordings, high-density neural recordings, optogenetics, and mouse behavioral paradigms. Publication Trends: His recent publications reveal a strong focus on the neural mechanisms underlying waking states, sensory processing, and cortical dynamics. Themes include alpha oscillations, synaptic regulation, neuromodulation, and the impact of genetic mutations on stress sensitivity in psychiatric conditions. His work bridges molecular, systems, and cognitive neuroscience. Scientific Contributions: Investigating how behavioral states gate sensory input in the cortex Elucidating the role of thalamocortical circuits in arousal and attention Linking synaptic proteins like CAPS-1 to sensory adaptation Exploring genetic underpinnings of stress sensitivity in bipolar disorder Advising and Grants: While no students are listed, Dr. Nestvogel leads an independent research group, indicating leadership in mentoring junior scientists and managing research projects. His affiliation with the Max Planck Institute suggests access to substantial institutional funding and collaborative resources. Labs and Teams: He heads the research group within the Neural Dynamics and Behavior unit at the Max Planck Institute of Psychiatry, collaborating closely with leading neuroscientists such as David A. McCormick. His lab utilizes cutting-edge techniques to probe brain function in awake, behaving animals.
Prof. Wouter Roos is a Professor at the University of Groningen's Faculty of Science and Engineering, affiliated with the Molecular Biophysics department at the Zernike Institute for Advanced Materials. His research focuses on viral dynamics, membrane assemblies, and protein mechanics, utilizing advanced techniques like High Speed Atomic Force Microscopy (HS-AFM) and optical tweezers. Education: Studied Physics at the Universiteit van Amsterdam, earned a PhD from the Universität Heidelberg under Joachim Spatz. Conducted postdoctoral research at Max-Planck-Institut, Institut Curie, and Vrije Universiteit before joining Groningen in 2015. Research Interests: Physical Virology (viral material properties and dynamics), membrane biophysics (synthetic cells and lipid interactions), and molecular motor systems. His work bridges physics, chemistry, and biology to understand nanoscale biological processes. Recent Article Trends: Studies on hybrid membranes for synthetic cells, leukemic cell mechanics, and antibiotic-membrane interactions highlight his interdisciplinary approach. Key techniques include HS-AFM and single-particle tracking. Awards: Received a VIDI grant and multiple national/international grants. His lab leads the oLife Co-Fund consortium and participates in the MOSBRI research infrastructure. Grants & Leadership: Coordinates the oLife Fellowship Programme and chairs the Molecular Biophysics Lab. Active in steering committees for EU-funded initiatives. Labs/Teams: Heads the Molecular Biophysics Lab, focusing on viral dynamics and membrane systems. Collaborates globally on projects like ESCRT-III polymerization and antibiotic mechanisms.
Sonia Mayoral is the Robert J. and Nancy D. Carney Assistant Professor of Neuroscience at Brown University. Her research focuses on studying cell-cell interactions in the brain, particularly the development and function of oligodendrocytes – glial cells critical for myelin formation. She explores how these cells contribute to myelination, remyelination processes, and their roles in neurological disorders like multiple sclerosis. Her work integrates cellular neuroscience, immunology, and drug screening methodologies. Research interests include glial cell biology, neuron-glial interactions, and the molecular mechanisms governing myelin repair. She investigates how environmental cues and signaling pathways regulate oligodendrocyte differentiation and function. Notable projects involve developing high-throughput screening platforms for MS therapeutics and studying sex-specific responses to neurodegenerative challenges. Her lab’s recent work includes clinical trials (Re-WRAP) evaluating Bazedoxifene for remyelination in women, and fundamental studies on regulatory T cell roles in myelin regeneration. She also examines how mechanical stimulation and epigenetic changes influence oligodendrocyte behavior. Her research bridges basic science and translational efforts, aiming to advance treatments for myelin-related disorders. Dr. Mayoral’s lab is active at Brown University, with a dedicated website detailing ongoing projects and collaborations. While no specific grants or students are listed here, her work reflects a strong focus on interdisciplinary approaches to neurodegenerative disease mechanisms.
Jessica E. Treisman is a Professor in the Department of Cell Biology and Department of Ophthalmology at NYU Grossman School of Medicine. Her research focuses on developmental genetics and molecular neuroscience, particularly in the context of visual system development and synapse formation in Drosophila . Research Interests: Cell fate determination, tissue morphogenesis, neural circuit assembly, and corneal lens development Contact: Jessica.Treisman@nyulangone.org | 212-263-1031 Lab: Treisman Lab, Skirball Institute, New York, NY Her work explores how intrinsic transcription factors and extrinsic signaling pathways interact to regulate cell differentiation and tissue organization in the Drosophila visual system, with implications for understanding human corneal development and neural connectivity disorders. Recent publications highlight her contributions to understanding: Molecular mechanisms of corneal lens curvature formation Regulation of synaptic targeting specificity Role of Sidekick in epithelial junction dynamics Transcriptional synergy between Glass and EGFR signaling The Treisman Lab employs interdisciplinary approaches in Drosophila genetics to uncover fundamental principles of cell signaling and neural circuit development, with potential applications in human vision research and developmental disorders.
Mehmet Koyutürk serves as the Andrew R. Jennings Professor in the Department of Computer and Data Sciences at Case Western Reserve University's Case School of Engineering, with additional affiliation as a Member of the Cancer Genomics and Epigenomics Program at the Case Comprehensive Cancer Center. His computational research bridges algorithm development with biological applications, focusing on network-structured data analysis to address complex biomedical challenges. Dr. Koyutürk earned his Ph.D. in Computer Science from Purdue University following B.S. and M.S. degrees in Electrical Engineering and Computer Engineering from Bilkent University. His primary research domains include high-throughput biological data analysis, systems/network biology methodologies, data mining algorithms, and scientific computing optimization, with particular emphasis on phosphorylation networks, genomic interactions, and multi-omics integration. Recent publication trends reveal expanding applications of his network science expertise into Alzheimer's disease phosphoproteomics, bipolar disorder biomarker discovery, and intimate partner violence analysis, while maintaining core contributions to graph neural networks and biological link prediction. His group actively develops open-source analytical tools like RokaiXplorer for phospho-proteomic data accessibility. Scientific Recognition Andrew R. Jennings Professorship Dr. Koyutürk leads multiple NIH-funded initiatives including R01-LM012980 for phosphoproteomics analysis, U01-CA198941 (BD2K program) for big network integration, and R01-LM011247 for GWAS enhancement, complemented by NSF CAREER Award CCF-0953195. He serves on the steering committee for CWRU's Systems Biology and Bioinformatics graduate programs and as Associate Editor for IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB), with extensive collaboration through Mark Chance's Center for Proteomics and Bioinformatics. His laboratory specializes in developing scalable algorithms for biological network analysis, currently advancing projects on kinase-substrate association prediction, co-phosphorylation network characterization in cancer, and network-based approaches to intimate partner violence data mining, with strong emphasis on translating computational methods into biomedical insights through open-source software dissemination.
Tina Izard, Ph.D., serves as a Professor at The Scripps Research Institute in Jupiter, Florida, leading the SR-CHEM-IZARD LAB. Her institutional affiliation includes a business mailing address at 130 SCRIPPS WAY # 2C1, Jupiter, FL 33458 (Location C234) and a business phone number (561) 228-2000. The laboratory was equipped with a cryoARM300 electron microscope installation in 2020, indicating a strong focus on high-resolution structural analysis techniques. Her research centers on the molecular mechanisms of environmental toxicants, particularly their disruption of integrin-mediated cell signaling within specialized membrane microdomains known as lipid rafts. This work bridges environmental health sciences with structural biochemistry, investigating how pollutants interfere with fundamental cellular communication pathways. Her approach integrates cryo-electron microscopy with biochemical assays to visualize and quantify toxicant-induced alterations in protein complexes involved in cell adhesion and signal transduction. Dr. Izard's 2025 publication in BioEssays exemplifies her research trajectory, demonstrating how environmental contaminants target lipid raft-organized signaling hubs. This work reveals novel mechanisms by which toxicants dysregulate integrin function, with implications for understanding environmental contributions to diseases involving cellular adhesion defects. Her research consistently emphasizes the structural basis of toxicant interactions with membrane-associated protein complexes. No scientific awards or honors were documented in the provided source material. While no student advisees or specific grant funding are listed in the available information, Dr. Izard directs the SR-CHEM-IZARD LAB, which maintains advanced cryo-electron microscopy capabilities. The laboratory's infrastructure supports structural investigations of protein-membrane interactions, with ongoing research focused on elucidating the molecular architecture of signaling complexes vulnerable to environmental disruption. Current work appears to be developing structural models of toxicant-bound integrin complexes to identify potential intervention points.
Meeyoung Cha is a Professor at KAIST and Scientific Director of the Max Planck Institute for Security and Privacy (MPI-SP) in Bochum, Germany. Her research focuses on Data Science for Humanity, encompassing computational social science, misinformation dynamics, and human-machine interaction. She holds a PhD in Computer Science from KAIST (2008) and previously served as Chief Investigator at the Institute for Basic Science and Visiting Professor at Facebook. Her work addresses societal challenges such as poverty mapping, fraud detection, and AI ethics. Key achievements include best paper awards and recognition like the Hong Jin-Ki Creator Award (2024) and Test-of-Time Awards (ACM IMC 2022, AAAI ICWSM 2020). Research interests span AI ethics, social media analysis, and interdisciplinary applications of machine learning. Notable projects include modeling climate risks via satellite imagery and analyzing chatbot interactions' societal impacts. She leads the MPI-SP's Data Science for Humanity Group, mentoring over 20 students across PhD and postdoc programs. Education: PhD in Computer Science (KAIST, 2008) Affiliations: MPI-SP (Germany), KAIST Key Awards: Hong Jin-Ki Creator Award, Korean Young Information Scientist Award, Test-of-Time Awards Her publications bridge computational methods with societal issues, including climate modeling, protein engineering, and algorithmic fairness. Current projects explore geospatial AI for economic development and ethical AI design frameworks.
Quentin S. Fischer, Ph.D., is a Research Assistant Professor at the Fralin Biomedical Research Institute at Virginia Tech Carilion (VTC), where he conducts neuroscience research within the Friedlander Lab. His work focuses on synaptic plasticity mechanisms, particularly long-term potentiation (LTP) and depression (LTD), in the context of mild traumatic brain injury (mTBI) and neural rehabilitation through stimulation. Education: Ph.D. in Psychology (Neuroscience program), University of California, Riverside Master of Arts in Psychology (Neuroscience program), University of California, Riverside Bachelor of Arts in Psychology (Behavioral Neuroscience program), University of Colorado, Boulder Dr. Fischer's research explores how patterns of synaptic stimulation influence calcium signaling and plasticity in both normal and injured brains, aiming to optimize noninvasive neurostimulation therapies such as magnetic or optical stimulation. His prior work extensively examined visual cortex plasticity, ocular dominance, and molecular signaling pathways involving PKA and calcineurin. The publication trends reflect a deep engagement with synaptic and cortical plasticity, particularly in visual systems, spanning molecular, cellular, and systems-level neuroscience. His early work focused on developmental and experience-dependent plasticity in visual cortex, while recent research aims to translate these findings into therapeutic strategies for brain injury. Professional Experience: Instructor, Baylor College of Medicine (Neuroscience; Psychiatry & Behavioral Sciences) Postdoctoral Associate, Yale University Medical School, Dept. Ophthalmology & Visual Science Postdoctoral Research Associate, Ohio University, Neurobiology Program Graduate Student, University of California, Riverside Professional Research Associate II, University of Colorado Research Assistant, University of Colorado Dr. Fischer is actively involved in pre-clinical research and is part of the Friedlander Lab team, contributing to the development of evidence-based neural stimulation protocols for neurorehabilitation. No formal scientific awards or student mentorship details are listed in the provided text.
Hugues Aschard is a Principal Investigator and Structure Manager at the Pasteur Institute in Paris, where he leads research in statistical genetics, microbiome analysis, and computational genomics. He is the principal investigator of the MicMat project, the EpiGenCOV Consortium, and several bioinformatics software initiatives including JASS, RAISS, and MGMM. Research Interests: Statistical and computational methods in genetics Genome-wide association studies (GWAS) Gene-environment interactions Microbiome and host genetics in inflammatory bowel disease Genetic epidemiology of infectious diseases like COVID-19 Development of open-source tools for multi-trait and summary-statistic analysis Recent Research Trends: His recent publications and projects emphasize integrative genetic modeling, multi-trait analysis across diverse populations, and the development of novel computational methods to handle missing data and improve SNP discovery. His work bridges statistical innovation with biological and clinical applications in complex diseases. Scientific Contributions: Development of JASS, RAISS, and MGMM software tools Leadership in large-scale consortia like EpiGenCOV Advancing methods for cross-ancestry genetic studies Advising and Collaboration: He supervises multiple PhD students and postdoctoral fellows, including Christophe Boetto, Antoine Auvergne, and Lucas Chataigner. He collaborates with major institutions such as APHP and CNRGH. His team includes research engineers and administrative staff, indicating an active and well-supported research group. Laboratories and Teams: He is a key member of the Biomaterials and Microfluidics team at the Pasteur Institute, where he contributes to interdisciplinary research involving Bayesian decision processes and genetic modeling.
Brad Sutton is a Professor of Bioengineering at the University of Illinois Urbana-Champaign and Technical Director of the Biomedical Imaging Center at Beckman Institute. He holds affiliate roles in the Neuroscience Program, Department of Electrical and Computer Engineering, and is a Health Innovation Professor at the Carle Illinois College of Medicine. His roles also include fellowship positions with the National Center for Supercomputing Applications and the CZ Biohub Chicago. Education: Ph.D. in Biomedical Engineering from the University of Michigan (2003). Research Interests: Focus on advanced MRI techniques for structural and functional brain imaging, including diffusion-weighted imaging, dynamic imaging, and neuromuscular coupling studies. His work emphasizes multi-scale bioimaging to understand brain function across interventions, aging, and disease. Publications: Over 180 peer-reviewed articles in 2025-2024 highlight innovations in MRI technology and applications in neuroscience, including breakthroughs in laminar fMRI specificity, myelin development modeling, and Alzheimer’s biomarker studies. Recent work extends to clinical applications like aortic imaging automation and mixed reality training tools. Awards: AIMBE and ISMRM Fellowships (2017/2024), Abel Bliss Scholar (2014-), and over 9 patents in imaging techniques. Labs & Teams: Leads the Magnetic Resonance Functional Imaging Lab. Collaborates with interdisciplinary teams across engineering, medicine, and computational science to advance imaging technologies and their clinical translation.
Yang Zhang is a Visiting Assistant Professor in the Department of Mathematics at the University of California, Irvine (UCI), working under Prof. Katya Krupchyk. His research focuses on inverse problems in imaging sciences, nonlinear hyperbolic equations, and medical imaging applications. He previously held a postdoctoral position at the University of Washington, Seattle, under Prof. Gunther Uhlmann. His work integrates microlocal analysis and partial differential equations to address challenges in wave propagation, nonlinear acoustics, and elasticity. Education & Career: PhD from Purdue University (advisor: Prof. Plamen Stefanov) Postdoc: University of Washington, Seattle (2020–2024) Research Interests: Dr. Zhang's work spans inverse problems for nonlinear hyperbolic equations, acoustic imaging, and integral transforms in medical contexts. He develops novel methodologies using multi-fold linearization, wave interactions, and advanced calculus techniques. His studies on Rayleigh and Stoneley waves in elasticity further demonstrate his expertise in microlocal analysis. Key Contributions: His research bridges theoretical mathematics and applied imaging, with notable publications on inverse scattering, damping effects in wave equations, and Compton camera imaging. He is an active member of the Inverse Problems International Association (IPIA). Grants & Collaborations: Collaborations with prominent figures like Prof. Gunther Uhlmann and Prof. Katya Krupchyk highlight his network in inverse problems. His work often involves both analytical and computational approaches, with applications in medical diagnostics and geophysics.
David Klindt is Assistant Professor at Cold Spring Harbor Laboratory, leading research at the intersection of biological systems and artificial intelligence. His lab investigates how brains process sensory information and generalize knowledge across contexts, studying neural representations to inspire robust AI models. Research combines computational neuroscience and machine learning to develop algorithms mimicking biological learning efficiency. Current projects examine latent computing in biological neural networks through dynamical systems frameworks, sparse coding principles in neural representations, and geometric organization in visual processing. His group develops methods for mechanistic interpretability, self-supervised learning identifiability, and compute-efficient inference. Recent publications analyze toroidal representations in grid cells, retinal feature detection, and Cryo-EM structure disentanglement. Dr. Klindt's work has been recognized through publications in Nature Communications, eLife, and NeurIPS. Before joining CSHL, he was a Machine Learning Research Scientist at Meta Reality Labs and postdoctoral researcher at Stanford University and NTNU. He holds a Ph.D. in Computational Neuroscience and Machine Learning from the University of Tübingen.
