Find Academic Supervisors

• Neuroscience
• Cortical Circuits
• Sensory Processing
• +4 more

Anne-Marie Oswald is an Associate Professor in the Department of Neurobiology within the Biological Sciences Division at the University of Chicago. Her research profile indicates active engagement in neuroscience research with a particular focus on cortical circuits, neural coding, and sensory processing systems. She maintains an active research program with publications spanning from 2011 to the present. Dr. Oswald's research interests span multiple areas of neuroscience, with particular emphasis on cortical circuit function, neural coding mechanisms, and sensory processing. Her work investigates how inhibitory interneurons shape cortical dynamics, how neural assemblies form during learning, and how sensory information is processed across different brain regions. Notably, she has also contributed to discussions on diversity in science through her publication "Curating more diverse scientific conferences" in Nature Reviews Neuroscience (2020). Her research employs a combination of electrophysiological, computational, and behavioral approaches to understand neural circuit function. Analysis of her publication record reveals a strong focus on cortical circuit mechanisms, particularly in the olfactory system. Her work demonstrates expertise in understanding how different interneuron subtypes (particularly parvalbumin and somatostatin-positive cells) regulate cortical dynamics, assembly formation, and sensory processing. Over time, her research has evolved from examining basic circuit mechanisms to investigating how these circuits support complex cognitive functions like odor discrimination and associative learning. The consistent presence of computational and systems neuroscience approaches throughout her publication history indicates a rigorous quantitative approach to understanding neural function. Dr. Oswald appears to be actively mentoring students and postdoctoral researchers, as evidenced by her consistent publication record with multiple collaborators. While specific grant information isn't provided in the available data, her sustained publication output suggests successful funding of her research program. Her work bridges cellular and systems neuroscience, contributing to our understanding of how microcircuit properties shape sensory processing and behavior.

Gabriel Koch OckerView profile

Assistant Professor

• Theoretical Neuroscience
• Computational Neuroscience
• Neuronal Network Modeling
• +5 more

Gabriel Koch Ocker is an Assistant Professor in the Department of Mathematics & Statistics at Boston University, specializing in theoretical and computational neuroscience. His research investigates how neural activity encodes sensory information, shapes behavior, and evolves through learning mechanisms. Research Focus: Structure-function relationships in neuronal networks Methodology: Dynamical systems, stochastic processes, statistical physics Collaborations: Experimental validation of computational models Recent publications analyze integrate-and-fire networks, dendritic calcium spiking, inhibition-stabilized circuits, and metastability in stochastic neuronal systems. His group combines mathematical rigor with biological relevance to explore neural coding, plasticity, and functional hierarchy in cortical structures. Key contributions include tensor decomposition approaches to correlation analysis, reconciling recording technique discrepancies, and developing field-theoretic frameworks for compartmental modeling. Work spans from molecular-level channel dynamics (Kv7 channels) to brain-area-level functional organization.

Andreas HerzView profile

Professor

• Computational Neuroscience
• Neural Coding
• Spatial Navigation
• +3 more

Prof. Dr. Andreas Herz is a Chair in Computational Neuroscience at the Faculty of Biology, Ludwig-Maximilians-Universität München (LMU). His research focuses on understanding neural mechanisms underlying spatial navigation, temporal cognition, and sensory processing. He leads the Computational Neuroscience group and collaborates with the Bernstein Center for Computational Neuroscience Munich. Research Interests: Dr. Herz investigates how neural systems encode spatial and temporal information, including grid cells, head-direction systems, and neural coding strategies. His work bridges experimental neurophysiology with theoretical modeling, addressing topics like cognitive maps, neural variability, and synaptic plasticity. Teaching & Mentorship: He oversees advanced courses on computational neuroscience and neurophysiology, fostering interdisciplinary training for graduate students. His research group includes prominent collaborators like Dr. Martin Stemmler and PD Dr. Kay Thurley, focusing on projects involving neural network dynamics and behavioral neuroscience. Publications & Impact: Over 85 peer-reviewed articles highlight his contributions to understanding entorhinal-hippocampal circuits, dendritic processing, and neural representation of space/time. Key work includes studies on grid cell variability, zebrafish spatial memory, and cytoskeletal organization in dendritic spines.

Luis Emilio BruniView profile

Associate Professor

• Narrative Cognition
• Extended Reality
• Cognitive Processes
• +6 more

Luis Emilio Bruni is an Associate Professor at Aalborg University’s Department of Architecture, Design and Media Technology, within The Technical Faculty of IT and Design. He leads the Media Cognition and Interactive Systems (MeCIS) research group and coordinates the Master of Science in Medialogy. Bruni is also the founder and director of the Augmented Cognition Lab, focusing on perception, cognition, and immersive technologies. His academic roles include PI on multiple interdisciplinary projects and board memberships in international associations like the Nordic Association for Semiotic Studies (2011–2017) and the International Society for Biosemiotic Studies (founding member, 2005). Academically, Bruni holds a Ph.D. in Molecular Biology and Theory of Science (University of Copenhagen), M.Sc. in International and Global Relations (Universidad Central de Venezuela), and B.Sc. in Environmental Engineering (Pennsylvania State University). His research spans narrative cognition, extended reality, biosemiotics, and the interplay between technology, cognition, and culture. He has conducted projects on neurocinematic analysis, interactive storytelling, and the psychological impact of digital media. Key research contributions include studies on EEG responses to branded advertising, functional connectivity in psychiatric disorders, and the role of narrative in immersive technologies. Bruni’s work bridges cognitive science, computer science, and semiotics, with applications in healthcare (e.g., pediatric counseling tools) and cultural engagement (e.g., citizen curation systems). Over 80+ publications and active participation in conferences and media discussions highlight his interdisciplinary impact.

Michael WallaceView profile

Assistant Professor

• Electrophysiology
• Motivated Behavior
• Basal Ganglia
• +7 more

Michael Wallace serves as an Assistant Professor at Boston University, leading research at the intersection of basal ganglia circuitry, motivated behavior, and synaptic transmission mechanisms. His work addresses fundamental questions about neural control of goal-directed actions and their disruption in neurological disorders. Education: Ph.D. in Neurobiology from the University of North Carolina at Chapel Hill Dr. Wallace's research program centers on genetically defined circuits within the basal ganglia, investigating how these structures guide motivated behaviors and motor control. His laboratory employs a sophisticated multidisciplinary toolkit including in vivo electrophysiology, optogenetics, molecular genetics, computational modeling, and behavioral assays. Key research themes encompass neurotransmitter cotransmission (particularly GABA/glutamate interactions), synaptic vesicle dynamics, and circuit-level pathophysiology in conditions ranging from Parkinson's disease to addiction. The lab's long-term mission targets therapeutic interventions through mechanistic understanding of neural circuit dysfunction. Analysis of his publication record reveals consistent focus on multitransmitter neurons and basal ganglia microcircuitry since 2011, with increasing emphasis on entopeduncular nucleus function and neurotransmitter co-packaging mechanisms. His work demonstrates methodological evolution from anatomical and transcriptional profiling toward real-time circuit interrogation using optogenetic and electrophysiological approaches. The Wallace Lab operates as a dynamic neuroscience research hub, integrating expertise across molecular, cellular, and systems levels. Current investigations leverage cutting-edge techniques to dissect how specific basal ganglia pathways process motivational signals and motor commands, with particular attention to disease-relevant perturbations. This systems neuroscience approach bridges fundamental circuit mechanisms with translational applications for neurological and psychiatric disorders.

Charles GillanView profile

Senior Lecturer

• High Performance Computing (HPC)
• Artificial Intelligence (AI) in Healthcare
• Quantum Computing
• +4 more

Charles Gillan is a Senior Lecturer at Queen's University Belfast's School of Electronics, Electrical Engineering and Computer Science, affiliated with the High Performance and Distributed Computing department and the Institute of Electronics, Communications & Information Technology. His research bridges HPC systems, AI applications in healthcare, and computational physics. Key projects include managing ICU patient care via neural networks, exascale-ready mathematical packages, and edge computing architectures. Research interests focus on high-performance computing (HPC), quantum computing, real-time data analytics, and electron-molecule scattering simulations. Notable contributions include developing microserver architectures for edge analytics and advancing AI-driven clinical decision support systems. Gillan has collaborated on interdisciplinary projects like food authenticity testing using spectroscopy and improving ventilator management in intensive care units. Publications span AI in healthcare, HPC system design, and computational methods for physics problems. He has secured funding for initiatives such as the KTP partnership with Foods Connected Ltd and the HANDHELD olfactory detection project. Gillan's work emphasizes practical applications of advanced computing across healthcare, engineering, and cybersecurity domains.

Katrin VogtView profile

Researcher

• Behavioral Neuroscience
• Neural Circuits
• Sensory Processing
• +7 more

Katrin Vogt is a Group Leader at the University of Konstanz and an Affiliated Scientist at the Max Planck Institute of Animal Behavior. She serves on the IMPRS Board and Faculty, focusing on behavioral neuroscience in Drosophila larvae. Her research explores how social context and internal states (e.g., hunger) modulate neural circuits and behavior, utilizing genetic tools like optogenetics, RNAi, and CRISPR. Key Research Areas: Behavioral flexibility under internal state changes Neural integration of sensory and state signals in the antennal lobe Role of serotonin (CSD neuron) in modulating output pathways Computational modeling of state-dependent circuit dynamics Notable Achievements: Discovered state-dependent olfactory valence switching (e.g., geranyl acetate shifts from aversion to attraction under food deprivation) Elucidated glutamatergic inhibition mechanisms in picky local interneurons Identified 5-HT7 receptor's role in upregulating uniglomerular projection neuron activity Recent Publications: 2025: PLoS Biology on multimodal sensory neurons 2024: Current Biology commentary on behavioral neuroscience 2023: Current Biology on multisensory memory merging Academic Affiliations: University of Konstanz (Group Leader, Department of Collective Behavior) Max Planck Institute of Animal Behavior (Affiliated Scientist) IMPRS for Organismal Biology (Faculty Member) Scientific Awards: DFG Research Fellowship (Project No. 345729665) Students & Collaborators: PhD students: Hari P. Narayanan, Akhila Mudunuri Research assistants: Nora Tutas, Julius Klein, Constantin Dyroff DAAD summer student: Élyse Zadigue-Dubé Recent graduates: Amelie Edmaier (BSc 2023), Constantin Dyroff (BSc 2023)

Maria Neimark GeffenView profile

Professor

• Auditory Neuroscience
• Neuronal Circuits
• Computational Neuroscience
• +5 more

Maria Neimark Geffen is a Professor at the Perelman School of Medicine , University of Pennsylvania , with appointments in the Department of Otorhinolaryngology, Neuroscience, and Neurology . She directs the Lab for Auditory Coding since 2010, focusing on how the brain encodes auditory information and how perception is shaped by experience and emotion. Her work combines two-photon imaging , optogenetics , electrophysiology , and behavioral experiments . Dr. Geffen earned her A.B. in Molecular Biology from Princeton University and a Ph.D. in Biophysics from Harvard, where she discovered a novel retinal circuit. After a postdoc at Rockefeller University, she joined UPenn, uncovering mechanisms like inhibitory neuron roles in sensory acuity and emotional learning links to auditory perception . Her recent publications highlight computational models of auditory cortex circuits , inhibitory neuron subtypes in adaptation , and cross-modal integration , reflecting her interdisciplinary approach. Scientific awards include the Burroughs Wellcome Career Award and Klingenstein Fellowship . Burroughs Wellcome Career Award at the Scientific Interface Klingenstein Foundation Award in Neurosciences Human Frontiers Young Investigator Award Auditory Neurophysiology Spotlight Award Kaufman Foundation New Initiative Grant Dr. Geffen mentors extensively, with trainees winning NIH Ruth L. Kirschstein NRSA and Brain Research Foundation Awards . Her lab collaborates across Computational Neuroscience Initiative , Hearing Sciences Center , and international institutions.

Shantanu JadhavView profile

Professor

• Learning and Memory
• Decision Making
• Neurophysiology
• +5 more

Shantanu Jadhav is a Professor of Psychology at Brandeis University, with affiliations to the Neuroscience Program, the Volen National Center for Complex Systems, and the Sloan-Swartz Center for Theoretical Neurobiology. He earned his B.Tech. from IIT Bombay, Ph.D. from UC San Diego, and completed postdoctoral training at UCSF and UC Berkeley. Research Focus: Neural mechanisms of learning, memory, and decision-making in rodent models Investigation of hippocampal-prefrontal interactions via multielectrode recordings, optogenetics, and computational analysis Role of neural oscillations (theta, gamma, sharp-wave ripples) in memory consolidation and cognitive flexibility Implications for neurological disorders like Alzheimer’s, autism, and schizophrenia Recent work highlights the coordination of dopamine activity with rule representations in the prefrontal cortex and hippocampus, the role of prefrontal ripples in suppressing hippocampal reactivation during sleep, and geometric transformations in cognitive maps enabling cross-environment generalization. His lab has shown that awake sharp-wave ripples are critical for spatial memory and that cross-region neural synchronization underpins memory-guided decisions. Scientific Recognition: Peter and Patricia Gruber International Research Award (2013) Sloan Research Fellow (2015-2017) NARSAD Young Investigator Award (2015-2018) Whitehall Foundation Award (2016-2020) SFARI Core Member (2022-2025) The Jadhav Lab at Brandeis trains postdoctoral fellows, graduate students (via the Neuroscience and Psychology Graduate Programs), and research assistants. Current studies explore hippocampal-prefrontal network dynamics, dopamine signaling in cognitive flexibility, and geometric representations in memory abstraction.

• Artificial Intelligence
• Neural Networks
• Computational Neuroscience
• +4 more

Summary Pawel Andrzej Herman is an Associate Professor at the Division of Computational Science and Technology within the School of Computer Science and Communication (CSC) at KTH Royal Institute of Technology. His research focuses on computational neuroscience, brain-inspired AI, and machine learning applications in healthcare and cognitive science. He teaches multiple courses including Artificial Neural Networks and Deep Architectures , supervises degree projects across computer engineering and electrical engineering disciplines, and actively contributes to interdisciplinary research initiatives. His work bridges theoretical neuroscience with practical AI solutions, emphasizing synaptic plasticity models, neuromorphic computing, and medical diagnostic systems. Key areas include olfactory perception modeling, working memory mechanisms, and FPGA-accelerated neural networks. He collaborates internationally on projects such as AI-driven medical imaging and cognitive neuroscience studies. Dr. Herman’s research has been published in high-impact journals and conferences, with recent contributions to understanding neural mechanisms of odor naming deficits, beta/alpha oscillations in working memory, and spiking neural network architectures. His technical leadership spans HPC frameworks like StreamBrain and interdisciplinary tools for scientific data storage (NoaSci).

Josie ClowneyView profile

Associate Professor

• Neural Circuits
• Developmental Neuroscience
• Chemosensory Systems
• +3 more

Josie Clowney is an Associate Professor in the Department of Molecular, Cellular, and Developmental Biology at the University of Michigan, where she has held faculty position since 2017. Her research investigates the genomic algorithms that construct neural circuits during development, using Drosophila as a model to study how chemosensory systems drive both instinctual behaviors and learning. She teaches Bio 172 and an upper-level seminar on cellular diversity and scientific writing, and mentors graduate students through MCDB, CMB, NGP, and BIOINF PhD programs. Her educational background includes: Ph.D. in Biomedical Sciences (2012) from the University of California, San Francisco B.S. in Cellular and Molecular Biology (2005) from the University of Michigan, where she conducted research with Cunming Duan Clowney's research centers on understanding how definitive neuronal parameters are encoded in genomic information and translated into cellular architectures. Her lab hypothesizes that developmental algorithms for learning circuits versus instinctual circuits differ fundamentally in their genomic requirements, with chemosensory circuits serving as key models. Using fruit flies for their tractable brain organization, her work bridges computational principles and biological implementation to uncover universal brain organization rules. Analysis of her 15 most recent publications (2016-2025) reveals consistent focus on Drosophila mushroom body development, neural sexual differentiation, and spatial constraints in circuit formation. Key themes include non-deterministic mechanisms diversifying cell surface expression, chromatin dynamics in circadian regulation, and how input density tunes sensory responses. Her work integrates genomics, neuroanatomy, and behavior to model how compact genomic information generates complex neural architectures. No scientific awards were mentioned in the provided text. Dr. Clowney advises graduate students through multiple PhD programs at the University of Michigan, though specific student names and grant details are not provided in the source material. Her teaching includes foundational undergraduate coursework and advanced seminars emphasizing scientific writing. The active publication record spanning 2016-2025 indicates sustained research funding supporting her lab's investigations into neural circuit development. The Clowney Lab, housed in the Biological Sciences Building (4218 BSB), employs Drosophila genetics and neuroanatomical techniques to dissect developmental algorithms of brain wiring. Current projects explore how spatial constraints structure learning circuits, mechanisms of neural sexual differentiation, and the genomic encoding of circuit diversity. The lab collaborates within Michigan's neuroscience community through the Program in Biology and participates in interdisciplinary initiatives studying brain evolution and function.

Elizabeth J. HongView profile

Professor

• Neuroscience
• Molecular Biology
• Neurophysiology
• +3 more

Elizabeth J. Hong is a Professor of Neuroscience and Chen Scholar at the California Institute of Technology, serving as Interim Director of the T&C Chen Center for Systems Neuroscience. She holds academic appointments including Assistant Professor (2015-23), Boothe Luce Assistant Professor (2015-21), and Professor (2023–present). Her research focuses on synaptic molecular diversity and its impact on neural circuit computations, using the Drosophila olfactory system as a model. Key contributions include studies on odor-driven behaviors, synaptic physiology, and genetic manipulation strategies for circuit analysis. Education : B.S., California Institute of Technology, 2002 Ph.D., Harvard University, 2009 Research Interests : Her lab investigates how molecular differences at synapses influence physiological function and circuit-level computations. Using Drosophila's genetic toolkit, they combine in vivo electrophysiology, two-photon imaging, and behavioral assays to link synaptic properties to neural coding. Current projects explore odor representation restructuring, CO₂ sensory pathways, and the developmental basis of neural circuits. Awards : Chen Scholar (2021–present) Advisees/Grants : While specific student names aren't listed, the lab recruits trainees interested in synapse biology, neural circuits, and behavioral genetics. Techniques employed include TRACT (transneuronal transcription control) for circuit tracing and optogenetic tools for functional interrogation. Labs/Teams : The Hong Lab collaborates with the T&C Chen Center, focusing on systems-level neuroscience questions. Their work bridges molecular mechanisms with behavior, emphasizing evolutionary and developmental perspectives.

• Regulatory genomics
• Gene regulatory networks
• Computational biology
• +7 more

Stein Aerts is a full professor at the Faculty of Medicine of KU Leuven and head of the Laboratory for Computational Biology (VIB-KU Leuven). He is affiliated with multiple institutes including VIB.AI Center for AI & Computational Biology, the Leuven Brain Institute, Leuven.AI, LIMNI, LISCO, and the Leuven Cancer Institute. He also serves on the Faculty Council of Medicine and departmental boards. Research Focus: Regulatory genomics and gene regulatory networks Single-cell transcriptomics and epigenomics Deep learning for genomics and enhancer design Neurodevelopmental genomics and evolution Cancer genomics and synthetic biology Comparative genomics across species (Drosophila, octopus, mammals, birds) His recent work emphasizes using AI-driven approaches to decode enhancer logic, model cell-type-specific gene regulation, and understand brain evolution. He leads multiple large-scale projects funded through 2029–2030, including SpaceTimeOmics and enhancer-targeted glioblastoma modeling. Scientific Output: Aerts has a prolific publication record with over 15 high-impact papers in 2024–2025 alone, including in Science , Cell Genomics , Nature Reviews Bioengineering , and eLife . His work spans methodological advances (e.g., HyDrop, CREsted, GAME) and biological discoveries in enhancer function, cell-type evolution, and neurodegeneration models. Institutional Roles & Collaborations: Principal investigator in 10+ active grants (2024–2030) Founder and head of the Computational Biology Laboratory at VIB-KU Leuven Member of steering committees for HPC curriculum and bioinformatics POC Active collaborator across European and international consortia

Timothy HolyView profile

Professor

• Neuroscience
• Olfaction
• Neural Coding
• +6 more

Timothy Holy, PhD is the Alan A. & Edith L. Wolff Professor of Neuroscience and Vice Chair of Research at Washington University School of Medicine. He leads the Holy Lab, which focuses on the neural mechanisms of olfactory coding and the development of innovative imaging technologies for neuroscience research. His educational background includes a BA in Mathematics and Physics (summa cum laude) from Rice University (1991), an MA in Physics from Princeton University (1992), and a PhD in Physics from Princeton University (1997) under thesis advisor Stanislas Leibler. Dr. Holy's research spans multiple domains of neuroscience with particular emphasis on the olfactory system of mice. His lab has pioneered light sheet microscopy for calcium imaging, enabling simultaneous recording from tens of thousands of neurons. More recently, they developed PhOTseq, a technique for optically tagging neurons for later sequencing. His work bridges physics, neuroscience, and computational approaches to understand how sensory systems process information. He is also among the world's foremost creators of the Julia programming language, which has gained exponential adoption in scientific computing. Analysis of his recent publications reveals a strong focus on neural coding in decision-making circuits, olfactory processing, and the development of computational tools for biological research. His work increasingly integrates machine learning approaches with traditional neuroscience techniques. Distinguished Teaching Service Award (2005, 2008, 2014) McKnight Technological Innovation in Neuroscience Award (2007) St. Louis Academy of Sciences Innovation Award (2009) NIH Director's Pioneer Award (2009) Society for Neuroscience Research Award for Innovation in Neuroscience (RAIN) (2009) Dr. Holy has mentored numerous students and postdoctoral researchers who have gone on to establish their own research programs. His lab has secured significant grant funding supporting technology development and fundamental neuroscience research. Current projects include investigating cellular mechanisms of individuality and plasticity, navigation using olfactory cues, and developing new mathematical tools for optimization and machine learning. The Holy Lab combines a focus on understanding neural circuits and behavior with a willingness to pioneer new technologies. It maintains strong collaborations across disciplines, particularly in the development and application of the Julia programming language for biological research.

David M. SmithView profile

Professor

• Neuroscience
• Behavioral Neuroscience
• Neurobiology
• +3 more

David M. Smith is a Professor in the Department of Psychology at Cornell University, affiliated with the College of Arts and Sciences. His research focuses on neural systems underlying learning and memory in rodents, employing techniques like neuronal recording, optogenetics, and chemogenetics. He directs the Laboratory of Neurobiology of Memory and Learning, investigating how brain regions contribute to memory formation and retrieval. Academic interests include Neuroscience, Behavioral Neuroscience, and Cognitive Neuroscience. He teaches courses such as PSYCH 4230/6230 on hippocampal function and navigation, and supervises undergraduate and graduate research projects. Notable contributions include studies on retrosplenial cortex roles in spatial navigation and olfactory memory mechanisms. His work integrates experimental and computational approaches, as seen in collaborations leveraging machine learning for clinical prediction (e.g., post-surgical complications). Despite no explicitly listed awards, his research has been highlighted in Cornell’s ‘New Frontier Grants’ initiative for innovative interdisciplinary efforts.