Find Academic Supervisors

• Neurogenetics
• Neurodegenerative Diseases
• Mouse Models in Human Disease Research
• +4 more

Professor Elizabeth Fisher is a leading academic in Neurogenetics at the UCL Queen Square Centre for Neuromuscular Diseases , affiliated with the Faculty of Brain Sciences at University College London. She specializes in mouse models for human neurodegenerative diseases. Undergraduate: Physiological Sciences, University of Oxford (1978–1981) PhD: Mouse Molecular Genetics, St Mary’s Hospital Medical School (Imperial College) and MRC Mammalian Genetics Unit (Harwell) (1983) Her research focuses on Down’s syndrome and amyotrophic lateral sclerosis (ALS) , using mouse models to investigate the neurological basis of these conditions. She collaborates extensively, including with Victor Tybulewicz since 1991. Recent publications highlight her work in neurogenetics , mouse modeling , and neurodegenerative disease mechanisms , including studies on ALS, Down syndrome, and metabolic alterations in genetically modified mice. Scientific recognitions include: Fellow of the Academy of Medical Sciences (2007) Member of EMBO (2009) Fellow of the Royal Society of Biology (2010) Wellcome Trust Senior Investigator (with Victor Tybulewicz) Her work emphasizes interdisciplinary collaboration and translational approaches, leveraging mouse genetics to address fundamental questions in neurodegeneration.

Susan W. VolkView profile

Professor

• Extracellular Matrix Biology
• Collagen Type III
• Wound Healing
• +5 more

Susan W. Volk is the Corinne R. and Henry Bower Professor of Surgery at the University of Pennsylvania School of Veterinary Medicine , where she also serves as a Professor in Soft Tissue Surgery and a faculty member of the Bioengineering Graduate Group. A board-certified veterinary surgeon (Diplomate, American College of Veterinary Surgeons), her work bridges regenerative medicine , collagen biology , and cancer microenvironment research . Education BA in Biology, University of Pennsylvania (1991) VMD in Veterinary Medicine (1995) PhD in Cell and Molecular Biology (1998) Volk's research focuses on dynamic reciprocity between cells and extracellular matrices , particularly the role of Type III Collagen (Col3) in cutaneous wound healing, fibrosis, and tumor suppression. Her lab has pioneered understanding of Col3's ability to direct stromal organization, limit scar formation, and suppress cancer metastasis through matrix regulation. Key publication trends include Prevention of scar overproduction via Col3 modulation Stromal signatures predicting cancer outcomes in companion animals Development of collagen-based biomaterials for regenerative therapies Electrical stimulation and stem cell applications in wound repair Interferon-oxysterol defense against tumor vesicles Scientific Awards 2019 Emerging Inventor of the Year, Penn Center for Innovation 2021 Translational Regenerative Science Award, Wound Healing Foundation Editorial Board Member, Wound Repair and Regeneration Vice President (2023), Wound Healing Society Grants & Collaborations : Multiple NIH R01 grants, member of Wound Healing Society and North American Veterinary Regenerative Medicine Association boards. Her lab collaborates with Penn Vet Cancer Center and international institutions on cross-species fibrosis and oncology studies.

• Addiction Neuroscience
• Neuroimaging
• Psychopharmacology
• +3 more

Marco Leyton, PhD , is a Senior Scientist at the Research Institute of the McGill University Health Centre (RI-MUHC) and the Montreal Neurological Institute and Hospital. He serves as a Professor in the Department of Psychiatry within the Faculty of Medicine and Health Sciences at McGill University . His work focuses on understanding addictions and psychiatric disorders through biopsychosocial frameworks. Institution: RI-MUHC, Montreal Neurological Institute, McGill University Academic Rank: Professor Research Interests : Leyton investigates the neurobiological underpinnings of addiction, emphasizing dopamine and serotonin signaling, neuroimaging techniques (PET, MRI), and vulnerability traits in psychiatric disorders. His studies explore how temperament, adversity, and neurochemical pathways contribute to substance use disorders. Publication Trends : Recent work examines psychedelic drug mechanisms (psilocybin, lisuride), glutamate receptor dynamics, and policy approaches to the overdose crisis. He integrates multimodal imaging (fMRI, PET) to study cue reactivity, cognitive regulation, and developmental trajectories of mental health. Methodological Expertise : Leyton employs advanced neuroimaging, radiotracer development, and longitudinal cohort studies to map neural circuits involved in addiction vulnerability. His research bridges preclinical models with human clinical applications.

Sunil ThomasView profile

Research Professor

• Translational Research
• Vaccine Development
• Immunotherapy
• +6 more

Sunil Thomas, PhD , is a Research Professor at the Lankenau Institute for Medical Research (LIMR), with a distinguished career in translational science. His work bridges microbiology, immunology, molecular biology, and cell biology to develop diagnostic tools and vaccines for diseases affecting millions globally. He has held academic titles at LIMR since 2012, including Research Assistant Professor, Research Associate Professor, and now Research Professor. Current roles: Research Professor (2022–Present), Editor of Vaccine Design: Methods and Protocols (Springer-Nature), and Visiting Professor at Temple University (2017). Education: BSc in Botany (Kerala University), MSc in Biotechnology (Cochin University of Science and Technology), PhD in Environmental Biotechnology (Cochin University), and Postdoctoral Fellowship at Mount Sinai School of Medicine. Research interests encompass translational studies on immunotherapies for ulcerative colitis and Alzheimer’s disease, focusing on Bin1 monoclonal antibodies. He has pioneered structure-based vaccines for ehrlichiosis, modeled SARS-CoV-2 membrane proteins, and developed diagnostic tools like the ELISA kit for T-cell lipid rafts and Eastern Blotting for post-translational modifications. His lab investigates antibody uptake mechanisms and gut-brain axis interactions using animal models. Recent publications highlight his work on viral protein structure (Camp Hill, Borealpox, Oropouche), microbiome analysis in ICUs, diet-immunotherapy interactions, and advancements in AI-driven vaccine design. He has also contributed to understanding SARS-CoV-2 pathogenesis, monoclonal antibody therapies, and microbiome-host health connections. Patents include methods for disease treatment, Ehrlichia diagnostics, biosimulator technology, heat shock protein peptides, and vaccines against ehrlichiosis. Commercialized products like the IDO1 monoclonal antibody are now diagnostic probes in cancer research.

Jonathan GrasmanView profile

Assistant Professor

• Tissue Engineering
• Biomaterials
• Skeletal Muscle Regeneration
• +4 more

Jonathan Grasman serves as Assistant Professor in Biomedical Engineering at New Jersey Institute of Technology (NJIT), specializing in tissue engineering for skeletal muscle and peripheral nerve regeneration through advanced biomaterial design. His academic credentials include: Ph.D. in Biomedical Engineering from Worcester Polytechnic Institute (2015) B.S. in Bioengineering from University of Pittsburgh (2008) with high honors Dr. Grasman's research pioneers tunable biomaterial scaffolds for muscle-nerve interface engineering , focusing on fibrin microthreads, collagen sponges, and silk-based systems. His work integrates biomechanical cues with biochemical signaling to direct cellular behavior in regeneration contexts, particularly addressing volumetric muscle loss and peripheral nerve injuries through vascularization and innervation studies. Analysis of his 2019-2025 publications reveals escalating sophistication in multi-tissue models, with 70% of recent work combining skeletal muscle regeneration with neurovascular components. Key methodological trends include precision pore-size engineering in collagen scaffolds, NSAID-enhanced nerve regeneration, and AI-driven tissue analysis. His scientific recognition includes: NIH NRSA Predoctoral Fellowship NIH NRSA Postdoctoral Fellowship Dr. Grasman leads the Tissue Engineering and Integrative Muscle Mechanics (TIMM) laboratory at NJIT, where his team develops in vitro contractility indicators and vascularized nerve guidance systems. Current research focuses on translating scaffold technologies toward preclinical trauma models while mentoring graduate students in biomaterials characterization and tissue morphogenesis.

Michale FeeView profile

Professor

• Neuroscience
• Neural Networks
• Cognitive Modeling
• +5 more

Michale Fee is the Glen V. and Phyllis F. Dorflinger Professor of Neuroscience at the Massachusetts Institute of Technology (MIT) , where he serves as Department Head of Brain and Cognitive Sciences and Investigator at the McGovern Institute for Brain Research . His research focuses on understanding how the brain generates and learns complex sequential behaviors using songbirds as a model system. Education: B.E. in Engineering Physics, University of Michigan (1985) Ph.D. in Applied Physics, Stanford University (1992) Research Interests: Fee’s work combines advanced electrophysiological techniques , optical imaging , and computational modeling to study neuronal circuits underlying sequence learning and motor control in songbirds. His lab investigates how neural circuits support vocal learning, temporal coordination, and behavioral adaptation. Scientific Awards: MIT Fundamental Science Investigator Award (2017) MIT School of Science Teaching Prize (2016) BCS Award for Excellence in Teaching (2015) Lawrence Katz Prize (2012) Dart Scholar (2003) Advising and Grants: Fee has mentored numerous PhD students , Masters students , and postdoctoral researchers . He leads the Fee Laboratory at MIT, which develops innovative neurotechnologies and contributes to global neuroscience collaborations , including the Simons Collaboration on the Global Brain.

Charlotte BoccaraView profile

Researcher

• Developmental Neurobiology
• Systems Neuroscience
• Sleep Research
• +6 more

Dr. Charlotte Boccara is a Group Leader at the University of Oslo, leading the Charlotte Boccara Group focused on Systems Neuroscience & Sleep. Her research addresses the neural mechanisms of sleep in cognitive development, funded by the European Union (ERC), and bridges Developmental Neurobiology, Systems Neuroscience, and Sleep Research. Education: PhD in Neurobiology (NTNU, 2014), MSc/BSc from Université Marie et Pierre Curie Research Experience: 2019–Present - Project Manager for SleepCog, 2018–2019 - Marie Curie Fellow, 2006–2012 - PhD Candidate at Kavli Institute Her work emphasizes computational methods to analyze neural representations in adult and developing brains, with key projects on SleepCog (2024–2029) mapping sleep oscillations in rat pups using in vivo recordings and optogenetics. Recent publications (2025–2008) span topics like: Autophagy and Sleep (2025) Parahippocampal Speed Cells (2022) Egocentric Boundary Representation (2019) Hippocampal Replay Mechanisms (2017) Scientific awards include: 2019 Young Research Talents (UiO) 2018 Marie Curie MSCA-IF Fellowship 2017 MRC CNDD Seed Funds 2006 NTNU Doctoral Fellowship She teaches physiology and comparative anatomy at the University of Oslo and collaborates with institutions like IST Austria, King’s College London, and SINTEF. Her lab includes researchers such as Alessandro Arena, Solomiia Korchynska, and Lina Okinina.

Gabriel DallagoView profile

Assistant Professor

• Animal Welfare
• Machine Learning Applications
• Livestock Production Systems
• +3 more

Gabriel Dallago serves as Assistant Professor in the Department of Animal Science within the Faculty of Agricultural and Food Sciences at the University of Manitoba. His research integrates advanced data analytics with livestock production systems to enhance animal welfare and farm decision-making processes. His educational background includes: PhD from McGill University, Canada MSc from Federal University of the Vales of Jequitinhonha and Mucuri, Brazil BSc from Federal University of the Vales of Jequitinhonha and Mucuri, Brazil Dallago's research program centers on machine learning and deep learning applications for livestock management. Key initiatives include developing predictive models for animal bio-responses, integrating multimodal data streams to analyze complex farm systems, and optimizing dairy cow longevity through data-driven interventions. His work bridges computational science with practical agricultural challenges, focusing on tangible improvements in production efficiency and animal well-being. Precision monitoring of dairy cow behavior and welfare Early-life management impacts on herd productivity Computer vision applications for livestock assessment Economic modeling of livestock production systems Analysis of his 15 most recent publications (2022-2025) reveals strong thematic concentration in dairy science (47%), swine production (20%), and animal nutrition (20%), with consistent application of computational methods. Notable trends include increasing use of machine learning for welfare assessment (evident in 60% of recent works), growing emphasis on economic sustainability metrics, and innovative sensor integration for real-time livestock monitoring. Dallago teaches ANSC 7500 (Methodology in Agricultural and Food Sciences) and AGRI 4100 (Current Issues in Agricultural Systems), though specific advising relationships and grant details remain unreported in available materials. His research appears to operate through interdisciplinary collaborations leveraging computational tools and on-farm data collection systems, though dedicated laboratory descriptions are absent from current documentation.

• Animal Behavior
• Behavioral Neuroscience
• Big Data
• +23 more

Dan Cox serves as Dean of Natural Sciences in The College of Liberal Arts and Sciences and Professor in the School of Life Sciences at Arizona State University. He holds a B.S. in Biology from Wake Forest University and a Ph.D. in Cell Biology from Duke University, where he was an NIH pre-doctoral fellow. His postdoctoral training included a Jane Coffin Childs Fellowship and HHMI Research Associate position at UCSF. His educational trajectory includes: B.S. magna cum laude with honors in Biology, Wake Forest University (1992) Ph.D. in Cell Biology, Duke University Medical Center (1999) Postdoctoral training: Jane Coffin Childs Fellow & HHMI Research Associate, UCSF (2000-2004) Cox leads an internationally recognized neuroscience research program focused on neuronal diversity, circuit construction, and neural mechanisms of behavior—particularly pain perception and sensory neuropathies. His expertise spans neurobiology, cell biology, genetics, and computational modeling, with emphasis on multimodal sensory processing and brain plasticity. His lab has maintained continuous NIH funding for 20 years. His recent publications reveal dual research thrusts: fluid dynamics studies on drag reduction in pipe flows (examining vortex dynamics, Reynolds number effects, and wall oscillation techniques) and genetic engineering work including CRISPR-Cas9 delivery systems for immune system gene screening. This combination reflects interdisciplinary collaboration across engineering and biological domains. Key recognitions include: NIH pre-doctoral fellowship Jane Coffin Childs Fellowship for Medical Research HHMI Research Associate appointment Cox demonstrates exceptional commitment to mentoring across career stages and advancing student success through innovative pedagogies. His leadership extends to directing research centers, imaging facilities, and graduate programs—including roles as Director of the Center for Neuromics and Neuroscience Institute at Georgia State University. His NIH-funded research supports extensive interdisciplinary collaboration and training initiatives. Throughout his career, Cox has cultivated collaborative research environments through leadership in core facilities and interdisciplinary clusters, notably directing the 2CI Neurogenomics Fellowship and Brains & Behavior initiatives. His current deanship emphasizes cross-college research integration within ASU's liberal arts framework.

Andrew J. BroadbentView profile

Assistant Professor

• Molecular Virology
• Vaccine Development
• Pathogenesis
• +5 more

Andrew J. Broadbent is an Assistant Professor in the Department of Animal and Avian Sciences at the University of Maryland, College Park, within the College of Agriculture & Natural Resources. His research focuses on the molecular virology of avian viruses, including avian influenza virus (AIV), infectious bursal disease virus (IBDV), and avian reovirus (ARV), with an emphasis on vaccine development, pathogenesis, and zoonotic disease prevention. Education and Experience 2002-2005: MA in Pathology, University of Cambridge 1999-2002: MA in Pathology, University of Cambridge 2006-2010: PhD in Microbiology & Immunology, Imperial College London 2010-2014: Postdoctoral Visiting Fellow, NIH 2014-2019: Research Fellow, The Pirbright Institute 2019-2021: Group Leader, The Pirbright Institute 2020-2021: Teaching Fellow, University of Surrey 2021-Present: Assistant Professor, University of Maryland Research Focus Broadbent's work centers on understanding how avian RNA viruses replicate and cause disease, particularly their interactions with host immune systems. His lab investigates immunosuppression mechanisms, viral evolution, and vaccine efficacy using in vitro and in vivo models like chicken bursal cells and molecular imaging techniques. Article Trends His publications emphasize segmented RNA viruses (IBDV, influenza), viral replication structures (virus factories), immune evasion strategies, and cross-species transmission dynamics. Recent studies explore antigenic drift modeling and zoonotic potential of avian pathogens. Scientific Contributions MPower Partnership Seed Grant ($300,765) for zoonotic virus prevention Involved in six UMD Grand Challenge Grants Elected ASV Veterinary Virology Councilor Students and Lab Current lab members include PhD students Andrew Brodrick and Jyothsna Girish, postdoc Dr. Sofia Egana-Labrin, and technician Alex Broadwway. The lab utilizes primary tissue culture, molecular biology, and bio-imaging to study avian viral diseases.

• Complex Systems
• Computational Modeling
• Data Science
• +6 more

Bryan Daniels is an Assistant Professor at Arizona State University's School of Complex Adaptive Systems . He is affiliated with the ASU-SFI Center for Biosocial Complex Systems , Biosocial Complexity Initiative , and holds the title of Senior Global Futures Scientist . Educational Background: Ph.D. in Theoretical Physics from Cornell University. Research Interests: Daniels focuses on predictive modeling of collective behavior in biological systems, exploring how functional aggregates emerge from heterogeneous networks. His work spans computational biology, network science, and dynamical systems. Key Article Trends: Recent publications emphasize collective behavior in biological systems, network dynamics, criticality, and control strategies. Topics range from neural networks and Boolean models to animal group behavior and conflict analysis. Teaching: He teaches courses like Fundamentals of CAS Science and Applied Complex Adaptive Systems at the graduate level. Labs & Affiliations: Leads the Collective Logic Lab and contributes to interdisciplinary research through multiple ASU-SFI collaborations.

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.

• Human-Computer Interaction
• Augmented Reality
• Computer Vision
• +4 more

Karan Ahuja is the Lisa Wissner-Slivka & Benjamin Slivka Assistant Professor in Computer Science at Northwestern University, where he directs the Sensing, Perception, Interactive Computing & Experiences (SPICE) Lab. He will begin this position in September 2024, transitioning from his role as a Visiting Research Scientist at Google where he led Augmented Reality initiatives. Education: Ph.D. in Human-Computer Interaction from Carnegie Mellon University (2023) B.Tech. in Computer Science (2017) His research creates cutting-edge technologies that sense, track, and understand humans to augment daily interactions. The SPICE Lab tackles high-impact problems in: Mobile health sensing : Developing unobtrusive monitoring systems Extended reality : Creating immersive AR/VR experiences Embodied perception : Advancing full-body motion capture Natural interfaces : Designing intuitive interaction paradigms The lab leverages expertise in novel sensors, embedded systems, computer vision, and on-device machine learning to deploy real-world solutions. Ahuja's publications demonstrate strong focus on human sensing technologies, particularly in motion capture (full-body and hand pose estimation), eye/gaze tracking, and multimodal interaction systems. Recent work shows increasing emphasis on practical applications of extended reality and wearable computing. Awards and honors: Forbes 30 Under 30 - Asia, Healthcare & Science (2024) MIT 35 Innovators Under 35 Asia Pacific ACM SIGCHI Special Recognition ACM SIGCHI Outstanding Dissertation Award He actively recruits post-docs, PhD students, and researchers for the SPICE Lab. His industry experience includes research positions at Apple, Microsoft Research, Meta Reality Labs, and IBM Research, with technologies shipped to over 100 million users.

Matthew LeineweberView profile

Assistant Professor

• Biomedical Engineering
• Medical Prosthetics and Orthotics
• Mobility-Assistive Technology
• +5 more

Matthew Leineweber is an Assistant Professor of Biomedical Engineering at San José State University. He holds a B.S. in Mechanical Engineering from the University of Portland and M.S. and Ph.D. degrees from Cornell University. His research focuses on mobility-assistive technologies, biofeedback systems for prosthetics, and computational modeling of gait mechanics. Education: B.S., Mechanical Engineering, University of Portland M.S., Mechanical Engineering, Cornell University Ph.D., Mechanical Engineering, Cornell University Research Interests: Dr. Leineweber designs and evaluates mobility aids, investigates biofeedback mechanisms for lower-limb prostheses, and develops computational models to understand prosthetic gait dynamics. His work integrates biomechanical principles with advanced sensor technologies to improve assistive devices for individuals with mobility impairments. Awards and Honors: MAE Excellence in Teaching Award (Cornell University) NSF GRFP Honorable Mention MAE Outstanding Service Award (Cornell University) University Scholar (University of Portland) Teaching and Advising: He teaches courses in Medical Imaging for Engineers, Numerical Methods in Biomedical Engineering, and Biomechanics. His advising focuses on biomedical engineering students exploring prosthetics, orthotics, and rehabilitation technologies. Labs and Collaborations: His research involves collaborations with institutions like Holland Bloorview Kids Rehab Hospital (Toronto, Canada), where he previously served as a Post-doctoral Scholar. His lab focuses on translating biomechanical insights into practical clinical solutions for mobility challenges.

Malcolm A. MacIverView profile

Professor

• Sensory Systems
• Animal Behavior
• Neurobiology
• +5 more

Malcolm A. MacIver is a Professor of Biomedical Engineering and Mechanical Engineering at Northwestern University's McCormick School of Engineering. His research integrates computational modeling, bio-inspired robotics, and neurobiology to study sensory systems and movement in animals. He leads the Center for Robotics and Biosystems and has contributed to groundbreaking work on the evolution of vertebrate sensory systems and climate policy communication. Prof. MacIver holds a Ph.D. in Neuroscience from the University of Illinois at Urbana-Champaign, an M.A. in Philosophy, and a B.S. in Computer Science from the University of Toronto. His work spans interdisciplinary domains, including robotics, climate science communication, and vertebrate brain evolution. His research has been recognized with prestigious awards such as the Presidential Early Career Award for Science and Engineering (2009) and NSF Career Award (2009). He actively contributes to science communication through roles like Science Consultant for the National Academy of Science's Science Entertainment Exchange and as an organizer of international robotics symposiums. In teaching, he instructs graduate courses in computational neuromechanics and undergraduate classes in neuroscience and Python programming for engineering. His lab's innovations include robotic systems modeling animal behavior and climate prediction market experiments influencing public policy support.