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Marcia O'MalleyView profile

Professor

• Haptics
• Robotics
• Biomechanics
• +5 more

Marcia O’Malley is the Thomas Michael Panos Family Professor in Mechanical Engineering, Computer Science, Electrical and Computer Engineering, and Bioengineering at Rice University’s George R. Brown School of Engineering. She chairs the Department of Mechanical Engineering and directs the Mechatronics and Haptic Interfaces (MAHI) Lab. Her research focuses on haptics and robotic rehabilitation, particularly wearable robotic systems for training and rehabilitation in virtual environments. She holds adjunct roles at Baylor College of Medicine and the University of Texas Medical School. Educated at Purdue University (B.S., 1996) and Vanderbilt University (M.S./Ph.D., 1999/2001), Dr. O’Malley has been recognized with prestigious awards, including the ONR Young Investigator Award, NSF CAREER Award, and multiple fellowships. She has twice won Rice’s George R. Brown Award for Superior Teaching. Her work bridges engineering and medicine, addressing human-robot interaction challenges in surgical training, workforce safety, and neurorehabilitation. The MAHI Lab develops devices like the hBracelet and Rice Haptic Rocker to enhance human-robot collaboration. She co-founded Houston Medical Robotics, Inc., applying her innovations to real-world medical applications. Research Interests: Haptics, wearable robotics, neural interfaces, surgical training metrics, and rehabilitation robotics. Labs/Teams: MAHI Lab (Biosciences Research Collaborative), collaborations with medical institutions. Grants/Awards: Extensive funding from NSF, ONR, and industry partnerships; leadership in editorial roles for IEEE Transactions on Haptics.

Frank L. Hammond IIIView profile

Assistant Professor

• Adaptive Robotic Manipulation
• Soft Robotics
• Wearable Robotics
• +5 more

Frank L. Hammond III serves as Assistant Professor at Georgia Tech's Woodruff School of Mechanical Engineering since April 2015, directing the Adaptation Robotic Manipulation (ARM) Laboratory. A Carnegie Mellon PhD graduate, he previously held postdoctoral positions at MIT and Harvard as a Ford Fellow. His interdisciplinary work bridges mechanical engineering, biomedical applications, and computational design. Education Ph.D. in Mechanical Engineering, Carnegie Mellon University M.S. in Mechanical Engineering, University of Pennsylvania M.S. in Electrical Engineering, University of Pennsylvania B.S. in Electrical Engineering & Biomedical Engineering, Drexel University Hammond's research pioneers adaptive robotic manipulation (ARM) systems that operate in unstructured human environments through bioinspired computational design. His lab develops xenomorphic (non-biomorphic) robots using soft pneumatic actuation, flexible electronics, and machine learning to achieve biological-level versatility. Key application domains include wearable human augmentation devices , haptic-enabled surgical teleoperation , and autonomous soft platforms for medical and industrial use. The ARM methodology integrates empirical biomechanics characterization with simulation-driven optimization and rapid prototyping. Analysis of his 15 most recent publications (2023-2025) reveals three dominant trends: (1) Medical rehabilitation breakthroughs through intention-driven exoskeletons with soft bioelectronics, (2) Novel locomotion strategies for soft robots in complex environments (sand, water, cluttered spaces), and (3) Advanced haptic feedback systems leveraging multimodal sensory substitution for proprioceptive restoration. These works consistently bridge biomechanics, control theory, and human factors. Awards Ford Postdoctoral Research Fellowship at Harvard School of Engineering Hammond actively mentors graduate researchers including PhD candidates Lucas Tiziani (soft actuators) and Bangyuan Liu (earthworm robotics), and Master's student Alex Hart (pediatric haptics). His lab secures research funding for projects like tunable mechanical interfaces for neuropathy treatment and cognition-focused wearable devices, with strong industry and clinical partnerships evident in co-authored medical device publications. The ARM Lab maintains robust collaborations across Georgia Tech's robotics, neuroscience, and biomedical engineering communities. The Adaptation Robotic Manipulation Laboratory operates from Whitaker Building Room 4102, housing specialized facilities for soft robot fabrication (3D printing, shape deposition manufacturing) and biomechanics testing. Current projects include pediatric haptic feedback displays, biomimetic swimming robots, and kirigami-skinned earthworm robots for subsurface locomotion. The lab emphasizes translational research with multiple pending medical device patents and active participation in K-12 STEM outreach programs.

Daniel RedwoodView profile

Professor

• Nutrition
• Functional Medicine
• Chiropractic
• +3 more

Daniel Redwood serves as Director of the MS in Nutrition & Functional Medicine at the University of Western States (UWS), a leading institution in integrated health care. With 25 years of clinical chiropractic experience emphasizing nutrition and acupuncture, he previously held a professorship at Cleveland Chiropractic College - Kansas City where he supervised student interns and taught clinical nutrition. His educational background includes: BA in English, State University of New York at Buffalo Doctor of Chiropractic, Palmer College of Chiropractic Dr. Redwood's research focuses on the integration of nutrition and functional medicine within chiropractic practice, advocating for evidence-based holistic models that prioritize prevention and self-care. His work bridges conventional and complementary medicine through clinical applications in pain management, chronic disease prevention, and lifestyle interventions. His scholarly output demonstrates a clear evolution from foundational chiropractic principles toward integrative approaches, with increasing emphasis on evidence-based nutrition protocols and interdisciplinary collaboration in health care delivery systems. Key recognitions include: Educator of the Year (Missouri State Chiropractic Association) Six-time Virginia Chiropractic Association Literary Award winner As an educator and academic leader, he has shaped curriculum development through editorial roles including founding editor of The Journal of Alternative and Complementary Medicine and current associate editor of Topics in Integrative Healthcare. His consulting work with WebMD and Integrative Medicine Consult extends his influence into digital health platforms. Dr. Redwood actively builds bridges between medical disciplines through his leadership at UWS and participation in the Research Agenda Conference (RAC), positioning functional medicine as central to the future of integrated health care systems.

• Robotics
• Artificial Intelligence
• Robotic Manipulation of Deformable Objects
• +7 more

Carme Torras Genís is a Research Professor at the Spanish National Research Council (CSIC), affiliated with the Institute of Robotics and Industrial Informatics (IRI) in Barcelona and the Technical University of Catalonia (UPC). Her career spans over three decades, focusing on robotics, neurocomputing, and artificial intelligence with applications in healthcare and deformable object manipulation. M.Sc. in Mathematics (University of Barcelona, 1978) M.Sc. in Computer Science (University of Massachusetts, 11981) Ph.D. in Computer Science (UPC, 1984) Research Interests : Robotic manipulation of deformable objects (especially textiles) Neurocomputing and machine learning for robotic control Human-robot interaction and assistive robotics Computational topology for cloth state representation Ethics in social robotics and AI Medical applications of robotics for neuromuscular disease assessment Scientific Leadership : ERC Advanced Grant recipient (2016) IEEE and EurAI Fellow Coordinator of Horizon Europe project SoftEnable and former ERC project CLOTHILDE Editorial leadership in IEEE Transactions on Robotics and multiple journals Active in ethics committees and AI policy advisory boards Advisory Committee of Ethics in AI (Catalan Government) Vice-President of CSIC Ethics Committee Member of Royal Academy of Engineering (Spain)

Cooper HarshbargerView profile

Lecturer

• Biomechanics
• Medical Technology
• Acoustofluidics
• +3 more

Dr. Cooper Harshbarger is a Lecturer at the Department of Health Sciences and Technology at ETH Zurich , Switzerland. His research bridges biomechanics and acoustofluidics, focusing on spinal surgery and microscale cell manipulation technologies. Email: cooper.harshbarger@hest.ethz.ch Research Interests : Dr. Harshbarger specializes in biomechanical analysis of spinal structures and acoustofluidic device development . His work explores: Biomechanics of the lumbar spine and osteoligamentous complexes Acoustically-driven microfluidic systems for medical diagnostics Cell focusing/trapping technologies using sharp-edge acoustofluidics Scientific Contributions : Recent publications highlight his dual expertise in spinal fusion biomechanics and microscale fluid control , with applications in cancer diagnostics and cell manipulation. Key technologies include BAW-based systems and programmable acoustofluidic chips.

Matei CiocarlieView profile

Associate Professor

• Robotic Manipulation
• Assistive Robotics
• Human-Robot Interaction
• +5 more

Matei Ciocarlie is an Associate Professor of Mechanical Engineering at Columbia University, focusing on robotics research spanning hardware design, control systems, and human-robot interaction. His work emphasizes robots operating in dynamic, unstructured environments, with applications in manufacturing, logistics, and healthcare. He holds affiliations with Columbia's School of Engineering and Applied Science and the Robotics Department. Education: Ph.D. in Mechanical Engineering from Columbia University (2010), with a doctoral dissertation on dexterous robotic grasping awarded the 2010 Robotdalen Scientific Award. Research Interests: Robotic hand design/control, human-in-the-loop manipulation, assistive robotics, tactile sensing, and rehabilitation technologies. His lab develops systems like wearable robotic orthoses for stroke patients and teleoperated robots with autonomous decision-making capabilities. Awards: IEEE Early Career Award (2015), ONR Young Investigator Award (2016), NSF CAREER Award (2016), Sloan Fellowship (2017). Grants & Collaborations: Led projects at Willow Garage and Google, contributing to ROS development. Current work includes NSF-funded tactile sensing research and NIH-sponsored assistive robotics initiatives. Labs: Active projects in Columbia's Robotics Lab and collaboration with medical institutions for clinical trials of robotic orthoses.

Chen RanView profile

Assistant Professor

• Interoceptive Processing
• Neurophysiology
• Brainstem Function
• +5 more

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.

• Biomedical Engineering
• Neurorehabilitation Technology
• Biomedical Signal Processing
• +12 more

Professor Dario Farina is Chair in Neurorehabilitation Engineering at the Department of Bioengineering, Faculty of Engineering, Imperial College London. He has previously served as Full Professor at Aalborg University, Denmark, and at the University Medical Center Göttingen, Germany, where he founded and directed the Institute of Neurorehabilitation Systems. His research spans biomedical signal processing, neural control of movement, and neurorehabilitation technology, with extensive contributions to electromyography, motor unit analysis, and neural interfaces. Chair in Neurorehabilitation Engineering, Imperial College London Former Full Professor, Aalborg University and University Medical Center Göttingen Founder and Director, Institute of Neurorehabilitation Systems Key Affiliations: Centre for Neurotechnology, Artificial Intelligence Network, Robotics Forum, Neuromechanics and Rehabilitation Technology His research focuses on biomedical signal processing , neural control of movement , and neurorehabilitation technology . He investigates how neural signals control muscles, develops methods to decode motor unit activity from EMG, and designs neural interfaces for prosthetics and rehabilitation. His work integrates computational modeling, signal processing, and clinical applications to improve bionic systems and neurorehabilitation outcomes. The recent publications (2024–2025) show a strong emphasis on high-density EMG , real-time motor unit decomposition , peripheral and cortical neural interfacing , closed-loop control systems , and AI-driven biosignal analysis . Key themes include decoding spinal and cortical signals, improving prosthetic control, understanding tremor mechanisms, and developing open-source tools for motor unit analysis. The work bridges neuroscience, engineering, and clinical practice. Scientific awards and honors include: Royal Society Wolfson Research Merit Award (2016) IEEE EMBS Early Career Achievement Award (2010) Nightingale Prize for best paper in MBEC (2007) Elected Fellow of EAMBES (2016) Elected Fellow of AIMBE (2012) Professor Farina has advised numerous researchers and students in neuroengineering and rehabilitation technology. He has led major research grants in neural interfaces and neurorehabilitation. He is Editor-in-Chief of the Journal of Electromyography and Kinesiology , an editor for IEEE Transactions on Biomedical Engineering and The Journal of Physiology , and has held editorial roles in multiple journals. He was President of ISEK (2012–2014) and is a Senior Member of IEEE. He leads a research group focused on neuromechanics, neural decoding, and bionic systems. The team develops tools like I-Spin live and MUedit for real-time motor unit identification and contributes to open-source platforms such as NeuroMotion . The lab collaborates internationally on projects involving spinal cord stimulation, prosthetic control, and wearable robotics, aiming to translate neural engineering advances into clinical rehabilitation.

Silvia ArberView profile

Professor

• Molecular and cellular mechanisms of neuronal differentiation
• Neuronal circuit development and connectivity
• Motor system development and function
• +7 more

Silvia Arber holds a joint appointment as Full Professor for Neurobiology/Cell Biology at the Biozentrum, University of Basel, and serves as Senior Group Leader at the Friedrich Miescher Institute (FMI) in Basel, Switzerland. Her laboratory investigates the organization, function, and development of neuronal circuits controlling motor behavior, with a particular focus on how these circuits enable precise movement control. Arber obtained her PhD in 1996 from the Friedrich Miescher Institute under Pico Caroni, followed by postdoctoral training with Thomas Jessell at Columbia University (1996-2000), where she studied transcription factors in spinal cord neuronal differentiation. Her educational background includes Biology II studies at the Biozentrum of the University of Basel with graduation in Cell Biology (1987), a diploma thesis at the FMI (1990), and graduate work at the FMI (1992). Her research program centers on elucidating how neuronal circuits orchestrate accurate motor behavior in response to sensory cues and voluntary movement initiation. Using mouse as a model system, her laboratory employs multi-faceted approaches including advanced mouse genetics, viral technologies for transsynaptic circuit tracing, optogenetics and pharmacogenetics for functional manipulation, quantitative behavioral analysis, electrophysiology, and gene expression profiling. Her work has revealed precise synaptic interactions within dedicated motor circuit modules throughout the nervous system and how these impact function, with implications for understanding diseases causing motor deficits and spinal cord injury. Analysis of Arber's publication record shows a consistent focus on motor circuit organization, with particular emphasis on transcriptional control mechanisms, circuit connectivity mapping, and the relationship between developmental processes and functional circuit organization. Her work bridges molecular, cellular, and systems neuroscience, providing fundamental insights into how the nervous system controls movement. The Brain Prize (2022) Elected to the National Academy of Sciences of the United States (2020) Physiological Society Annual Review Prize Lecture (2019) Pradel Research Award (2018) W. Alden Spencer Award (2018) Louis-Jeantet Prize for Medicine (2017) ERC Advanced Grant (2010-2015) EMBO Member (2005) EMBO Young Investigator Award (2001) While specific students are not listed in the provided materials, Arber's laboratory has received significant research funding including an ERC Advanced Grant (2010-2015) and multiple prestigious awards supporting her research program. Her laboratory at the Biozentrum (Room 11.038) collaborates closely with the Friedrich Miescher Institute, where she serves as Senior Group Leader. The research group employs cutting-edge technologies for neural circuit analysis and has contributed fundamental insights into motor circuit organization, with implications for understanding and potentially treating movement disorders and spinal cord injuries.

David W. EvansView profile

Assistant Professor

• Musculoskeletal Pain
• Low Back Pain
• Pain Measurement and Disability
• +7 more

Dr David W. Evans is an Assistant Professor in Musculoskeletal Health Care at the School of Sport, Exercise and Rehabilitation Sciences, University of Birmingham, where he has been a faculty member since 2017. He serves as Programme Lead for the MSc Physiotherapy (pre-registration) programme and teaches across multiple physiotherapy degrees including MSci and MSc programmes. Education: PhD in Low Back Pain, Keele University (2007) BSc (Hons) in Osteopathy, Health Sciences University (formerly British School of Osteopathy), London (1998) His research focuses on understanding and measuring disabling musculoskeletal pain, particularly low back pain, with an emphasis on improving patient outcomes through better treatment matching. His work spans pain mechanisms, measurement of disability, and the effectiveness of physical interventions. He has maintained a clinical practice in musculoskeletal health since 1998. Dr Evans's recent publications (2022–2025) reflect a strong trend in quantitative and clinical research, utilizing wearable technology for lumbar mobility assessment, analyzing pain drawings and spatial pain patterns, and investigating psychological factors such as fear of movement. His work integrates biomechanics, neuroscience, and clinical rehabilitation, often through large-scale studies and systematic reviews. He has also contributed to advancing definitions and educational approaches in manual therapy. Professional Memberships and Roles: Member, Society for Back Pain Research (since 2001) Lead, Pain-focused PPIE Group (since 2021) Member, University of Birmingham REDCap Committee (since 2022) Dr Evans has secured over £2 million in research funding as lead or co-applicant and has published over 50 peer-reviewed papers. He is actively involved in research leadership and has contributed to major clinical trial protocols and systematic reviews in pain and rehabilitation. He is affiliated with research platforms including ORCID, Google Scholar, and ResearchGate, and his work is supported by institutional and national research infrastructures. He coaches javelin throwing at a local athletics club, reflecting a personal commitment to physical activity and sports.

• Physiotherapy
• Rehabilitation
• Musculoskeletal Disorders
• +5 more

Professor Banu Bayar is a distinguished faculty member at Muğla Sıtkı Koçman University's Faculty of Health Sciences, Department of Physiotherapy and Rehabilitation with specialization in Musculoskeletal Rehabilitation. With over two decades of academic and clinical experience, she has established herself as a leading researcher in physical therapy and rehabilitation sciences. Education: Bachelor's Degree: Hacettepe University - School of Physical Therapy and Rehabilitation (1990-1994) Master's Degree: Hacettepe University - Institute of Health Sciences - Physical Therapy and Rehabilitation (MSc) (1996-1998) Doctorate: Hacettepe University - Institute of Health Sciences - Physical Therapy and Rehabilitation (1998-2002) Professor Bayar's research spans multiple critical areas in rehabilitation science, with particular emphasis on stroke rehabilitation, musculoskeletal disorders, pain management, and geriatric rehabilitation. Her work integrates clinical practice with scientific research to develop evidence-based rehabilitation protocols. She has extensively studied proprioception, balance disorders, and functional recovery in neurological conditions, contributing significantly to the understanding of how physical interventions can improve patient outcomes. Her publication record demonstrates consistent scholarly output with a notable increase in high-impact research in recent years. The trend shows a strategic focus on developing assessment tools, validating measurement instruments, and investigating innovative rehabilitation techniques. Her work bridges clinical practice and scientific validation, with particular attention to culturally adapted assessment tools for the Turkish population. Recent publications reveal growing interest in technology-assisted rehabilitation, cognitive-motor interactions, and the psychological aspects of chronic conditions. Professor Bayar has served as an editor for multiple journals including the Journal of Karya Health Science (2020-2022) and has contributed to numerous book chapters on physiotherapy and rehabilitation. Her collaborative research approach is evident in her extensive co-authorship network, working with colleagues across various institutions to advance rehabilitation science. While specific grant information isn't detailed in the available records, her sustained publication output suggests successful research funding throughout her career.

• Ocean Renewable Energy
• Robotics
• Biomechanics
• +2 more

Dr. Boyin Ding is an Associate Professor at the University of Adelaide , serving as Academic Director at Haide College and researcher in the Mechanical Engineering department within the Faculty of Sciences, Engineering and Technology. He leads the Wave Energy Research initiative established in 2014, while also contributing to Robotics and Biomechanics through his work with the Flinders Medical Device Research Institute. Research Areas: Ocean Wave Energy Harvesting Control Systems for Renewable Energy 6DOF Robotic Testing Spine Biomechanics Transnational Education Programs Key Collaborations: Australia-China Joint Research Centre for Offshore Wind & Wave Energy Acoustics, Vibration and Control Research Group Scientific Awards: Australian Endeavour Fellowship Malcolm Kinnaird Engineering Excellence Award (2012) His recent publications focus on hybrid offshore energy systems, nonlinear hydrodynamics in wave energy converters, and biomechanical testing technologies. He has developed control algorithms for floating offshore wind-wave systems and pioneered 6DOF robotic platforms for medical applications. As an eligible PhD supervisor, he actively collaborates with global industries and academic institutions.

• Bioelectronics
• Neural Interfaces
• Neuroprosthetics
• +5 more

Polina O. Anikeeva is a Professor of Materials Science and Engineering and Associate Director of the Research Laboratory of Electronics (RLE) at MIT. She leads the Bioelectronics Group, focusing on developing minimally invasive neural interfaces and neuroprosthetics using advanced materials. Her work integrates materials chemistry, nanotechnology, and microfabrication to enhance biocompatibility and signal quality in neural devices for conditions like Parkinson’s disease and major depressive disorder. Education: Bachelor of Science in Physics, St. Petersburg State Polytechnic University (2003) PhD in Materials Science, MIT (2009) Postdoctoral Fellowship in Bioengineering, Stanford University Her research emphasizes hybrid organic-inorganic materials and optoelectronic systems for neural recording/stimulation. Key innovations include magnetically actuated sensors, wireless neuromodulation, and flexible optoelectronic fibers. Notable achievements include the NIH Director’s Pioneer Award (2021) and collaborations with the Fashion Institute of Technology on smart textiles. Lab Focus: Bioelectronics Group at RLE develops next-generation neural interfaces, with applications in brain-machine interfaces and paralysis treatment. Recent advances include magnetoelectric nanodiscs for transgene-free neuromodulation and remotely controlled chemomagnetic neural circuits.

Sheng SangView profile

Assistant Professor

• Mechanical Engineering
• Biomedical Engineering
• Machine Learning
• +7 more

Sheng Sang is an Assistant Professor in the Department of Engineering Sciences at Bethany Lutheran College. His research lies at the intersection of Mechanical Engineering and Biomedical Engineering, with a strong emphasis on machine learning applications in composite materials and elastic metamaterials. His research interests include: Mechanical & Biomedical Engineering Machine Learning on Composites Elastic Metamaterials and Composites Optimization of Medical Devices Finite Element Modeling and Simulation Dr. Sang's recent publications demonstrate a consistent focus on integrating deep learning techniques with mechanical systems, particularly in predicting composite microstructures, tracking particles in complex systems, and optimizing wave propagation in metamaterials. His work frequently employs 3D CNNs and other neural architectures to solve inverse problems in material science. Scientific awards and recognition include: Dr. Lehtola Fellowship Research Grant ($9,000, PI), 2021–2023 Graco Engineering Lab Development Grant ($60,000), 2020–2022 He has been actively involved in teaching a wide range of engineering courses such as Fluid Mechanics, Solid Mechanics, Thermodynamics, and Computer-Aided Design. His research is supported by external grants, indicating active supervision and project leadership. Dr. Sang has collaborated with researchers across disciplines, including neuroscience and medical imaging, particularly in studies involving deep brain stimulation and fMRI. He is affiliated with research teams working on: Active elastic metamaterials design Machine learning for material characterization Optimization of biomedical devices using swarm intelligence Development of advanced simulation tools for composite systems

Minoru KoyamaView profile

Assistant Professor

• Neurobiology
• Developmental Biology
• Animal Biology
• +4 more

Minoru Koyama is an Assistant Professor in the Department of Cell & Systems Biology at the University of Toronto Scarborough (UTSC). His research focuses on understanding the neural circuit mechanisms underlying behavioral development, particularly in zebrafish models. He employs advanced techniques such as optogenetics, voltage imaging, and CRISPR-based methods to study circuit maturation in the hindbrain and spinal cord. Education: Koyama holds a Ph.D. (2006), M.Sc. (2002), and B.Sc. (2000) in Biological Sciences from the University of Tokyo. Research Interests: His work investigates how neural circuits mature post-birth and contribute to complex behaviors, with applications to developmental brain disorders. His lab uses zebrafish as a model system, combining optics, genetics, and machine learning for behavioral analysis. Key projects include studying motor coordination development and refining imaging techniques like multi-plane microscopy and voltage indicators. Publications Highlight: Koyama’s recent work includes innovations in microscopy (e.g., HiLo speckle illumination) and genetic tools (e.g., TEMPO lineage tracing). These advancements enable precise observation of neural circuits and cellular dynamics. Lab & Recruitment: The Koyama Lab actively recruits graduate students and postdoctoral researchers. No specific grants are detailed, but his work reflects broad interdisciplinary collaborations in neuroscience and biotechnology. Labs/Teams: His lab focuses on developmental neurobiology, leveraging cutting-edge imaging and genetic engineering to explore neural circuit function across vertebrate development.