جست‌وجوی استاد و پژوهشگر

• Cancer Biology
• Mathematical and Computational Modeling
• Bioinformatics
• +۷ مورد دیگر

Dana Pe'er is a Professor and Chair of the Computational and Systems Biology Program at the Sloan Kettering Institute (SKI) of Memorial Sloan Kettering Cancer Center. She is also an Investigator of the Howard Hughes Medical Institute and holds the Alan and Sandra Gerry Endowed Chair. Dr. Pe'er leads an interdisciplinary research group that combines advanced genomics approaches with machine learning to address fundamental questions in biomedical science, with particular focus on cancer biology, developmental biology, and immunology. Dr. Pe'er earned her PhD from Hebrew University in Jerusalem, Israel. Her academic journey includes a postdoctoral fellowship with George Church at Harvard Medical School. Before joining Memorial Sloan Kettering Cancer Center in 2016, she held faculty positions at Columbia University. Dr. Pe'er's research focuses on understanding cellular plasticity, the consequences of intra-tumor heterogeneity, cancer evolution and metastasis, and the mechanisms by which regulatory circuits go awry in disease. Her lab combines single-cell and spatial profiling technologies with machine learning approaches to investigate gene regulation, cellular plasticity, and cell-cell communication in the contexts of cancer, immunity, and development. They are particularly interested in how organisms develop from a single cell to generate diverse cell types, how epigenetic control rewires during development, and how cells communicate to execute multicellular responses. Analysis of Dr. Pe'er's recent publications reveals a strong focus on developing computational methods for single-cell and spatial genomics data analysis. Her work spans cancer types including pancreatic, prostate, colorectal, and breast cancer, with emphasis on tumor heterogeneity, metastasis mechanisms, and cellular plasticity. A significant portion of her research involves creating novel algorithms and tools like CellRank, REUNION, and SEACells that enable researchers to extract meaningful biological insights from complex genomic datasets. 2023 Class of 2023 Inductee - American Academy of Cancer Research (AACR) Academy 2023 Innovator Award - International Society for Computational Biology (ISCB) 2021 Fellow - International Society for Computational Biology (ISCB) Howard Hughes Medical Institute Investigator (2021) 2019 Ernst W. Bertner Memorial Award - University of Texas MD Anderson Cancer Center 2016 Lenfest Distinguished Faculty Award - Columbia University 2014 Director's Pioneer Award - National Institutes of Health 2014 Overton Prize - International Society for Computational Biology (ISCB) Dr. Pe'er is known for her dedicated mentorship approach, describing herself as "a mama bear" who cares deeply about her trainees while expecting independence, innovation, and hard work. She mentors numerous PhD students and postdocs in her lab. Her HHMI Investigator award provides approximately $9 million over seven years, enabling ambitious research directions. She also collaborates extensively with the Single-cell Analytics and Innovation Lab (SAIL) at MSK to generate new data from emerging technologies, working closely with wet-lab collaborators at MSK and beyond to apply computational methods to cutting-edge datasets across multiple disease areas. The Pe'er Lab is an interdisciplinary group of computational biologists with diverse backgrounds ranging from pure mathematics to clinical medicine. They work closely with wet-lab collaborators to apply their computational methods to cutting-edge datasets across cancer, immunology, and developmental biology. The lab is described as open, supportive, collaborative, and fun, with access to world-class facilities at the Sloan Kettering Institute. Dr. Pe'er's work continues to push the boundaries of computational biology and cancer research, with the ultimate goal of developing more effective, personalized therapies for cancer patients.

Javad Dargahiمشاهده پروفایل

استاد

• Haptic Sensors
• Robotics
• Biomedical Engineering
• +۵ مورد دیگر

Javad Dargahi is a Professor of Mechanical, Industrial and Aerospace Engineering at Concordia University, Montreal. His research focuses on haptic sensors, robotic systems for minimally invasive surgery, and smart sensor fabrication using micromachining and piezoelectric polymers. He leads projects in teletaction, embedded force sensing for soft robots, and medical device innovation. Research interests include tactile sensor design for robots and endoscopes, nonlinear impedance matching in surgical robotics, and deep learning-driven force estimation for catheters. His work bridges mechanical engineering with biomedical applications, emphasizing safety and precision in interventional surgeries. Recent publications explore multitask neural architectures for intracardiac catheters, real-time force control algorithms, and biomimetic soft robotics. His lab develops miniature optical sensors and stiffness-adaptive systems for surgical tools, with applications in cardiac ablation and vascular navigation.

İbrahim Akdumanمشاهده پروفایل

استاد

• Image Processing
• Communication
• Microwave Imaging
• +۳ مورد دیگر

Prof. Dr. İbrahim Akduman is a Professor at the Department of Electronics and Communication Engineering , Istanbul Technical University , specializing in microwave imaging and biomedical applications. His research spans antenna engineering, dielectric property analysis, and microwave hyperthermia systems.

Stéphanie P. Lacourمشاهده پروفایل

استاد

• Bioelectronics
• Neuroprosthetics
• Soft Electronics
• +۹ مورد دیگر

Stéphanie P. Lacour is a Full Professor at the School of Engineering, École Polytechnique Fédérale de Lausanne (EPFL), where she holds the Foundation Bertarelli Chair in Neuroprosthetic Technology. She leads the Laboratory of Soft Bioelectronic Interfaces (LSBI) and is affiliated with multiple departments including INX-STI, STI-SMT, SV-SSV, and AVP-DLE-EDOC. Since 2025, she has served as EPFL’s Vice-President for Support to Strategic Initiatives, overseeing institutional research strategy. Her research is centered at Campus Biotech in Geneva, where she was the founding director of the Neuro-X Institute. PhD in Electrical Engineering, INSA Lyon, France (1998–2001) Postdoctoral Research, Princeton University and University of Cambridge Joined EPFL in 2011 Her research focuses on soft bioelectronic interfaces that seamlessly integrate with biological tissues. She pioneers the development of stretchable, compliant electronics for implantable and wearable applications, using techniques from MEMS and microelectronics adapted to elastomeric substrates. Her work enables long-term, minimally invasive neural interfacing for applications in neuroprosthetics, rehabilitation, and health monitoring. Key innovations include soft electrocorticography arrays, liquid metal sensors, and encapsulation methods for chronic implants. Her recent publications span high-impact journals such as Nature , Science Robotics , Advanced Materials , and Nature Nanotechnology , covering topics like neural stimulation, soft robotics, wireless implants, and hydrogel-based interfaces . The work demonstrates a strong trend toward multimodal, closed-loop, and translational neurotechnologies with real-world clinical potential. Scientific Awards: No scientific awards explicitly mentioned in the provided text. She advises a large cohort of PhD students and postdoctoral researchers, many of whom have completed their theses under her supervision. Her team has received funding for projects in neural interfacing, bioelectronics, and soft robotics. She is actively involved in teaching courses such as Soft Microsystems Processing and Devices and Neural Interfaces . Lacour leads the Laboratory of Soft Bioelectronic Interfaces (LSBI) , a multidisciplinary research team focused on the fabrication, characterization, and in vivo evaluation of soft bioelectronic systems. The lab collaborates extensively across EPFL and with clinical partners to translate technologies from bench to bedside.

• Computational Pathology
• Medical Image Analysis
• Deep Learning
• +۴ مورد دیگر

Nasir M. Rajpoot is a Professor in the Department of Computer Science at the University of Warwick, UK. His research focuses on computational pathology, medical image analysis, and deep learning applications in histology. He leads interdisciplinary projects integrating artificial intelligence with healthcare, particularly in cancer diagnostics and pathology workflows. Rajpoot’s work emphasizes developing robust algorithms for histology image analysis, including nuclear segmentation, tumor classification, and domain generalization in computational pathology. His contributions include the TIAToolbox, an open-source framework for tissue image analytics, and the CoNIC Challenge to advance nuclear detection and counting in histology images. He collaborates with clinicians and biologists to translate AI models into clinical practice, addressing challenges like tumor heterogeneity and staining variability. Rajpoot’s research spans colorectal, lung, and oral cancers, with a focus on predicting clinical outcomes via histological features and genomic data integration. Notable projects include the development of Handcrafted Histological Transformer (H2T) for unsupervised representations of whole slide images and the SAFRON framework for histology image synthesis. His work addresses domain adaptation, robustness evaluation, and explainability in AI-driven pathology systems.

• Biomaterials
• Peripheral Nerve Injury
• Neuromuscular Modeling and Repair
• +۲ مورد دیگر

Suradip Das is a Research Assistant Professor in the Department of Neurosurgery at the Perelman School of Medicine, University of Pennsylvania, where he serves as a Senior Research Investigator. His work bridges neural engineering and regenerative medicine to address critical challenges in nerve and muscle repair. His academic training includes: B.Tech in Biotechnology from Heritage Institute of Technology (2010) PhD in Biosciences and Bioengineering from Indian Institute of Technology Guwahati (2016) Dr. Das specializes in biomaterials development , peripheral nerve injury models , neuromuscular interface engineering , and stem cell-based regeneration . His research pioneers innervated tissue-engineered muscle constructs, demonstrating how motor neurons and endothelial cells synergistically enhance skeletal myocyte maturation. He innovates custom mechanobioreactors that apply tensile forces to guide nanofiber alignment for optimal myofiber formation, significantly advancing volumetric muscle loss treatments. Analysis of his 15 most recent publications reveals a dominant focus on neuromuscular regeneration (75% of articles), with emerging exploration of psychedelic compounds in neural repair. His work consistently integrates human iPSC-derived models , multi-cellular co-cultures , and large-animal validation to address translational gaps. Key trends include optogenetic control of motor units (2023), porcine nerve injury models (2020), and the critical role of pre-innervation in creating pro-regenerative microenvironments (2020-2022). As a core member of the Cullen Lab, Dr. Das collaborates on developing biofabricated neural microtissues for delayed nerve fusion and rapid functional recovery. His research directly informs clinical strategies for peripheral nerve repair and muscle regeneration through rigorous mechanistic studies and innovative engineering solutions.

Thomas Winklerمشاهده پروفایل

دانشیار

• Microsystems Technology
• Organ-on-Chip
• Neuropsychiatric Disorders
• +۳ مورد دیگر

Thomas Winkler is an Associate Professor at the Division of Micro and Nanosystems, KTH Royal Institute of Technology, Sweden, and collaborates with TU Braunschweig, Germany. His research focuses on solving life science challenges using microsystems tools, particularly in neuropsychiatric disorders like schizophrenia. He develops organ-on-chip models, engineered microfluidic platforms, and biosensors for point-of-care diagnostics. Winkler leads an interdisciplinary ERC-funded team addressing metabolic coupling in neurovascular units and oxidative stress biomarkers. Key achievements include the ERC Starting Grant (2023) and work on electrochemical sensors for clozapine monitoring. He teaches courses such as Microsystem Technology (EK2350) and supervises PhD and postdoctoral researchers. Current projects include machine learning-guided robotic organoid maturation and electrochemical technology development for the CHIPzophrenia initiative. His lab actively seeks talent through open positions in Stockholm and Braunschweig. Scientific awards include the ERC Starting Grant and Marie Skłodowska-Curie Actions Fellowship. Research spans sensor development, microfabrication, and biomaterials, with a focus on translating lab technologies to clinical applications. Collaborations bridge engineering and life sciences, emphasizing personalized mental healthcare solutions.

• Neuroelectronics
• Biomedical Engineering
• Microfabrication
• +۵ مورد دیگر

Lukas Hiendlmeier is a Researcher at the Technical University of Munich, affiliated with the Munich Institute of Biomedical Engineering (MIBE) and the Associate Professorship of Neuroelectronics led by Prof. Bernhard Wolfrum. He holds a Master of Science in Mechanical Engineering from TUM. His research focuses on advanced fabrication technologies such as 3D printing, laser micromachining, and polymer material science, with applications in neuroelectronics and biomedical devices. Hiendlmeier’s work emphasizes developing self-folding bioelectronic interfaces, flexible electrodes, and implantable neural devices for peripheral nerve interfacing. His contributions include innovations in 4D printing techniques, thermoformed materials, and origami-inspired electrode designs. He collaborates on projects involving cell manipulation, microfluidic lab-on-a-chip systems, and closed-loop neural stimulation systems. Publications span topics like self-folding bioelectronics, flexible sensor arrays, and nanorobotics, showcasing expertise in materials science and biomedical engineering. His research bridges fundamental science and translational applications, addressing challenges in neural prosthetics, wearable diagnostics, and tissue engineering. Hiendlmeier is actively involved in the neuroTUM initiative and contributes to interdisciplinary teams at TUM, focusing on advancing neurotechnology through innovative fabrication methods and biomaterials.

Jennifer Curtisمشاهده پروفایل

استاد

• Biophysics
• Cell Mechanics
• Glycobiology
• +۵ مورد دیگر

Jennifer Curtis is a Full Professor in the School of Physics at Georgia Institute of Technology and serves as an ADVANCE Professor for the College of Sciences. Her research focuses on the physics of cell-cell and cell-extracellular matrix interactions, particularly within glycobiology and immunobiology contexts. Dr. Curtis earned her Ph.D. in Physics from the University of Chicago (2002) and her B.A. in Physics from Columbia University (1997). Her research interests span biophysics at interfaces, quantitative modeling of collective cellular interactions, cell mechanics, motility, adhesion, and the role of bulky sugars in tissue organization. Her laboratory investigates collective and single cell migration, immunophage therapy (combining immune cells with phages to combat bacterial infections), and molecular biophysics of hyaluronan synthase. Recent work demonstrates applications in soft materials, biomaterials, tissue engineering, and advanced characterization techniques. Analysis of her publication record reveals consistent focus on glyco-biophysics and cellular mechanics, with increasing emphasis on microbial communities and therapeutic applications. Her work bridges physics, biology, and engineering through interdisciplinary approaches. Honors include the NSF CAREER Award (2010), Georgia Tech College of Sciences Faculty Mentor Award (2015), and Cullen Peck Award (2020). She serves on the Biophysical Journal editorial board. Dr. Curtis actively mentors students through the Georgia Tech Physics REU program (which she directs) and collaborates with biologists, chemists, and materials scientists. Her laboratory maintains strong partnerships with institutions including Emory University and international collaborators. The Curtis Lab operates the Cell Physics Laboratory in the Molecular Science & Engineering Building, utilizing advanced techniques including holographic optical tweezers, thermochemical nanolithography, and single-molecule imaging to study cellular mechanics and polymer physics at biological interfaces.

Yon Visellمشاهده پروفایل

دانشیار

• Haptics
• Robotics
• Human-Computer Interaction
• +۵ مورد دیگر

Prof. Yon Visell is an Associate Professor at the University of California, Santa Barbara (UCSB) with appointments in the Department of Bioengineering, Department of Electrical and Computer Engineering, and Department of Mechanical Engineering. He directs the RE Touch Lab, which focuses on haptics, robotics, and interactive technologies, including sensorimotor augmentation, soft robotics, and virtual reality applications. The lab is affiliated with the Media Arts and Technology Program, Communication and Signal Processing group (ECE), Dynamic Systems and Control group (ME), California NanoSystems Institute, Center for Polymers and Organic Solids, UCSB Research Center for Virtual Environments and Behavior, and UCSB Robotics Group. Education: PhD in Electrical and Computer Engineering from McGill University, MA in Physics from University of Texas, Austin, and BA in Physics from Wesleyan University His research spans robotics, haptics, biomechanics, and soft electronics, aiming to advance human-computer interaction and wearable technologies. Recent work includes light-driven tactile displays, biomechanical filtering in tactile encoding, and haptic systems for VR and healthcare. The lab has received numerous awards at IEEE Haptics Symposium, World Haptics Conference, and EuroHaptics Society events. 2025 Best Demonstration Awards at IEEE World Haptics Conference 2024 Best Paper at IEEE Haptics Symposium 2023 Best Journal Paper at IEEE Transactions on Haptics Visell's group has pioneered wave-based haptic rendering, tactile holography, and soft wearable robotics. They have developed tools like SkinSource for tactile biomechanics simulation and collaborated with institutions in North America, Europe, and Japan. Current projects involve photonics-driven tactile systems, soft robotics for therapy, and next-generation haptic interfaces while mentoring students like Gregory Reardon (2024 EuroHaptics Best Dissertation), Max Linnander (IEEE Haptics awards), and Neeli Tummala (SWE Intel Scholar). Research Grants: Funded by NSF, tech, and healthcare industries Lab: RE Touch Lab at California NanoSystems Institute Collaborations: with TU Dresden, Northwestern University, NC State, UCLA, and others

Behnaam Aazhangمشاهده پروفایل

استاد

• Signal and Data Processing
• Information Theory
• Neuroengineering
• +۴ مورد دیگر

Behnaam Aazhang is the J.S. Abercrombie Professor of Electrical and Computer Engineering at Rice University and Director of the Rice Neuroengineering Initiative (NEI). He holds a B.S., M.S., and Ph.D. from the University of Illinois at Urbana-Champaign. His roles include leading the multi-university Rice Neuroengineering Initiative and directing the Center for Neuroengineering. He has held an Academy of Finland Distinguished Visiting Professorship (FiDiPro) at the University of Oulu (2006-2014) and received an Honorary Doctorate from the University of Oulu in 2017. Education: Ph.D. in Electrical Engineering, University of Illinois at Urbana-Champaign (1986) M.S. in Electrical Engineering, University of Illinois at Urbana-Champaign (1983) B.S. in Electrical Engineering, University of Illinois at Urbana-Champaign (1981) Research Interests: Dr. Aazhang’s work focuses on signal/data processing, information theory, and neuroengineering applications. Key areas include: Neuronal circuit connectivity and learning impacts Real-time closed-loop neuromodulation for neurological disorders (epilepsy, Parkinson’s, depression) Patient-specific cardiac pacing systems Cybersecurity in cloud computing Awards & Honors: 2022 Rice Outstanding Doctoral Thesis Advisor Award 2019 SIGMOBILE Test of Time Award 2017 Honorary Doctorate (University of Oulu) 2013 IEEE Communication Society Advances in Communication Award AAAS and IEEE Fellowships (2012 and 1999) Grants & Advising: His research is supported by multi-university collaborations and grants. He has advised numerous graduate students in electrical engineering and neuroengineering, though specific names are not listed here. Labs & Teams: Leads the Aazhang Lab and the Rice Neuroengineering Initiative, focusing on translational technologies for neurological and cardiac disorders, including non-invasive neuromodulation and cloud security systems.

• Visual Attention
• Neural Processing
• Eye Movement Control
• +۶ مورد دیگر

James Warwick Bisley is a Professor of Neurobiology in the School of Medicine at the University of California Los Angeles (UCLA). His research focuses on the neural mechanisms underlying visual attention, eye movement control, and spatial processing in the brain. Dr. Bisley has made significant contributions to understanding how the brain guides attention and eye movements during visual search tasks, particularly through his work on the lateral intraparietal area (LIP) and frontal eye field (FEF). Dr. Bisley earned his PhD in Neuroscience from the University of Melbourne in December 1997. His research has been consistently supported by NIH funding, including R01 grants R01EY027968 (2018-2022) and R01EY019273 (2008-2019), where he served as Principal Investigator investigating neural processing in covert attention and the neural mechanisms underlying the guidance of visual attention. His research interests span visual attention, neural remapping, eye movement control, and the neural basis of spatial cognition. Dr. Bisley's work has demonstrated how brain areas like LIP and FEF contribute to visual attention and eye movement planning through the creation of priority maps. His recent publications show an expansion into haptic feedback applications in robotic surgery, demonstrating the translational potential of basic neuroscience research to improve surgical technologies. Dr. Bisley's publication record from 2016-2022 reveals a dual research focus: approximately half of his work continues to explore fundamental mechanisms of visual attention and neural processing, while the other half applies these principles to enhance robotic surgical systems through improved haptic feedback and tactile sensing. This interdisciplinary approach bridges cognitive neuroscience with biomedical engineering to address practical challenges in medical technology. Neural processing in covert attention (NIH R01EY027968, 2018-2022) The Neural Mechanisms Underlying the Guidance of Visual Attention (NIH R01EY019273, 2008-2019) Dr. Bisley has established himself as a leading researcher in visual neuroscience, with numerous highly cited publications in top journals including Journal of Neuroscience, Cerebral Cortex, and Proceedings of the National Academy of Sciences. His collaborative work spans multiple disciplines, connecting basic neuroscience with engineering applications to create innovative solutions for medical challenges.

Istvan Modyمشاهده پروفایل

استاد

• Neuroscience
• Neurology
• Pharmacology
• +۱۲ مورد دیگر

Istvan Mody is a Professor at the University of California, Los Angeles (UCLA) with appointments in the Department of Neurology and Department of Physiology . His research focuses on synaptic signaling in health and disease, including mechanisms of GABAergic transmission, calcium homeostasis, and their roles in neurological disorders such as epilepsy, Alzheimer's disease, Huntington's disease, stress, alcoholism, and postpartum depression. He utilizes advanced techniques like patch-clamp electrophysiology, neuroanatomical and immunohistochemical methods, and molecular biology in animal models and human brain tissue . Research Interests: Dr. Mody investigates the physiology, pharmacology, and pathology of synaptic transmission and extrasynaptic receptor activation , with a particular emphasis on GABA(A) receptors and their subunit-specific modulation. His work explores how disruptions in excitation-inhibition balance contribute to neurological diseases, including mechanisms of tonic inhibition , calcium signaling , and neurosteroid interactions . He also studies the effects of chronic stress and hormonal fluctuations on neural excitability and behavior. Publications Trends: Recent studies highlight his work on gamma oscillations in Alzheimer's models, microglial dynamics , and rehabilitation strategies for stroke. His lab develops optical tools like dqGEVI for neuronal activity monitoring and investigates human brain organoids to model network dysfunction in epilepsy and intellectual disability. Laboratory Location: 635 Charles Young Dr S, Los Angeles, CA 90095, United States.

• Medical Image Analysis
• Machine Learning in Medical Imaging
• Neuroimaging
• +۵ مورد دیگر

Lawrence Staib is Professor of Radiology and Biomedical Imaging, Biomedical Engineering, and Electrical Engineering at Yale University. He serves as Director of Undergraduate Studies in Biomedical Engineering and is a member of Yale's Bioimaging Sciences division, Image Processing & Analysis Group, Yale Biomedical Imaging Institute, and Yale-BI Biomedical Data Science Fellowship program. Dr. Staib earned his A.B. in Physics from Cornell University (1982), followed by a Ph.D. in Engineering and Applied Science from Yale University (1990), and completed a postdoctoral fellowship at Yale School of Medicine (1991). His research focuses on developing advanced medical image analysis methods using machine learning and model-based approaches. Key research areas include neuroimaging applications for autism spectrum disorder classification, cardiac imaging analysis for strain and motion assessment, prostate cancer diagnosis and risk mapping, and innovative techniques for medical image segmentation with limited labeled data. Dr. Staib's work emphasizes uncertainty estimation in deep learning models, multi-modal image registration, and domain adaptation techniques to improve clinical decision support systems. His recent publications demonstrate a strong trend toward developing interpretable AI models for clinical applications, with particular emphasis on fMRI analysis for neurological conditions, cardiac motion analysis, and prostate cancer diagnosis. His work frequently addresses the challenge of limited labeled data in medical imaging through innovative self-supervised, semi-supervised, and few-shot learning approaches. Fellow of the American Institute for Medical and Biological Engineering (AIMBE) (2015) Distinguished Investigator Award from the Academy for Radiology & Biomedical Imaging Research (2017) MICCAI Fellow (2022) Medical Image Analysis Second Best MICCAI Paper Award (2005) ASNR Cum Laude Scientific Exhibit Award (2003) Dr. Staib serves on the editorial board of Medical Image Analysis and as Associate Editor of IEEE Transactions on Biomedical Engineering. His research is supported by NIH grants including the Autism Center of Excellence program. He leads the Image Processing & Analysis Group within Yale's Bioimaging Sciences division, collaborating extensively with James Duncan, John Onofrey, Xenophon Papademetris, and other Yale researchers on applications spanning neuroimaging, cardiology, and oncology. Current projects focus on developing robust AI models for clinical decision support with emphasis on uncertainty quantification and interpretability.

• Ophthalmology
• Corneal Diseases
• Keratoconus
• +۳ مورد دیگر

Professor Gerard Sutton is an Honorary Professor in the Faculty of Medicine and Health at the University of Sydney, affiliated with the Save Sight Institute and Vision Eye Institute. He specializes in corneal and refractive surgery, combining clinical practice with research in keratoconus, corneal bioengineering, and global eye care. His work includes developing the Australian Corneal Bioengineering Centre and pioneering innovations like the Corneal Biopen for treating corneal defects. Research interests span clinical and laboratory-based studies, focusing on corneal transplantation, bioengineered treatments, and refractive surgery outcomes. Current projects include corneal bioengineering, keratoconus pathogenesis, and SMILE surgery clinical outcomes. He holds memberships in prominent ophthalmology societies like RANZCO and APPO. Awards: 2019 RANZCO John C. Parr Medal Lecture Award 2017 Sydney Research Centre ‘Big Idea’ Innovation Award 2015 XOVA Excellence in International Ophthalmology 2014 Asia Pacific Academy of Ophthalmology Achievement Award Grants & Funding: AU$35M BIENCO consortium (2023) for corneal blindness therapies AU$1.1M Corneal Biopen commercialization (2018) NHMRC Ideas Grant for bioengineered corneal layers (2019) His research group collaborates internationally, with projects addressing corneal transplantation equity, bioink development, and regenerative solutions for ocular surface diseases. Clinical affiliations include Sydney Eye Hospital and the Lions NSW Eye Bank.