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Assistant Professor
Boris Gutman is an Assistant Professor of Biomedical Engineering at Illinois Institute of Technology , affiliated with the Armour College of Engineering . He holds a Ph.D. and B.S. in Biomedical Engineering and Applied Mathematics respectively from the University of California, Los Angeles (UCLA) .
Assistant Professor
Kelsey Canada is an incoming Assistant Professor in the Department of Psychological and Brain Sciences at the University of Massachusetts Amherst, starting Fall 2025. She is based in Tobin Hall and will lead a research program focused on developmental cognitive neuroscience. Her research centers on understanding how memory and brain development, particularly in the hippocampus, evolve during childhood and adolescence. She examines how socioeconomic factors influence neurodevelopment, using interdisciplinary methods including MRI , EEG , behavioral testing , and structural equation modeling . Her work emphasizes representative sampling and data integration to uncover modifiable risk and protective factors. Dr. Canada's recent publications highlight her leadership in hippocampal subfield research, quality control in neuroimaging, and collaborative data practices. Her work spans developmental trajectories, methodological innovation, and social determinants of brain health. She earned her PhD from the University of Maryland, College Park, and is establishing her lab at UMass Amherst. Prospective students are encouraged to contact her directly. Research Areas: Developmental Science, Neuroimaging, Cognitive Development Affiliation: Department of Psychological and Brain Sciences, UMass Amherst Dr. Canada has been involved in major collaborative initiatives, including the Hippocampal Subfields Group, and her research is supported by recent publications in top journals such as Human Brain Mapping , Hippocampus , and Developmental Cognitive Neuroscience . While no formal grants or advising roles are listed yet, her active publication record and lab formation indicate a growing research program.
Professor
Professor Jennifer Hay is a Professor of Linguistics in the Faculty of Arts at the University of Canterbury, New Zealand, where she has been employed since July 2000. She serves as Director of the New Zealand Institute of Language, Brain and Behaviour and is actively involved in collaborative interdisciplinary research projects within the institute. Professor Hay's primary research interests focus on New Zealand English, sociophonetics, laboratory phonology, and morphology. Her work explores how language varies and changes across speakers and contexts, with particular attention to the relationship between speech production and perception. She investigates how social factors influence linguistic patterns and how listeners adapt to different accents and speech styles. Her research combines laboratory methods with corpus-based analysis to address theoretical questions about language structure and use. Her publication record demonstrates consistent contributions to understanding language variation, especially in New Zealand English. Recent work examines vowel covariation, the influence of music on speech perception, and the implicit knowledge of Māori among non-Māori speakers. She has published over 280 scholarly works, with numerous publications in high-impact journals including Language, Journal of Phonetics, and Laboratory Phonology. Rutherford Discovery Fellowship (2010) - $1,000,000 to fund research on Episodic Word Memory (2011-2016) Founding Member, Association for Laboratory Phonology (2010) Fellow of the Center for the Advanced Study of the Behavioral Sciences, Palo Alto Professor Hay actively supervises numerous graduate students, with recent projects focusing on topics such as language variation in Christchurch schools, audience design in police shows, loanword phonology, and the perception of nonbinary speech. She has secured multiple competitive grants from the Royal Society of New Zealand, including current funding for projects on Māori word categories, implicit grammar learning, and vowel sequences in te reo Māori through 2028. As Director of the New Zealand Institute of Language, Brain and Behaviour, Professor Hay leads an interdisciplinary team of researchers investigating language processing, acquisition, and variation. Her collaborative approach has fostered partnerships across linguistics, psychology, and cognitive science to advance understanding of how language works in the human mind and society.
Professor
Judit Gervain is a Full Professor at the Department of Developmental and Social Psychology at the University of Padua, Italy, and a CNRS Senior Research Scientist (Directeur de Recherche) at the Integartive Neuroscience and Cognition Center (CNRS & Université Paris Descartes), Paris, France. Her research focuses on early speech perception, language acquisition in monolingual and bilingual infants, and the neural mechanisms underlying language learning. She pioneered studies on newborn speech perception using near-infrared spectroscopy (NIRS), revealing prenatal influences on perceptual abilities and the emergence of grammatical structures in preverbal infants. Education: PhD in Cognitive Neuroscience (2002, SISSA, Trieste), postdoctoral research at the University of British Columbia (2007–2009), and CNRS researcher since 2009. She has authored over 100 peer-reviewed articles in journals like Science Advances , Nature Communications , and Developmental Science . Research Interests: Infant language processing, bilingualism, neuroimaging techniques (fNIRS), and comparing infant learning trajectories to artificial intelligence systems. Her work bridges developmental psychology, neuroscience, and computational linguistics, emphasizing the role of innate biases and environmental input in language acquisition. Her recent studies explore how infants’ learning mechanisms differ from Large Language Models (LLMs), focusing on input requirements, critical periods, and the role of multimodal integration. She also investigates the impact of prenatal auditory experience on neonatal speech perception and the neural foundations of linguistic structure detection. Labs/Teams: Affiliated with the CNRS’s Integartive Neuroscience and Cognition Center and the University of Padua’s developmental psychology group. Serves as associate editor for Developmental Science and Neurophotonics .
Professor
Lisa Sanders is a Professor in the Department of Psychological and Brain Sciences at the University of Massachusetts Amherst. She leads the Neurocognition and Perception Laboratory and is affiliated with the Neuroscience & Behavior Graduate Program, Center for Research on Families, Healthy Development Initiative, Initiative in Cognitive Science, and the Institute for Applied Life Sciences. PhD, 2001, University of Oregon Her research lies at the intersection of cognitive neuroscience and developmental science, focusing on auditory perception, speech processing, and selective attention across the lifespan. She investigates how listeners process speech in noise, how prosody and rhythm influence perception, and the neural mechanisms underlying attentional allocation in both speech and music. Her work employs behavioral, EEG, and ERP methodologies with participants ranging from toddlers to older adults. The most recent publications highlight a strong trend in temporal attention, speech segmentation, and the influence of prosody and musical structure on perception. Her research increasingly explores cross-modal and developmental aspects of auditory cognition, using artificial languages and controlled stimuli to isolate perceptual mechanisms. Collaborative work extends into emotional decision-making and visual attention. Lisa Sanders has not been mentioned as receiving any scientific awards in the provided text. She advises graduate students through the Neuroscience & Behavior program and leads a multidisciplinary research team. Her lab conducts externally funded research projects such as LiveNoise, SpeechRate, PrecedNoise, and PhonoLearn, often in collaboration with researchers across departments and institutions. While specific grants are not listed, her sustained research output and lab operations imply active grant support. She directs the Neurocognition and Perception Laboratory at Tobin Hall, where her team investigates neural and cognitive mechanisms of perception using electrophysiological and behavioral methods. The lab fosters collaboration across psychology, linguistics, neuroscience, and communication disorders.
Associate Professor
Solomon G. Diamond is an Associate Professor of Engineering at Dartmouth College's Thayer School of Engineering, serving as Co-Director of the Design Initiative at Dartmouth. He holds degrees from Dartmouth (AB 1997, BE 1998) and Harvard (SM 2001, PhD 2004). His research focuses on biomedical imaging, functional neuroimaging, and magnetic nanoparticle imaging, with emphasis on diagnostic technologies and medical device development. He has received awards including the 2023 Outstanding Service Award and the 2002 Derek Bok Teaching Award. Research projects include neurovascular coupling studies, clinical optical-electric probes, and magnetic nanoparticle imaging. He co-founded Lodestone Biomedical, a medtech company advancing nanoparticle-based biosensors. His work bridges engineering and medicine, with notable contributions to magnetic nanoparticle characterization and imaging array systems. He teaches courses like ENGS 90 (Engineering Design Methodology) and ENGS 29 (Computer-Aided Design & Kinematics). Recent work includes a 2024 study on salt concentration effects in magnetic nanoparticle biosensors with PhD candidate Gabby Moss. He holds patents for technologies like magnetic susceptibility tomography and in-bed exercise machines. His interdisciplinary collaborations span biomedical engineering, materials science, and clinical diagnostics.
Assistant Professor
Dr. Andreas Rauschecker is a neuroradiologist at the University of California San Francisco (UCSF), specializing in advanced imaging technologies (CT, MRI) for diagnosing nervous system disorders in adults and children. He employs AI and image-processing techniques to enhance diagnostic accuracy and collaborates with multidisciplinary teams to improve patient outcomes. Fellowship in Neuroradiology, University of California San Francisco (2020) MD PhD in Neuroscience, Stanford University (2013) MSc in Neuroscience, Oxford University (2005) BS in Biology & Psychology, Georgetown University (2004) His research focuses on applying artificial intelligence to neuroimaging, particularly for conditions like multiple sclerosis, brain tumors, and developmental disorders. He investigates how AI can standardize myelination assessments, detect lesions, and reduce reliance on contrast agents in MRI. Recent publications highlight his work on automated lesion segmentation, transfer learning for MRI analysis, and large language models in radiology. Collaborative efforts include multi-institutional datasets for meningioma and glioma segmentation, emphasizing reproducibility and open science. UCSF Chen Scholar (2024-2026) UCSF Weill Award for Clinician-Scientists (2023) ASNR/ASfNR MIT-E Scholarship (2019) NVIDIA GPU Seed Grant (2018) RSNA Roentgen Fellow Research Award (2019) Rauschecker mentors trainees and collaborates on grants related to AI-driven radiology tools. His work bridges clinical practice and computational innovation, aiming to integrate cutting-edge technologies into standard neuroradiology workflows.
Associate Professor
Uwe Meyer-Baese is an Associate Professor in the Electrical and Computer Engineering Department at the FAMU-FSU College of Engineering. He holds a Ph.D. (Dr.-Ing. habil) from Darmstadt University of Technology, Germany. His research focuses on Digital Signal Processing with FPGAs, VLSI design, and medical imaging applications. He has authored over 100 publications, 5 books, and holds 3 patents. He has been recognized with awards such as the Humboldt Fellowship (2009) and the FAMU-FSU Teaching Award (2007). Education History: Dr.-Ing. habil (Venia Legendi), Darmstadt University of Technology, Germany, 2003 Ph.D. (Dr. Ing.), Darmstadt University of Technology, Germany, 1995 M.S., Darmstadt University of Technology, Germany, 1989 Research Interests: FPGA-based embedded systems and real-time DSP Low-power VLSI architectures Medical image processing (e.g., breast MRI, brain tumor analysis) Hardware security and intellectual property protection Graph theory applications in biological networks Recent work includes advancements in FPGA implementations for microprocessor systems, brain network controllability studies, and AI-driven medical diagnostics. His lab focuses on bridging hardware design with biomedical applications, emphasizing practical implementations through FPGA platforms. Awards: Max-Kade Award in Neuroengineering (1997) ECE Department Research Award (2005) Humboldt Fellowship (2009) FAMU-FSU Teaching Award (2007) He has advised over 60 master’s theses and contributed to major grants in FPGA-based medical systems. His book Digital Signal Processing with Field Programmable Gate Arrays is a widely used textbook in the field.
Professor
Chun Yuan, PhD is a Professor in the Radiology & Imaging Sciences department at the University of Utah School of Medicine, with an adjunct appointment in Biomedical Informatics. His research focuses on atherosclerosis imaging , magnetic resonance imaging (MRI) technology , and vascular health assessment using advanced imaging techniques. Education: PhD in Radiology & Imaging Sciences, University of Utah School of Medicine BS in Physics, Beijing Normal University Research Interests: Dr. Yuan's work explores atherosclerotic plaque characterization , carotid artery imaging , and intracranial vessel wall analysis . He develops novel MRI sequences for simultaneous noncontrast angiography , plaque hemorrhage detection , and quantitative vascular assessments . His studies often integrate biomechanical modeling and AI-driven image analysis to improve stroke risk stratification and atherosclerosis monitoring . Scientific Contributions: Dr. Yuan has pioneered MRI techniques like SNAP (Simultaneous Non-Contrast Angiography and Intraplaque Hemorrhage) and iCafe (Intracranial Artery Feature Extraction) . His research demonstrates correlations between plaque composition and cardiovascular outcomes , with applications in diabetes , hypertension , and lipid-lowering therapies . Scientific Awards: Fellow of the American Heart Association (FAHA) Fellow of the International Society for Magnetic Resonance in Medicine (FISMRM) Collaborations: He collaborates with institutions globally, including the Chinese Atherosclerosis Risk Evaluation (CARE-II) Study and European Society of Cardiology initiatives . His work bridges clinical cardiology , neuroradiology , and biomedical engineering .
Researcher
Dr Mary Baltazani is a Postdoctoral Researcher in Phonetics at the University of Oxford's Faculty of Linguistics, Philology & Phonetics, affiliated with the Phonetics Lab and Language & Brain Lab. Her research focuses on the interface between phonetics, phonology, and pragmatics, with special attention to intonation, Greek dialects, and sociophonetics. She leads and collaborates on projects examining language contact effects on intonation (e.g., Greek in Cyprus, Cretan Greek under Venetian influence) and the compositional nature of intonational meaning. Education: PhD in Linguistics from UCLA (2002), M.A. in Linguistics (UCLA), and academic positions at institutions including UCL, University College London, and the University of Ioannina. She has organized major conferences like BAAP 2014 and contributed to the creation of educational materials on Greek dialects through projects like VOCALECT. Research Interests : Intonation and pragmatics in Greek Historical and dialectal phonetics Language contact in the Eastern Mediterranean Prosodic typology and socioprosodic variation Current/Recent Projects: Greek in Contact (ESRC-funded): Examines Turkish and Italian influences on Greek intonation. Components of Intonation (British Academy): Investigates whether intonation's meaning is holistic or compositional. Grants include ESRC, British Academy, and NSRF European Regional Development Fund awards. Publications span encyclopedic entries, journal articles, and conference proceedings on topics like Cypriot Arabic prosody, Greek dialectal vowel systems, and historical phonetic change.
Assistant Professor
Rebecca Feldman is an Assistant Professor in Medical Physics and Physics at the Irving K. Barber Faculty of Science, University of British Columbia Okanagan. Her research integrates MR physics, engineering, and medical research to advance MRI pulse sequences and hardware for clinical translation, particularly in neurological disorders. University: University of British Columbia Okanagan Academic Rank: Assistant Professor PhD: University of Western Ontario Research Interests: Dr. Feldman specializes in technical innovation in MRI (accelerated imaging, spectroscopic imaging, non-proton imaging) and translational research applying MRI to neurological disease detection, characterization, and treatment. Her work leverages ultra-high-field (7T) MRI for enhanced resolution of brain structures like hippocampal subfields and perivascular spaces. Publications: Recent work includes advancements in self-supervised medical imaging backbones (MedMAE), segmentation of venous structures in epilepsy, automated MRI pulse design via neural networks, and clinical applications of 7T MRI in neurosurgical planning and psychiatric disorders like major depressive disorder. Teaching: Currently teaches courses in physics, including physics of waves.
Professor
Angel Merchan Perez is a faculty member at the Universidad Politécnica de Madrid , affiliated with the College of Computer Science and the Computer Systems Architecture and Technology Department . He is a key member of the Center for Biomedical Technology (CTB) since 2011 and the Technologies for Health Sciences Research Group since 2018. His work bridges neuroscience and computational technologies, focusing on ultrastructural analysis of the brain. Doctoral Postdoc: Harvard Medical School (1992-1995) Current Projects: Cajal Blue Brain Project, Human Brain Project His research focuses on developing advanced 3D electron microscopy techniques (FIB-SEM) for synaptic reconstruction, enabling quantitative analysis of synapse distribution and density in rat, mouse, and human cerebral cortex . He also contributed to image-analysis software like Espina for automated synapse detection. Recent publications highlight his expertise in: 3D Synaptic Mapping in Hippocampal Neurons Neurodevelopmental Disorder Pathology (Schizophrenia, Autism) Thalamocortical Circuit Complexity Mitochondrial Distribution in Neuropil Software Tools for Electron Microscopy
Professor
Dr. Hemant Tagare is a Professor at Yale School of Medicine with primary appointments in the Radiology & Biomedical Imaging department and secondary appointments in Biomedical Engineering and Statistics . He is affiliated with multiple research centers, including the Bioimaging Sciences , Center for Brain & Mind Health , and Yale Biomedical Imaging Institute . Research Interests Cryogenic Electron Microscopy (Cryo-EM) for protein structure reconstruction MRI/ultrasound image segmentation using machine learning Non-rigid registration and shape theory Mathematical foundations of image analysis Articles Trends : Recent publications focus on cryo-EM particle picking consensus algorithms, T2-weighted MRI standardization, and IVIM perfusion measurement in peripheral artery disease. Earlier works emphasize segmentation techniques, non-rigid registration, and phantom validation. Scientific Awards Best Poster Award (2003) for ultrasound segmentation algorithm Francois Erbsmann Award (1993) for medical image processing National Science Talent Search Scholarship (1977) from India
Assistant Professor
Attila Keresztes is an Assistant Professor in the Department of Cognitive Psychology at Eötvös Loránd University (ELTE), Budapest, Hungary. He serves as Principal Investigator of the Lifespan Memory Development Lab and Head of the Hippocampal Circuit and Code for Cognition Lab (HCCCL), a Max Planck Partner Group. His research focuses on hippocampal structure-function relationships across the lifespan, employing high-resolution MRI and experimental methods to study memory development, stress impacts, and cognitive aging. Keresztes holds a PhD in Cognitive Science from Budapest University of Technology and Economics (2014) and completed postdoctoral training at the Max Planck Institute for Human Development in Berlin. Key interests include hippocampal maturation’s role in memory specificity, longitudinal brain development, and the interplay between stress hormones (e.g., cortisol) and hippocampal morphology. His work has been funded by grants such as FK128648 from Hungary’s National Research, Development, and Innovation Office. In 2022, he received the prestigious Bolyai János Research Scholarship from the Hungarian Academy of Sciences. Current lab activities involve collaborations with the Max Planck Institute and the ELTE Babylab, including the NeMO study on early childhood memory development. The HCCCL team includes PhD students (Alex Ilyés, Zsuzsanna Nemecz, Hunor Kis) and student researchers focusing on neuroimaging, semantic memory, and pattern separation mechanisms. Public engagement initiatives include participation in events like the European Researchers' Night and science outreach for children.
Professor
Massimo Candiani is a Full Professor at Vita-Salute San Raffaele University in Milan, Italy, specializing in Obstetrics and Gynecology. He serves as Director of the Complex Structure of Obstetrics and Gynecology at San Raffaele Hospital and has held leadership roles at multiple institutions including San Paolo Hospital and Milanocuore. His career spans over three decades with extensive clinical, academic, and research contributions. Specialized in Gynecology and Obstetrics (1993) European University Certificate in Gynecologic Endoscopy (1993) Medical Degree from University of Milan (1989) His research focuses on maternal-fetal medicine, gynecologic endoscopy, and women's health disorders. Recent publications address topics like fetal brain imaging segmentation, MRKH syndrome patient experiences, and urinary incontinence epidemiology. His work bridges clinical practice with translational research. Over the past year, Candiani has contributed to studies on predictive biomarkers for preeclampsia, colposcopy quality assurance, and postoperative complication modeling. These publications demonstrate his expertise in integrating clinical data with innovative diagnostic approaches. He actively participates in national and international conferences as speaker/moderator, with over 200 presentations since 1989. Notably, he was coordinator of the endoscopy unit at Milan's University Center for Experimental Fetal Surgery.
