جستجوی استاد راهنمای دانشگاهی

Rebecca Lawsonمشاهده پروفایل

استاد

• Computational Neuroscience
• Neuroscience
• Psychiatry
• +۶ مورد دیگر

Professor Rebecca Lawson is a Professor of Neuroscience and Computational Psychiatry at the University of Cambridge, affiliated with the Department of Psychology and Bye-Fellow at Peterhouse College. Her research focuses on understanding how humans learn to make predictions under uncertainty, with applications to mental health conditions such as anxiety and depression. She leads the Prediction and Learning (PaL) Lab, which combines computational modeling, neuroimaging (e.g., 7T MRI), and behavioral experiments to study cognitive processes in typical and atypical populations. Key research interests include computational psychiatry, autism spectrum disorders, neuroimaging techniques, and the neurochemical basis of learning mechanisms. She has received significant funding, including a £4.3m Wellcome Mental Health Award and the Sir Henry Dale Fellowship. Notable contributions include advancing theories of neural gain and sensory expectations in autism, as well as studies on uncertainty processing in anxiety and depression. Professor Lawson holds academic awards such as the BNPA Lishmann Prize and the BAP Psychopharmacology Award. She actively contributes to public engagement, including initiatives like Knit-a-Neuron and involvement with PrideinSTEM. Her lab collaborates internationally, with projects like the CamRAA study investigating autism-anxiety overlaps and the Chemical and Brain Basis of Uncertainty (CBBU) study exploring pharmacological interventions. Education: PhD in Cognitive Neuroscience (University of Cambridge), BA (Hons) Psychology & Philosophy (University of Glasgow). Grants: £4.3m Wellcome Award, Parke-Davis Fellowship, Lister Institute Prize. Labs/Teams: Principal Investigator of the PaL Lab; collaborations with MRC Cognition and Brain Sciences Unit, Yale University, and Brown University.

Robert Wilsonمشاهده پروفایل

دانشیار

• Computational Cognitive Neuroscience
• Reinforcement Learning
• Decision Making
• +۷ مورد دیگر

Robert Wilson is an Associate Professor in the School of Psychology at Georgia Institute of Technology. His research focuses on computational cognitive neuroscience, reinforcement learning, decision making, and their applications in psychiatry and aging. Wilson leads a lab integrating computational modeling with behavioral experiments, neuroimaging, and neurostimulation to explore the algorithms underlying human cognition. He holds a Ph.D. in Bioengineering from the University of Pennsylvania (2009). Education: Ph.D. in Bioengineering, University of Pennsylvania, 2009 Research Interests: Wilson’s work spans computational models of decision making, reinforcement learning dynamics, and the neural mechanisms of explore-exploit trade-offs. His lab investigates phishing detection cognition, navigation strategies, and perceptual decision making, with recent studies on aging-related cognitive decline and psychiatric disorders. Publications: His recent work includes studies on computational models of exploration strategies, phishing susceptibility (PEST task), and aging effects on decision-making. Articles often bridge neuroscience and AI, such as applying reinforcement learning to large language models. Awards & Grants: While no formal awards are listed, his research has been supported by grants exploring computational psychiatry and neuroimaging. Labs & Teams: Wilson directs a multidisciplinary lab at Georgia Tech, collaborating with experts in AI, neuroscience, and clinical psychology to advance computational theories of the mind-brain relationship.

Camilla Nordمشاهده پروفایل

استادیار

• Computational Psychiatry
• Cognitive Neuroscience
• Psychopharmacology
• +۷ مورد دیگر

Dr. Camilla Nord serves as Assistant Professor of Cognitive Neuroscience at the University of Cambridge's Department of Psychiatry and is Programme Leader at the MRC Cognition and Brain Sciences Unit. She holds dual appointments as Co-Director of Postgraduate Education & Director of the MPhil in Cognitive Neuroscience at the MRC CBU, and as Fellow and Director of Studies at Christ's College Cambridge. Nord directs the Mental Health Neuroscience Lab (nordlab.co.uk), which focuses on translating neuroscience into improved mental health treatments through innovative pharmacological, psychological, and neurostimulation interventions. Her research spans three interconnected streams: Discovery Science investigates brain-body interactions including interoception, circadian rhythms, and metabolism as neglected sources of mental health information; Experimental Medicine employs pharmacological manipulation, brain stimulation, and psychological interventions to establish causal relationships between physiological mechanisms and mental health conditions; and Translational Neuroscience develops clinical trials for neuroscience-based interventions, particularly 'acute augmentations' that enhance psychological therapy efficacy. Her lab has demonstrated how gut states cause disgust avoidance and how psychological therapy techniques alter negative learning processes. Analysis of Nord's publication record reveals a strong emphasis on computational approaches to mental health, with particular focus on depression treatment mechanisms. Her work increasingly integrates brain-body interactions, especially gut-brain and metabolic pathways, into mental health frameworks. Recent publications show growing emphasis on patient-centered research, interoception, and transdiagnostic approaches that cut across traditional psychiatric categories. Wellcome Career Development Award (£1.5 million) Wellcome Mental Health Award (£4.3 million, jointly awarded with Prof. Sarah Garfinkel) Sunday Times Book of the Year (2023) for 'The Balanced Brain: The Science of Mental Health' Financial Times Book of the Year (2023) for 'The Balanced Brain: The Science of Mental Health' Nord actively mentors PhD students and postdoctoral researchers, with her trainees receiving prestigious awards including the British Association of Psychopharmacology (BAP) Poster Prize, BAP Hannah Steinberg Bursary, and Alwyn Lishman Prize. Her lab is currently funded by MRC intramural funding, a Wellcome Career Development Award, and a Wellcome Mental Health Award, supporting innovative research at the intersection of neuroscience and mental health treatment. The Mental Health Neuroscience Lab operates within the MRC Cognition and Brain Sciences Unit, collaborating extensively with researchers across Cambridge and internationally. The lab maintains strong connections with clinical services and patient groups, ensuring research remains grounded in real-world mental health challenges. Current work focuses on transcranial ultrasound stimulation, gut-brain axis interventions, and computational modeling of mental health mechanisms.

James T. Ennsمشاهده پروفایل

استاد

• Perception
• Attention
• Vision
• +۳ مورد دیگر

James T. Enns is a Professor and Distinguished University Scholar in the Department of Psychology within the Faculty of Arts at the University of British Columbia. His research primarily focuses on the role of attention in human vision, with secondary interests in developmental psychology and human-machine interaction. Dr. Enns' research interests span perception, attention, vision, cognition, development, and human-machine interaction. His work explores how the human mind selects information, with particular emphasis on visual attention mechanisms. His laboratory research investigates the fundamental processes of visual perception and how attention modulates these processes across different contexts and developmental stages. Analysis of Dr. Enns' publication record reveals consistent engagement with visual perception, attentional mechanisms, and cognitive processing. His research demonstrates expertise in both theoretical frameworks and experimental methodologies related to visual attention, with applications spanning basic cognitive science to potential implementations in human-computer interaction systems. His work often bridges theoretical cognitive psychology with practical applications. Canadian Society for Brain, Behaviour and Cognitive Science Donald O. Hebb Distinguished Contribution Award (2013) Distinguished University Scholar, UBC (2004) Robert E. Knox Master Teaching Award (2004) Royal Society of Canada Fellow (2002) Killam Faculty Research Prize (1994) Killam Faculty Research Fellowship (1993) Society of Experimental Psychology Fellow Dr. Enns has served as Editor for the Journal of Experimental Psychology: Human Perception and Performance, and as Associate Editor for Psychological Science, Consciousness and Cognition, and Visual Cognition. His research has been supported by grants from NSERC, the Canadian Foundation for Innovation, the Australian Research Council, BC Health, and Nissan. He has authored textbooks on perception, edited research volumes on the Development of Attention, and published numerous scientific articles on vision, attention, and cognitive science. Dr. Enns is currently accepting graduate students and continues to mentor the next generation of cognitive scientists. Dr. Enns leads the UBC Vision Lab, which focuses on how the human mind selects information. The lab conducts research on visual attention, perception, and cognitive processes using a variety of experimental methodologies.

Anil Sethمشاهده پروفایل

استاد

• Cognitive Neuroscience
• Computational Neuroscience
• Consciousness Science
• +۱۲ مورد دیگر

Professor Anil Seth is a leading cognitive and computational neuroscientist at the University of Sussex, where he holds a professorship in the School of Engineering and Informatics. He is Director of the Sussex Centre for Consciousness Science and Co-Director of the CIFAR Program on Brain, Mind, and Consciousness and the Leverhulme Doctoral Scholarship Programme. His research bridges neuroscience, psychology, philosophy, and AI to investigate the biological basis of consciousness and selfhood. His research interests include: Predictive processing approaches to perception Virtual and augmented reality in self-experience studies Mathematical modeling of perception and emergence Machine learning applications in subjective perception modeling Interoception and selfhood Neural mechanisms of conscious experience The recent publications reflect a strong focus on consciousness, neural dynamics, predictive models, and interdisciplinary approaches. Trends include the use of computational modeling, neurophenomenology, causal analysis, and the ethical implications of emerging neurotechnologies. His work increasingly integrates large language models and data-driven methods for analyzing subjective experience. His scientific awards include: Segerfalk Award Perspectives Award Highly Cited Researcher (Web of Science, 2019–2022) Royal Society Michael Faraday Prize (2023) Seth has secured substantial research funding from the European Research Council (ERC), EPSRC, Wellcome Trust, CIFAR, and the Sackler Foundation. He has supervised numerous research projects and doctoral students through interdisciplinary programs. He leads the Dreamachine project and has been an Engagement Fellow with the Wellcome Trust. He serves on editorial boards including Philosophical Transactions of the Royal Society B and is Editor-in-Chief of Neuroscience of Consciousness . He leads a multidisciplinary research group at the Sackler Centre, bringing together psychologists, mathematicians, neuroscientists, computer scientists, and philosophers. His team conducts innovative research using virtual reality, neuroimaging, and computational modeling to explore the nature of consciousness and self.

Chen Ranمشاهده پروفایل

استادیار

• Interoceptive Processing
• Neurophysiology
• Brainstem Function
• +۵ مورد دیگر

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.

Kristen Lindquistمشاهده پروفایل

استاد

• Emotion
• Affective Neuroscience
• Emotional Development
• +۴ مورد دیگر

Dr. Kristen Lindquist is an incoming Professor and Robert K. and Dale J. Weary Chair in Social Psychology at The Ohio State University. She holds a A.B. in Psychology and English from Boston College (2004) and a Ph.D. in Psychology from Boston College (2010). Her research focuses on the psychological and neural basis of emotions, integrating tools from social cognition, neuroscience, and big data. She previously served as an Assistant Professor (2012–2018) and Associate Professor (2018–2022) at the University of North Carolina at Chapel Hill before being promoted to Professor in 2022. Her work emphasizes how emotions emerge from interactions between bodily states, cultural learning, and neural processes across the lifespan. She leads the Affective Science Lab, exploring cultural influences on emotion perception and the role of language in shaping emotional experiences. Lindquist’s research has been featured in Science , NeuroImage , and Trends in Cognitive Sciences , among others. Education: A.B. in Psychology and English, Boston College, 2004 Ph.D. in Psychology, Boston College, 2010 Research Interests: Lindquist investigates emotion construction theory, the neurobiological underpinnings of affect, interoception, and cultural influences on emotion semantics. Her work bridges cognitive, social, and developmental psychology with neuroscience, emphasizing interdisciplinary methods. Recent studies explore how language shapes emotional understanding and the impact of aging on physiological-emotional linkages. Key Contributions: Developed the theory of constructed emotion, challenging traditional discrete emotion models. Conducted large-scale meta-analyses mapping brain networks underlying emotion. Explored cultural variation in emotion semantics using linguistic and neuroimaging data. Labs/Teams: Her Affective Science Lab at OSU will continue investigating emotion’s neural and cultural foundations, with a focus on translational applications in mental health and education.

• Neuroimaging
• Obesity
• Ingestive behavior
• +۴ مورد دیگر

Dana Small, PhD is a Senior Scientist at the RI-MUHC and Professor in the Department of Neurology and Neurosurgery at McGill University . Her research is centered in the Metabolic Disorders and Complications Program within the Centre for Translational Biology . Her research focuses on understanding how body and mind work together to optimize behavior, particularly through neuroimaging, metabolic, and behavioral studies of ingestive behavior. She investigates how modern food environments affect brain evolution and eating behavior. The 15 most recent publications show a consistent focus on food reward mechanisms (2025), nutrient-brain interactions (2024), addiction-genetics relationships (2023), and neural processing of taste and reward (2020-2023). These works appear in high-impact journals like Cell Metabolism and Science .

Brendan E. Depueمشاهده پروفایل

دانشیار

• Cognitive Neuroscience
• Neuroimaging
• Emotional Memory
• +۳ مورد دیگر

Brendan E. Depue, Ph.D., is an Associate Professor and Endowed Chair of Behavioral Brain Imaging and Neurobiology in the Department of Psychological and Brain Sciences at the University of Louisville. He also serves as an Affiliate Assistant Professor in the Department of Anatomical Sciences and Neurobiology. His research focuses on the neuroanatomical substrates of inhibitory and cognitive control, particularly within the prefrontal cortex (PFC), using neuroimaging techniques such as fMRI and structural MRI. Depue’s work explores emotional memory regulation, PTSD, anxiety, and decision-making processes. Depue earned his Ph.D. in 2009 from the University of Colorado at Boulder. His lab, the (N)euro(I)maging (L)aboratory of (C)ognitive, (A)ffective and (M)otoric Processes (NILCAMP), investigates how brain networks regulate cognitive, emotional, and motor functions. His research has identified key neural correlates of memory suppression in PTSD, structural covariance differences in depression, and gender-specific neural connectivity during emotion regulation. Recent publications highlight his exploration of fear learning mechanisms, neural networks underlying interoceptive awareness, and the translational potential of the bed nucleus of the stria terminalis in anxiety research. Depue’s interdisciplinary approach integrates clinical neuroscience with advanced imaging methodologies to address complex mental health challenges.

Mikail Rubinovمشاهده پروفایل

استادیار

• Network Neuroscience
• Computational Neuroscience
• Brain Connectivity
• +۴ مورد دیگر

Mikail Rubinov serves as Assistant Professor of Biomedical Engineering (primary appointment), Computer Science, Psychiatry, and Psychology at Vanderbilt University's School of Engineering. His interdisciplinary work bridges computational neuroscience, network science, and clinical applications. His research focuses on integrative statistical models of large-scale neural data , exploring brain network organization across species and scales. Key interests include evolutionary principles of brain networks, transcriptomic basis of neural individuality, information transfer in neural systems, and neuropsychiatric connectivity phenotypes. The Rubinov Lab develops computational frameworks for analyzing complex neural systems and integrates neuroscientific knowledge with multi-omics data. Recent publications reveal strong trends in network neuroscience methodology development (circular analysis frameworks, unbiased sampling techniques) and translational applications (epilepsy networks, autism spectrum connectomics, gut-brain axis interrogation). His work increasingly incorporates transcriptomic data with neuroimaging at biobank scale. NIH Grant Writing Workshop (June 2022) NIH Workshop Short Talks (April 2023) Rubinov actively mentors graduate and undergraduate students across Biomedical Engineering and Computer Science. His lab maintains collaborations with UCSF, HHMI Janelia Research Campus, Weizmann Institute, and international neuroscience consortia. Current projects include integrative models of large-scale neural data and transcriptomic basis of neural individuality. The Rubinov Lab operates within Vanderbilt's Department of Biomedical Engineering with extensive cross-school collaborations. Technical resources include GitHub repositories for constraint network models (cnm-code), volumetric segmentation (voluseg), and brain connectivity toolboxes.

Sophie Schwartzمشاهده پروفایل

استاد

• Sleep Neuroscience
• Cognitive Neuroscience
• Neuroimaging (fMRI, hd-EEG, MEG)
• +۷ مورد دیگر

Prof. Sophie Schwartz is a leading neuroscientist at the University of Geneva , where she heads the Sleep & Cognition Lab within the Faculty of Medicine . Her research integrates neuroimaging (fMRI, hd-EEG, MEG) , behavioral testing , and computational modeling to unravel the neural mechanisms underlying memory consolidation , emotion processing , and dreaming during sleep, while also developing clinical interventions to enhance sleep in neurological and psychiatric disorders.

Frederike Petzschnerمشاهده پروفایل

استادیار

• Computational Psychiatry
• Decision Making
• Interoception
• +۷ مورد دیگر

Dr. Frederike Petzschner is an Assistant Professor at the Department of Psychiatry and Human Behavior and the Carney Institute for Brain Science at Brown University. She directs the Carney Brainstorm Program, focusing on translating computational brain science to clinical and commercial applications. Her research explores embodied intelligence, emphasizing the bidirectional brain-body interactions that influence perception, emotion, and well-being. Education: PhD in Systemic Neuroscience from Ludwig-Maximilians University Munich (2013) MS in Physics with Honors from University of Würzburg (2009) BS in Physics from University of Würzburg (2008) Research Interests: Frederike integrates mathematical models, behavioral experiments, and brain imaging to study brain-body-world dynamics in healthy individuals and patients with psychosomatic symptoms, Disordered Gambling, Obsessive-Compulsive Disorder, and Chronic Pain. Her work spans Computational Psychiatry, Interoception, and Neuroimaging. Trends in Publications: Recent articles analyze belief formation in mental health, reward processing, and spatial cognition. These studies employ computational modeling, behavioral neuroscience, and translational approaches to address clinical and cognitive challenges. Scientific Awards: MIT Prize (2024) Pitch Competition Winner for SOMA App (2023) Leadership and Collaborations: She leads the Carney Brainstorm Program and collaborates with institutions like the University of Zurich and ETH Zurich. Her work intersects with digital ecology through membership in Germany’s national council for digital ecology (Rat für digitale Ökologie) and global engagement via the WEF Global Shapers alumni network.

Maria Gendronمشاهده پروفایل

استادیار

• Emotion Perception
• Cultural Psychology
• Affective Neuroscience
• +۳ مورد دیگر

Maria Gendron is an Assistant Professor in the Department of Psychology at Yale University, where she directs the Affective Science and Culture Lab. Her research examines how emotions emerge through dynamic interactions between social, cognitive, and cultural systems, challenging universalist perspectives on emotion. She employs multidisciplinary methodologies including neuroimaging meta-analyses, cross-cultural fieldwork with indigenous communities, and ambulatory physiological assessments. Research Focus : Dr. Gendron investigates: The role of conceptual/semantic systems in constructing emotional experiences Cultural variation in emotion perception across diverse societies Bio-behavioral synchrony in emotion development Linguistic influences on affective processing Her work integrates frameworks from affective neuroscience and cultural psychology to understand emotion diversity. Publication Trends : Her 15 most recent articles (2010-2025) focus on deconstructing emotion universality through cross-cultural comparisons, with recurring themes of: Cultural relativity in facial/vocal emotion interpretation Language as a contextual framework for emotion Conceptual and semantic mechanisms underlying affect Methodological innovations for studying emotion diversity Lab Leadership : She directs the Affective Science and Culture Lab at Yale, advancing research on emotion perception using multimodal approaches including behavioral experiments, physiological monitoring, and fieldwork.

Christopher John Rozellمشاهده پروفایل

استاد

• Computational Neuroengineering
• Artificial Intelligence
• Neuroscience
• +۷ مورد دیگر

Christopher John Rozell is the Julian T. Hightower Chaired Professor in the School of Electrical and Computer Engineering at the Georgia Institute of Technology's College of Engineering. He serves as Executive Director of the Institute for Neuroscience, Neurotechnology & Society (INNS) and directs the Sensory Information Processing Lab (SIPLab). His research bridges computational neuroscience, machine learning, and neurotechnology, with clinical applications in treatment-resistant depression and neuromodulation therapies. Education: B.S.E. in Computer Engineering & B.F.A. in Music, University of Michigan (2000) M.S. and Ph.D. in Electrical Engineering, Rice University (2002, 2007) Postdoctoral Scholar, Redwood Center for Theoretical Neuroscience, UC Berkeley Research Focus: Dr. Rozell's interdisciplinary work spans computational neuroengineering, theoretical neuroscience, and artificial intelligence. He develops data analysis tools inspired by neural processing and creates therapeutic neurotechnologies. Key areas include: computational psychiatry (developing DBS therapies for depression), neural dynamics modeling, brain-computer interfaces, and societal impacts of neurotechnology. His lab focuses on high-dimensional data analysis, neural coding principles, and scalable neuromodulation approaches. Publication Trends (2023-2025): Recent works concentrate on deep brain stimulation mechanisms for depression, computational modeling of neural/autonomic dynamics, and machine learning applications in neuroscience. Dominant themes include biomarker discovery for treatment response, neural interoception modulation, probabilistic modeling of latent states, and brain-computer interface taxonomy. Clinical translation of neurotechnology is a consistent focus across publications. Awards & Honors: Elected AIMBE Fellow (2025) NIH BRAIN Initiative Photo/Video Award (2024) Congressional Panelist for BRAIN Initiative 10th Anniversary (2024) Sigma Xi Best Faculty Paper (2024) Neuro Open Science International Prize (2022) W. Howard Ector Outstanding Teacher Award (2019) McDonnell Foundation 21st Century Science Award (2014) NSF CAREER Award (2014) Leadership & Training: Dr. Rozell co-founded Neuromatch, Inc. to build global computational neuroscience communities. He advises Motif Neurotech and the Institute of Neuroethics. His mentees have received prestigious fellowships (Schmidt, Fulbright, NIH K99/R00) and hold leadership positions across academia and industry. Research is supported by NIH BRAIN Initiative, NSF, and private foundations. Labs & Initiatives: Directs the Sensory Information Processing Lab (theoretical neuroscience/neuroengineering) and the Institute for Neuroscience, Neurotechnology & Society (addressing ethical/societal implications). Neuromatch promotes open, accessible computational neuroscience training globally.

Robert D. Zettleمشاهده پروفایل

استاد

• Contextual Behavioral Science
• Acceptance and Commitment Therapy
• Clinical Psychology
• +۴ مورد دیگر

Robert D. Zettle is a Professor of Psychology in the Clinical-Community Psychology Program at Fairmount College of Liberal Arts and Sciences, Wichita State University. He directs the Contextual Behavioral Science Lab and teaches Abnormal Psychology, Cognitive Behavioral Therapy, and Ethical and Professional Issues in Clinical Psychology. Dr. Zettle's educational background includes: Ph.D. in Psychology from University of North Carolina-Greensboro (1984) M.A. in Psychology from Bucknell University (1976) B.A. in Psychology from Wilkes College (1974) His research centers on Contextual Behavioral Science , examining how languaging and verbal behavior contribute to human suffering. Key areas include: Developing measures of psychological flexibility and self-as-context Experimental manipulation of processes in anxiety and mood disorders Comparing traditional CBT with Acceptance and Commitment Therapy (ACT) for depression Investigating mechanisms like defusion and acceptance in ACT Current projects focus on dissociative symptom induction, mood-enhancing versus value-congruent behavioral activation, and client treatment preferences in spider fear interventions. Dr. Zettle's recent publications (2019-2025) reveal a strong emphasis on self-as-context measurement , cross-cultural adaptations of ACT tools, and depression relapse prevention . His work increasingly integrates attention bias modification with ACT and explores client preference dynamics, while expanding applications to university counseling centers and international contexts. He mentors graduate students including Nakisha Carrasquillo, Angela Cathey, Suzanne Gird, Angie Hardage-Bundy, Sarah Staats, and Jeff Swails. His research is supported by ongoing projects in the Contextual Behavioral Science Lab investigating core ACT processes and clinical applications. The Contextual Behavioral Science Lab, directed by Dr. Zettle, maintains a collaborative team environment focused on both experimental psychopathology and clinical treatment development. Current work spans measurement validation, interoceptive exposure techniques, and comparative treatment studies for depression and anxiety disorders.