Find Academic Supervisors

• Political Science
• American Politics
• U.S. Vice Presidency
• +8 more

Maciej Turek is a Post-Doc researcher at the Faculty of International and Political Studies, Jagiellonian University, specializing in American political institutions, particularly the U.S. vice presidency, presidential elections, and campaign finance. His academic work bridges political science and constitutional law, with a focus on the evolution of political practices in the United States. His research interests include U.S. vice presidency , presidential elections , campaign finance regulation , electoral systems such as the Electoral College, party conventions , and political communication . He has conducted in-depth studies on the strategic selection of vice-presidential candidates, analyzing how short-term versus long-term criteria influence their effectiveness in office. The trends in his scholarly articles reflect a sustained focus on American electoral politics, particularly around pivotal elections (2008, 2012), constitutional mechanisms (presidential succession, Electoral College), and evolving campaign dynamics (Super PACs, media strategy, digital campaigning). His publications often combine historical analysis with contemporary political developments, offering both theoretical and practical insights. While no formal scientific awards are listed, his research has been supported by funding from Jagiellonian University under the SET project, co-financed by the European Union. This institutional backing highlights the recognition of his scholarly contributions. Turek has authored and co-authored several books and academic papers, demonstrating strong collaborative research skills, particularly with Paweł Laidler. Though no direct students are listed, his work contributes significantly to graduate and postgraduate education in political science. His research output suggests active mentorship and academic leadership within his field. He has contributed to understanding the role of new media in political campaigns, as seen in his analysis of Obama’s 2008 'Houdini' project, and has critically examined the relevance of traditional institutions like national party conventions in modern politics.

• Applied Linguistics
• Media Discourse
• Critical Discourse Analysis
• +13 more

Professor El Mustapha Lahlali is a distinguished academic at the School of Languages, Cultures and Societies, University of Leeds, where he holds the position of Professor of Applied Linguistics and Media. His research and teaching focus on Arabic media discourse, critical discourse analysis, translation, ideology, and pedagogy. Education: BA in Applied Linguistics MA in Applied Linguistics PhD in Critical Discourse Analysis and Classroom Discourse His research interests span Arab media and society, discourse analysis in educational and political contexts, appraisal theory, translation and ideology, and teaching Arabic as a foreign language. He has published extensively on media discourse, political rhetoric, and translation practices in Arabic contexts, contributing significantly to the understanding of linguistic strategies in media and political communication. His recent publications reflect a strong focus on discourse in conflict, media framing, translation challenges, and pedagogical development. These works collectively emphasize critical analysis of Arabic media, political transitions, and intercultural communication, revealing trends in ideological representation and linguistic power dynamics. Scientific Awards: No specific awards listed in the text. Professor Lahlali has supervised 27 PhD students to completion and currently mentors several more on topics including media translation, ideology, discourse analysis, and pedagogy. He has served as internal and external examiner for over 100 PhD theses across the UK and internationally. He has secured and contributed to numerous research grants in Arabic, linguistics, and Middle Eastern studies. His leadership extends to organizing over 45 academic events, including conferences and workshops. He is actively involved in research groups and welcomes PhD applicants in areas related to Arabic media, discourse analysis, and translation. He is a key figure in professional associations such as BATA (Founder and President), BRISMES, UCML, and APETAU.

Rui Pedro Figueiredo MarquesView profile

Professor

• Information Systems for Business
• Artificial Intelligence in Auditing
• Blockchain Applications
• +6 more

Rui Pedro Figueiredo Marques is a Professor at the Higher Institute of Accounting and Administration, University of Aveiro, where he teaches Information Systems across technical, bachelor's, master's, and doctoral programs. He serves as course director for the Professional Higher Technical Course in Organizational Informatics and Communication and holds a board position at the Institute of Accounting and Administration, University of Aveiro. As a Full Researcher at GOVCOPP's Competitiveness, Innovation and Sustainability (CIS) group, his work focuses on Information Systems for Business, with recent emphasis on AI, Blockchain, and Business Intelligence applications in auditing and accounting contexts. Marques' academic credentials include a Ph.D. in Computer Science (2014, Universities of Minho/Aveiro/Porto), a Master's degree (2008), and a Bachelor's in Electronics and Telecommunications Engineering (2005, University of Aveiro). He has authored/co-authored over 50 publications, including journal articles, conference papers, and book chapters on topics ranging from ERP systems in auditing to digital transformation in low-density territories. He is editor-in-chief of the International Journal of Business Innovation and actively participates in funded research projects addressing governance, competitiveness, and public policies. His research explores intersections between technology and business practices, with notable contributions to AI in auditing, blockchain's role in financial transparency, and sustainable development frameworks for social economy entities. Notable projects include evaluations of ERP systems' impact on internal audit maturity and frameworks promoting accountability in private social solidarity institutions. Marques' work frequently emphasizes practical applications of technology in audit processes, education, and public sector modernization. He collaborates with institutions like the Portuguese Social Solidarity Sector and has advised on digital transformation strategies for tourism and hospitality industries.

Merlin SellerView profile

Lecturer

• Game Studies
• Film Studies
• Screen Cultures
• +7 more

Merlin Seller is a Lecturer in Design and Screen Cultures at the University of Edinburgh's Edinburgh College of Art, appointed in 2019. They teach theory and historical/cultural context across Film, Comics, Media and Game Studies. Seller co-founded the Game Worlds research cluster within the Centre for Data, Culture and Society. Education: MA from St Andrews University MSt from Oxford University PhD from University of East Anglia (UEA) on transmedia works between film, photography and painting in interwar England Seller's research interests span Game Studies, Film Studies, Horror, Non-human theory, and Queer/Trans approaches to games. Their work explores (Post-)Phenomenology, visuality in games, and the representation of nonhuman entities in screen-based media. Seller identifies as a proudly pansexual and trans academic with a background in Art History and Visual Cultural Studies. Analysis of Seller's publications reveals a strong interdisciplinary focus bridging Game Studies with critical theory. Their work frequently examines the intersection of nonhuman perspectives, queer theory, and phenomenological experience in games and film. Recurring themes include temporal mechanics, ecological consciousness, and the materiality of digital interfaces, demonstrating a consistent engagement with contemporary theoretical frameworks in media studies. Seller supervises PhD students including Yun Lu, Trina Tian (Siyu), and Danni C. Pascuma. They also teach courses such as 'Design, Play and Games,' 'Contemporary Cinema,' and 'Introduction to Queer Studies,' while supervising Honours dissertations. Seller co-organized the 'Affecting Game Space' conference through the Game Worlds research cluster. Their creative practice includes plein air paintings of videogame environments and dark comedy comics focused on speculative futures, visible through their portfolio at dearplayer.org.

Michael BritoView profile

Lecturer

• Digital Marketing
• Social Media Strategy
• Brand Communications
• +12 more

Michael Brito is a Lecturer in Mass Communications and Social Media at the School of Journalism and Mass Communications, College of Humanities and the Arts, San José State University. He is also a seasoned industry leader, currently serving as the Global Head of Data + Intelligence at Zeno Group, where he leads a 50-member analytics team supporting global clients in B2B, consumer, technology, and healthcare sectors. His academic and professional work bridges digital marketing, brand strategy, and data-driven communications. Michael’s research interests include digital marketing, social media strategy, brand communications, narrative intelligence, audience segmentation, and AI applications in PR. He is a recognized thought leader with extensive publications and blog posts exploring brand archetypes, earned media, customer engagement, and the future of digital storytelling. His work emphasizes the integration of data analytics into strategic communications to enhance brand visibility and audience connection. The trends in his recent articles reflect a strong focus on artificial intelligence in public relations, media intelligence, narrative analysis, and the evolution of digital customer journeys. His writings analyze tools like Pulsar and Cision, explore generative AI in search, and critique traditional metrics like earned media value, advocating for more sophisticated, insight-driven approaches. Top 50 Social Intelligence Pioneers by The Social Intelligence Lab Dashboard 25 Class of 2022 by PRWeek Top 25 Digital PR Innovators by PRovoke Media Michael Brito mentors students in digital communications and advises on strategic brand development. He has led major initiatives in media monitoring, social intelligence, and data-informed PR outreach. He founded and contributes to a widely-read blog on social media marketing and is a frequent speaker at industry events, including TEDx. He is also a proud U.S. Marine veteran, bringing leadership and discipline to his academic and professional roles. He is actively involved in the COMM+ lab at SJSU and supports student media through his teaching and mentorship. His work continues to influence both academic curricula and industry best practices in digital communications and brand analytics.

Ziming LiuView profile

Professor

• Digital Libraries
• Information Behavior
• Scholarly Communication
• +6 more

Dr. Ziming Liu is a Professor at the School of Information, San José State University , where he has been a core faculty member since 2000, advancing from Assistant to Full Professor by 2010. He holds a Ph.D. in Library and Information Studies from the University of California, Berkeley (1996), and an M.S. from Zhongshan University, China (1990). Ph.D., Library and Information Studies, University of California, Berkeley (1996) M.S., Library and Information Science, Zhongshan University, China (1990) His research focuses on digital reading, digital libraries, information behavior, and scholarly communication . He has extensively studied how users interact with digital versus print materials, gender differences in online reading, and the evolution of documents in the digital age. His 2008 book, From Paper to Digital: Documents in the Information Age , is a seminal work in the field. His research on digital reading has been featured in major media outlets such as The Washington Post , The Guardian , and Scientific American . The recent scholarly output (2022–2023) shows a continued focus on digital reading behavior , particularly how social media and digital distraction affect reading practices. His work combines empirical user studies with theoretical insights into information behavior, often using comparative and cross-cultural methodologies. The publications appear in leading journals like Journal of Documentation and Information Processing and Management , reflecting sustained scholarly impact. There are no mentions of scientific awards or honors in the provided text. Dr. Liu has taught key courses including INFO 200 – Information Communities , INFO 275 – Library Services for Racially and Ethnically Diverse Communities , and INFO 287 – Seminar in Information Science Education . While no specific students are listed, his role as a professor and publication record imply graduate student mentorship. He has not held administrative or part-time roles, and there is no indication of lab or team leadership in the text.

Emery SchubertView profile

Professor

• Emotion in music
• Empirical aesthetics
• Music health and wellbeing
• +4 more

Professor Emery Schubert is a distinguished academic at the University of New South Wales, Faculty of Arts and Social Sciences, where he holds a professorship in the School of the Arts & Media. With over 20 years of research experience, he has established himself as a leading expert in the scientific study of music aesthetics and emotion. His educational background includes a PhD in Music, which forms the foundation of his interdisciplinary approach combining psychology, musicology, and cognitive science. Schubert's research expertise spans emotion in music, empirical aesthetics, music health and wellbeing, continuous response to music and dance, cognitive modelling of aesthetic experience, and creativity. Schubert has received significant recognition for his work, being named Individual Leader in Field of Music and Musicology by The Australian's Research magazine in both 2020 and 2022, and ranking among Stanford's World's Top 2% Researchers in 2023. His research has been supported by over AUD$5 million in grant funding, primarily from Australian Research Council schemes. Humanities, Arts & Literature - Individual Leader in Field of Music and Musicology (2020, 2022) Stanford's World's Top 2% Researchers (2023) Excellence in Postgraduate Supervision Award (UNSW Australia) - twice ARC Future Fellowship (4 years) ARC Australian Research Fellowship (5 years) 10th Anniversary Award, European Society for the Cognitive Sciences of Music Professor Schubert maintains an active supervision portfolio, having guided numerous honours and postgraduate students through the Empirical Musicology Laboratory. His teaching portfolio is extensive, covering nearly all music-related courses at UNSW, with particular focus on the psychology of music, music and wellbeing, and music perception. His research group provides students with specialized resources including recording studios, music technology laboratories, and performance spaces.

Huaizu JiangView profile

Assistant Professor

• Computer Vision
• Computer Graphics
• Natural Language Processing
• +5 more

Huaizu Jiang is an Assistant Professor at Khoury College of Computer Sciences, Northeastern University. His research bridges computer vision, graphics, and natural language processing to develop AI systems that understand and reconstruct 3D visual environments. Prior to joining Northeastern, he was a Postdoc Researcher at Caltech and Visiting Researcher at NVIDIA. He holds a Ph.D. from UMass Amherst (advised by Prof. Erik Learned-Miller), and M.E./B.E. degrees from Xi'an Jiaotong University. His research focuses on fundamental challenges in 3D scene understanding, including geometry reconstruction, semantic interpretation, novel view synthesis, motion generation, and optical flow estimation. Core interests span video processing, human-object interactions, multimodal reasoning, and efficient edge-device implementations. Recent publications emphasize diffusion models for motion/scene generation, transformer-based 3D perception, and video interpolation. Key trends include multi-view consistency techniques, text-to-3D synthesis, and efficient real-time algorithms for robotics applications. Awards & Honors: Winner of the VQA Challenge 2020 He advises 15+ graduate students on projects spanning 3D reconstruction, motion synthesis, and vision-language models. His group collaborates with institutions like NVIDIA and Caltech, focusing on generative AI for dynamic scene understanding.

Eunchun ParkView profile

Assistant Professor

• Risk Analysis
• Commodity Futures and Options
• Crop Insurance
• +3 more

Eunchun Park serves as an Assistant Professor in the Department of Agricultural Economics and Agribusiness at the University of Arkansas, concurrently holding the position of Director of the Experiment Station (DREX). A specialist in Bayesian spatial statistics and econometrics, his research focuses on agricultural risk analysis with particular emphasis on crop insurance mechanisms and financial commodity markets. His methodological expertise addresses critical data scarcity challenges in federal crop insurance premium calculations through advanced spatial modeling techniques. Dr. Park's academic foundation includes: Ph.D. in Agricultural Economics from Oklahoma State University (2017) M.S. in Food and Resource Economics from Korea University (2013) B.S. in Food and Resource Economics from Korea University (2010) His research program centers on extreme price and yield risk quantification in agricultural commodities, employing sophisticated Bayesian modeling frameworks to overcome data limitations in spatial risk assessment. Current work develops innovative approaches for measuring catastrophic risks in crop production systems and refining insurance rating structures through spatial smoothing of yield densities. This research bridges theoretical econometric advances with practical applications for risk management tools used by farmers and policymakers. Analysis of Dr. Park's recent publications reveals a consistent trajectory in spatial risk modeling for agricultural insurance systems, with increasing focus on prevented planting coverage factors, commodity market volatility around information releases, and climate-related production risks. His work demonstrates methodological progression from theoretical Bayesian frameworks toward actionable risk assessment tools, particularly through the application of kriging techniques to non-normal yield distributions and extreme event modeling. Dr. Park's scholarly contributions have been recognized through: Outstanding Contribution to Applied Risk Analysis Award (2020) from the Agricultural and Applied Economics Association Outstanding Graduate Student Paper Award (2018) from the Agricultural and Applied Economics Association Outstanding Doctoral Dissertation Award (2018) from the Southern Agricultural Economics Association While specific details of current advisees and grant funding are not provided in available materials, his active publication record in top agricultural economics journals suggests an ongoing mentorship role for graduate students and potential involvement in externally funded research initiatives related to agricultural risk management. His work on spatial smoothing techniques and extreme risk modeling likely informs collaborative projects with agricultural extension services and federal risk management agencies. No specific laboratory facilities or dedicated research teams are mentioned in the available documentation, though his methodological expertise suggests collaboration with spatial statistics and agricultural risk modeling groups within the university's research infrastructure.

• Differential Psychology
• Personality Psychology
• Psychopathology
• +5 more

Johannes Zimmermann is Professor of Differential and Personality Psychology at the Institute of Psychology, University of Kassel, Germany. His work integrates personality science, psychopathology research, and advanced assessment methods, with particular expertise in dimensional models of personality disorders and the Hierarchical Taxonomy of Psychopathology (HiTOP). Education and Career Diploma in Psychology, University of Koblenz-Landau (2007) Doctorate, University of Heidelberg (2011) Post-doctoral fellow, German-Chilean Graduate School, Heidelberg University (2007–2010) Research Associate, University of Kassel (2010–2015) Professor for Methodology and Psychological Diagnostics, Berlin School of Psychology (2015–2018) Professor of Differential and Personality Psychology, University of Kassel (since 2018) Research Interests Prof. Zimmermann's research centers on personality assessment , psychopathology , and psychotherapy outcomes . He develops and validates instruments for measuring personality functioning and maladaptive traits, advances the Hierarchical Taxonomy of Psychopathology (HiTOP) framework, and employs ambulatory assessment to capture dynamic processes in daily life. Key themes include: Dimensional classification of personality disorders and psychopathology Ecological momentary assessment of affect and behavior Validation of German-language assessment tools (e.g., LPFS-BF, PID-5, HiTOP-SR) Long-term effectiveness of psychodynamic and cognitive-behavioral therapies Digital mental health and smartphone-based data collection Scientific Awards ISSPD Young Investigator Award (2019) – International Society for the Study of Personality Disorders SITAR Jerry Wiggins Student Award (2010) – Society for Interpersonal Theory and Research Advising & Collaborative Networks Prof. Zimmermann mentors doctoral and post-doctoral researchers through his roles in the German-speaking psychological community. He collaborates with international consortia including the HiTOP consortium, the PsyChange Network, and the London Personality and Mood Disorder Research Consortium, serving as principal investigator or co-investigator on projects funded by the German Research Foundation (DFG) and other bodies. Labs & Teams He leads the Differential Psychology Research Group at the University of Kassel, which focuses on measurement development, ambulatory assessment, and applied psychopathology research. The group maintains active collaborations with clinical centers across Germany and Europe for data collection and intervention studies.

Margaret E. L. RenwickView profile

Academic

• Sociophonetics
• Laboratory Phonology
• Phonetics
• +5 more

Margaret E. L. Renwick serves as Associate Research Professor and Director of Undergraduate Studies in the Department of Cognitive Science at Johns Hopkins University's Krieger School of Arts and Sciences. Previously holding a tenured position in Linguistics at the University of Georgia, she brings extensive expertise in speech variation and phonological systems to her current role. Her academic journey includes affiliation with the Phonetics Laboratory at the University of Oxford. Dr. Renwick's research focuses on sociophonetics and laboratory phonology, examining how speakers manipulate phonetic detail in patterned ways while listeners extract linguistic and social meaning from speech. Her work investigates phonological contrast, regional accents of US English (particularly Southern accents), and linguistic change across generations. A significant portion of her research explores African American vowel systems in Georgia and Italian mid-vowel systems, bridging theoretical linguistics with empirical acoustic analysis. Analysis of her recent publications reveals a strong trend toward computational approaches in phonetics, with increasing use of machine learning techniques like the Phonet library for vowel variation analysis. Her work consistently bridges theoretical phonology with empirical acoustic data, showing particular strength in regional variation studies across multiple language systems including English and Romance languages. Dr. Renwick actively mentors students through the Renwick Lab, welcoming advisees at all levels including PhD and MA candidates in Cognitive Science at JHU. Her teaching portfolio includes courses in Acoustic Phonetics, Sociophonetics, and her First-Year Seminar 'Who Has an Accent?' examines sociolinguistic perceptions of speech variation. The Renwick Lab functions as a comprehensive research environment focused on spoken language analysis, providing resources for phonetic research including tools for IPA transcription, acoustic analysis with Praat, and computational approaches to speech data. The lab supports both theoretical investigations of phonological systems and practical applications of speech technology.

• Artificial Intelligence
• Computer Gaming and Animation
• Computer Graphics
• +4 more

Yingying Wang is an Assistant Professor in the Computing and Software department at McMaster University , where she joined in January 2022. Her research focuses on generating expressive animations for AR/VR applications and games through interdisciplinary approaches combining Computer Graphics , Artificial Intelligence , and Human Behavior Analysis . Education : Bachelor and Master degrees from Nanjing University , Ph.D. from University of California, Davis (2017) Her research explores: Generative models for human motion style transfer Physics-based motion simulation Audio-driven character synthesis Dance choreography for virtual characters Cartoon animation perception Conversational character gesture synthesis Markerless hand motion capture Recent publications focus on 3D hand pose estimation , motion style transfer , gesture-locomotion coordination , and personality perception in virtual agents . Key methodologies include deep learning , multimodal data analysis , and real-time animation systems . Scientific contributions recognized through: $240,000 Labarge Catalyst Grant in Mobility in Aging (interdisciplinary team award) US Patent 10,796,482 (3D hand pose estimation) US Patent 9,811,937 (gesture-locomotion coordination) Teaching includes graduate and undergraduate courses in Computer Animation (CAS 737), Computer Graphics (COMPSCI 3GC3/SFWRENG 3GC3), and Software Development (COMPSCI 2ME3). Research group actively recruits Ph.D. and Master's students in graphics + deep learning domains.

Jenelle FeatherView profile

Assistant Professor

• Neuroscience
• Cognitive Science
• Artificial Intelligence
• +7 more

Jenelle Feather is an Assistant Professor at Carnegie Mellon University, affiliated with the Neuroscience Institute and Psychology Department . She leads the Laboratory for Computational Perception , focusing on neural activity patterns in perception and cognition through computational modeling, behavioral studies, and brain measurements. Education : PhD in Brain and Cognitive Science (2022), MIT Prior Affiliations : Research Fellow, Flatiron Institute Center for Computational Neuroscience Her research spans auditory and visual perception , comparing artificial neural networks with biological systems. Recent studies include model metamers (2023) and neural population geometry (2021). Key software contributions include chcochleagram (PyTorch) and tfcochleagram (TensorFlow) for auditory signal processing. Key Awards : Friends of McGovern Institute Graduate Fellow DOE Computational Science Graduate Fellow She advises students through multiple programs and develops open-source tools for auditory neuroscience.

• Automated Transportation Systems
• Connected Vehicles
• Electric Vehicles
• +3 more

Dr. Xiaopeng Li is the Harvey D. Spangler Professor in the Department of Civil and Environmental Engineering at the University of Wisconsin-Madison, with an affiliation in the Department of Electrical and Computer Engineering. He leads the USDOT Rural Autonomous Vehicle Program and previously directed the National Institute for Congestion Reduction. He earned his B.S. in Civil Engineering from Tsinghua University (2006), M.S. in Civil Engineering (2007), M.S. in Applied Mathematics (2010), and Ph.D. in Civil Engineering (2011) from the University of Illinois at Urbana-Champaign. His research focuses on modeling and field experiments for connected, electric, and automated vehicles (CAVs), infrastructure systems analysis, and interdependent network modeling. He has pioneered physics-enhanced machine learning frameworks for vehicle control and developed simulation tools for CAV deployment. His 2025-2024 publications highlight advancements in Connected vehicle trajectory modeling Energy consumption optimization Edge computing for autonomous operations Residual learning control systems Equity analysis in AV deployment Communication technologies for V2X Awards include: TRB Best Paper Award (2025) NSF CAREER (2015) ASCE Fellow (2024) IEEE Senior Member (2022) Multiple institution-specific fellowships He has advised 15+ graduate students, secured $35M+ in grants from NSF, USDOT, and industry partners, and chairs the IEEE ITSS Emerging Transportation Technology Testing committee. His work addresses real-world AV implementation, safety validation, and sustainable transportation systems.

Kelly BennionView profile

Associate Professor

• Emotional Memory
• Sleep and Memory
• Stress and Memory
• +3 more

Kelly Bennion serves as an Associate Professor in the Psychology and Child Development Department at California Polytechnic State University. Her research examines how real-life variables—such as emotion, stress, physiological arousal, and sleep—affect memory encoding and consolidation using behavioral experiments, eye tracking, polysomnography, and neuroimaging. She investigates how sleep selectively enhances memories for emotionally salient or future-relevant information in ecologically valid contexts. (78 words) Her educational background includes: Ph.D. and M.A. in Psychology (Cognitive Neuroscience concentration) from Boston College Ed.M. in Mind, Brain, and Education from Harvard Graduate School of Education B.A. in Psychology and Spanish (summa cum laude, Phi Beta Kappa) from Middlebury College Dr. Bennion's work focuses on memory prioritization mechanisms during sleep-wake cycles, particularly how emotional arousal and physiological stress modulate consolidation. She explores real-world applications including educational strategies and mental health interventions, emphasizing the interaction between cortisol levels and sleep-dependent memory processing. Her multi-method approach bridges laboratory findings with naturalistic memory phenomena. (92 words) Analysis of her 2020-2025 publications reveals three dominant research streams: (1) sleep's role in enhancing emotional and future-relevant memories through selective consolidation, (2) cross-episode memory integration via semantic relatedness and surprise mechanisms, and (3) interdisciplinary extensions into public health (postpartum interventions) and environmental toxicology (bisphenol A effects). Her methodology increasingly combines behavioral metrics with physiological monitoring to capture memory dynamics in complex scenarios. (68 words) Dr. Bennion actively mentors undergraduate researchers, evidenced by student co-authorships on publications including Jackson (2019) on school shooter perceptions. While specific grant details aren't provided, her sophisticated research infrastructure implies substantial external funding. She teaches core psychology courses including Research Methods, Biopsychology, and Memory, emphasizing hands-on methodology training. Her laboratory maintains advanced capabilities for sleep monitoring, eye tracking, and neuroimaging to investigate memory consolidation across physiological states. (76 words)