Jeannette Bohg is an Assistant Professor of Computer Science at Stanford University, directing the Interactive Perception and Robot Learning Lab. Previously, she was a group leader at the Autonomous Motion Department (AMD) of the MPI for Intelligent Systems (2012-2017). She holds a PhD from KTH Royal Institute of Technology (Stockholm) and degrees from Chalmers University and TU Dresden. Her research focuses on perception, learning, and real-time multi-modal methods for autonomous robotic manipulation and grasping, aiming to bridge principles of human sensorimotor coordination with robotic implementation. Education: PhD in Robotics (KTH), MSc in Art & Technology (Chalmers), Diploma in Computer Science (TU Dresden) Research interests include developing goal-directed, real-time robotic systems capable of meaningful feedback for execution and learning. Key areas are dexterous manipulation, imitation learning, and cross-embodiment policy transfer. Notable contributions include the TidyBot platform and work on force-aware surgical robotics. Awards include the 2019 IEEE ICRA Best Paper Award, 2019 IEEE RA Early Career Award, and 2020 RSS Early Career Award. Her lab explores intersections of robotics, ML, and computer vision. Advising: Actively mentoring students/postdocs in manipulation, perception, and learning. Grants and collaborations span NSF, Stanford AI Lab, and industry partnerships. Future work emphasizes robust real-world deployment and human-robot collaboration. Labs/Teams: Leads the Interactive Perception and Robot Learning Lab, contributing to Stanford’s AI ecosystem. Previously managed the MPI AMD group, fostering interdisciplinary research in autonomous systems.
Henriëtte Hendriks is a Professor in Language Acquisition and Cognition at the University of Cambridge, affiliated with the Faculty of Modern and Medieval Languages and Linguistics and the Theoretical and Applied Linguistics (TAL) department. She leads the Cambridge Processing and Acquisition of Language lab (CAMPAL) and serves as Deputy Director of the Centre for Lifelong Learning and Individualised Cognition (CLIC). Education: Sinology at Leiden University Early Career: Coordinator at Max-Planck Institute for Psycholinguistics (DFG/ESF projects) Her research explores how languages encode concepts (person, time, space, causality) and their impact on language acquisition. Key themes include: Cognitive Linguistics and Language-Cognition Interfaces First and Second Language Acquisition Mechanisms Multilingualism and Cognitive Flexibility Typological Variation in Semantic Structures Deictic Terms and Dynamic Space Representation Recent publications focus on motion event typology across English, German, French, and Uyghur, examining cross-linguistic influences in acquisition processes. Her work combines experimental methods with syntactic analysis to study semantic mapping and grammaticalization in multilingual contexts. Current projects include: Centre for Lifelong Learning and Individualised Cognition (CLIC) - Principal Investigator MEITS Project (Strand 5) - Co-Investigator Cambridge Language Sciences Incubator projects on cognitive pacing and parental linguistic contributions International DeicTeS project on deictic meaning processes Labs & Teams: Cambridge Processing and Acquisition of Language lab (CAMPAL) Collaborations with Zoe Kourtzi, Vicky Leong, and Clare Hughes
Ayesha Jalal is a distinguished Professor of History at Tufts University's School of Arts and Sciences and holds a joint appointment at The Fletcher School of Law and Diplomacy. She currently serves as the Mary Richardson Professor and directs the Center for South Asian and Indian Ocean Studies. With a career spanning over three decades, Professor Jalal has established herself as a leading scholar in South Asian history, particularly focusing on Pakistan studies, the partition of India, and Muslim political thought in the region. Professor Jalal's academic journey began with a double major in History and Political Science from Wellesley College in 1978. She then pursued doctoral studies at the University of Cambridge, earning her PhD in History in 1983. Her early career included prestigious fellowships at Trinity College, Cambridge (1980-84), the Centre of South Asian Studies (1984-87), the Woodrow Wilson Center for International Scholars (1985-86), and the Harvard Academy for International and Area Studies (1988-90). Professor Jalal's research primarily centers on South Asian history with special emphasis on Pakistan, the partition of India, and Muslim political thought. Her work explores the complex interplay between religious identity, nationalism, and state formation in the region. She has made significant contributions to understanding democratic development in Pakistan, sectarian dynamics in South Asia, and the historical connections between the Indian subcontinent and the wider Indian Ocean world. Her recent scholarship has focused on 'Oceanic Islam,' examining transregional Muslim networks and universalist aspirations that transcended colonial boundaries. Professor Jalal's extensive publication record demonstrates a consistent focus on South Asian political history, with particular attention to Pakistan's formation and development. Her recent works show a progression from studies of partition and state formation toward broader examinations of Muslim intellectual history and transregional connections. The 2020-2024 publications reveal a sophisticated engagement with themes of democratic erosion, sectarianism, and the historical roots of contemporary political challenges in South Asia, while also exploring more cultural and religious dimensions through works on Muslim enlightened thought and oceanic connections. Patrus Bukhari Award for the best English language book, The Pity of Partition , Academy of Letters, Government of Pakistan (2015) Britannica Book of the Year recognition (2015) MacArthur Fellowship (1998-2003) As an educator, Professor Jalal has mentored numerous graduate students through thesis supervision and directed research projects. Her teaching portfolio includes courses on Modern South Asia, Contemporary South Asia, Islam and the West, and specialized seminars on South Asian history. She has taught at several prestigious institutions including the University of Wisconsin-Madison, Columbia University, and Harvard University before joining Tufts in 1999. In her role as Director of the Center for South Asian and Indian Ocean Studies, she has fostered interdisciplinary research and provided guidance to emerging scholars in the field. Professor Jalal directs the Center for South Asian and Indian Ocean Studies at Tufts University, which serves as a hub for interdisciplinary research on South Asia and its connections to the wider Indian Ocean world. The center facilitates collaborative projects, hosts visiting scholars, and organizes events that bridge historical, political, and cultural perspectives on the region. Under her leadership, the center has become a prominent institution for South Asian studies, promoting dialogue between academic research and contemporary policy issues.
Benedict King is a postdoctoral researcher in the Department of Linguistic and Cultural Evolution at the Max Planck Institute for Evolutionary Anthropology, where he contributes to the Comparative Oceanic Linguistics (CoOL) team. His research focuses on constructing phylogenetic trees of language relationships using Bayesian methods to explore language origins, spread, and evolutionary dynamics. He holds a BA in Natural Sciences from the University of Cambridge (UK), a PhD in Evolutionary Biology from Flinders University (Australia), and previously worked as a Postdoctoral Research Associate at Naturalis Biodiversity Center (Netherlands). King’s research interests bridge evolutionary biology, paleontology, and linguistics. He investigates evolutionary transitions in early vertebrates (e.g., placoderms, coelacanths) and applies computational models to study language evolution. His work emphasizes improving phylogenetic methodologies and integrating fossil evidence with statistical frameworks. Notable projects include analyzing Philippine language migrations and reconfiguring actinistian phylogenies through Devonian fish fossils. His publications reflect interdisciplinary strengths, combining vertebrate paleontology with linguistic phylogenetics. Recent work supports rapid Austronesian expansions and hybrid Indo-European language origins. Awards include the Oxford University Press Prize for Biosciences and recognition for his PhD publication. King actively engages in public science communication through platforms like The Conversation and GitHub repositories.
Joydeep Biswas is an Associate Professor in the Computer Science Department at the University of Texas at Austin, where he serves as the Director of the Autonomous Mobile Robotics Laboratory (AMRL). He is also affiliated with Texas Robotics, the UT Machine Learning Laboratory, and UT Good Systems. Previously, he was an Assistant Professor in the College of Information and Computer Sciences at the University of Massachusetts Amherst. Dr. Biswas earned his PhD in Robotics from Carnegie Mellon University in 2014 and his B.Tech in Engineering Physics from the Indian Institute of Technology Bombay in 2008. His educational background has provided him with a strong foundation in both theoretical and applied aspects of robotics and artificial intelligence. Dr. Biswas's research focuses on enabling long-term autonomy for mobile robots operating in human environments. His work spans robot perception, motion planning, control systems, and AI, with the ultimate goal of creating self-sufficient autonomous mobile robots that can perform tasks accurately and robustly in real-world settings. He is particularly interested in perception, planning, and failure recovery for autonomous mobile robots, which supports his vision of having autonomous service mobile robots deployed at campus-to-city scale, both indoors and outdoors, performing assistive tasks over deployments spanning years. His IJCAI 2019 Early Career Spotlight talk summarizes much of his research to date and ongoing interests. His recent research has shown a strong trend toward social navigation, human-robot interaction, and the application of machine learning techniques to robotics problems. There's a clear progression from fundamental robotics research toward more complex, real-world applications that require robots to understand and navigate human social spaces effectively. His work increasingly integrates large language models and other advanced AI techniques with traditional robotics approaches, as evidenced by his recent publications on topics like preference-conditioned navigation, social navigation benchmarks, and instruction-following navigation systems. Dr. Biswas has received numerous prestigious awards including the NSF CAREER Award (2021), J.P. Morgan Faculty Research Award (2019), Amazon Research Award (2019), and a grant from Northrop Grumman Mission Systems (2018). These awards recognize his innovative contributions to the field of robotics and autonomous systems. As a dedicated educator and mentor, Dr. Biswas actively supervises PhD and master's students, with his PhD student Sadegh Rabiee winning the student poster award at the Northrop Grumman University Symposium 2019. He has secured significant grant funding from the National Science Foundation for projects including 'Introspective Perception and Planning for Long-Term Autonomy' and 'Interactive Synthesis and Repair For Robot Programs,' demonstrating his ability to secure competitive research funding and his commitment to advancing the field. Dr. Biswas leads the Autonomous Mobile Robotics Laboratory (AMRL), which serves as a hub for interdisciplinary research in mobile robotics. The lab has developed notable resources such as the UT Campus Object Dataset (CODA) for 3D perception research and SOCIALGYM, a framework for benchmarking social robot navigation. His team regularly deploys robots on the UT Austin campus and in urban environments to test and refine their approaches in realistic settings, bridging the gap between simulation and real-world application.
Zhiyong Huang is an Associate Professor at the National University of Singapore (NUS) School of Computing. He holds multiple leadership roles, including Deputy Director of the NUS Business Analytics Centre, Director of the Computing Translational Research & Development (C-TReND) Centre, and Assistant Dean (Industry Relations). He is also a Senior Principal Investigator at the NUS Chongqing Research Institute. Education: PhD in Computer Science from École Polytechnique Fédérale de Lausanne (EPFL), MEng and BEng in Computer Engineering from Tsinghua University. Leadership: Senior Member of ACM and IEEE, Pioneer Member of ACM SIGGRAPH, and Chair of the Singapore ACM SIGGRAPH Chapter. Research Interests: His work spans Data Analytics, Machine Learning, Computer Vision, Human-Robot Interaction, and Computer Graphics. Key projects include the NUS Digital Twin initiative and secure data analytics pipelines. Article Trends: Recent publications focus on time series generation, cryptocurrency benchmarks, medical image registration, and phishing detection. These works integrate machine learning, computer vision, and multimodal systems. Scientific Awards: Finalist, World Technology Summit & Awards (Entertainment, 2010) Bronze, National Science and Technology Progress Award (1992) Tsinghua 12.9 Distinguished Young Teacher Award (1989) Grants & Service: Extensive involvement in Singapore's IT Standards Committee, review panels for EDB SIIRD projects, and editorial roles. He has served as PC co-chair, local chair, and reviewer for numerous conferences and journals.
Edward L. Shaughnessy serves as the Lorraine J. and Herrlee G. Creel Distinguished Service Professor in Early Chinese Studies and Director of Graduate Studies in the Department of East Asian Languages and Civilizations at the University of Chicago. A renowned scholar of ancient China, he specializes in archaeologically recovered texts from the Zhou dynasty period (c. 1045-249 BCE), particularly bronze inscriptions, bamboo-slip manuscripts, and the classical texts Zhou Yi (I Ching), Shang Shu, and Shi Jing. His research interests focus on the intersection of archaeological discoveries and literary traditions, with particular expertise in bronze inscriptions and the Zhou Yi. Shaughnessy has pioneered efforts to bridge Western and Chinese scholarly traditions, publishing extensively in both English and Chinese. He has written seven volumes of technical scholarship in Chinese and is currently leading an international team translating Tsinghua University's fourth-century BCE bamboo-slip manuscripts. His recent scholarly output shows strong trends in paleographic studies, with numerous publications analyzing newly excavated manuscripts. His work demonstrates a consistent focus on textual transmission, historical context, and the relationship between archaeological evidence and received literary traditions. Notable patterns include systematic analysis of bamboo-slip manuscripts, comparative studies of textual variants, and interdisciplinary approaches combining philology, archaeology, and historical analysis. Shaughnessy has received recognition through his appointment as a Distinguished Service Professor, one of the highest academic honors at the University of Chicago. His scholarly contributions have significantly advanced the field of early Chinese studies through both original research and editorial work. As an educator, Shaughnessy teaches seminars on oracle-bone inscriptions, bronze inscriptions, bamboo-strip inscriptions, and courses on the Yi jing, Shi jing, and Shang shu. He serves as Director of Graduate Studies for the department and has supervised numerous graduate students. His current and upcoming courses include 'The Ji Zhong Discovery,' 'The Development of Early China Studies in the West,' 'Western Zhou Bronze Inscriptions,' 'The Shang shu,' and 'The Shi jing.' Shaughnessy maintains an active research program with current projects including the translation of Tsinghua University's bamboo manuscripts and serving as co-editor of the journal Bamboo and Silk. His scholarly network extends internationally, as evidenced by his 2013 lecture series at the Collège de France titled 'Unearthing the Chinese Classics,' where he presented on the Zhou Yi, Shang Shu, Shi Jing, and Laozi.
Arvind Narayanan is a Professor of Computer Science at Princeton University and Director of the Center for Information Technology Policy (CITP). His research focuses on the societal impact of digital technologies, particularly artificial intelligence, with emphasis on policy implications, fairness, and privacy. He leads interdisciplinary efforts connecting technical research with real-world policy challenges. Dr. Narayanan earned his Ph.D. from the University of Texas, Austin in 2009. His academic journey has established him as a leading voice in the critical examination of AI systems and their societal consequences. Narayanan's research spans multiple domains where technology intersects with society. His work on AI includes critical analysis of AI capabilities versus marketing claims (AI Snake Oil), fairness in machine learning systems, and the reproducibility crisis in ML-based science. In privacy research, he led the Princeton Web Transparency and Accountability Project which uncovered how companies track users online, developing the OpenWPM tool used in over 100 studies. His early work demonstrated fundamental limits of de-identification techniques and how machine learning reflects cultural stereotypes. His recent publications reveal a consistent focus on demystifying AI capabilities while identifying genuine opportunities and risks. Narayanan's work bridges technical computer science with policy relevance, emphasizing the importance of evidence-based approaches to AI governance. His research increasingly addresses the limitations of prediction systems, the challenges of evaluating AI systems, and the need for transparency in foundation models. Presidential Early Career Award for Scientists and Engineers (PECASE) Privacy Enhancing Technologies Award (twice recipient) Privacy Papers for Policy Makers Award (three-time recipient) TIME's inaugural list of 100 most influential people in AI 2025 Graduate Mentoring Award Narayanan is recognized as an exceptional mentor, receiving Princeton's Graduate Mentoring Award in 2025. His policy engagement extends to congressional testimony, advisory roles, and frequent media commentary. He has secured significant research funding supporting his work on web transparency, AI policy, and cryptocurrency analysis. His research group has produced influential tools like OpenWPM for web privacy studies and contributed to foundational textbooks on cryptocurrencies and fairness in machine learning. At Princeton, Narayanan leads the Web Transparency and Accountability Project, a major research initiative that has conducted large-scale measurements of online tracking across millions of websites. He also co-founded and directs the CITP's AI Policy Initiative, which brings together researchers from multiple disciplines to address pressing AI governance questions. His work frequently involves collaboration with social scientists, legal scholars, and policymakers to develop practical solutions to technology governance challenges.
Hamed Zamani is an Associate Professor at the Manning College of Information and Computer Sciences (CICS) at the University of Massachusetts Amherst, where he also serves as Associate Director of the Center for Intelligent Information Retrieval (CIIR). He joined UMass Amherst in 2020 after working as a researcher at Microsoft. His research focuses on designing and evaluating statistical and machine learning models for information access systems, including search engines, recommender systems, and question answering. Education: PhD in Computer Science, University of Massachusetts Amherst MS in Computer Engineering, University of Tehran BS in Computer Engineering, University of Tehran Zamani's current research explores neural information retrieval, conversational search, and retrieval-enhanced machine learning. He develops efficient neural models for core IR tasks and emerging areas like conversational information seeking. His work bridges information retrieval with large language models to enhance capabilities in understanding complex queries and generating relevant responses. His recent publications demonstrate a strong focus on retrieval-augmented generation, personalized information access, and efficient neural ranking models. There's a clear trend toward integrating large language models with information retrieval systems, optimizing multi-agent frameworks, and developing evaluation metrics for generative AI applications in search contexts. Scientific Awards: NSF CAREER Award ACM SIGIR Early Career Excellence in Research & Community Engagement Awards (2023) UMass CICS Outstanding Dissertation Award Paper awards at SIGIR (2022, 2023, 2024), CIKM (2020), ICTIR (2019) Microsoft Research Award (AI and New Future of Work program) Amazon Research Award (Optimization of Retrieval-Enhanced ML Models) Zamani actively advises PhD students and postdoctoral researchers, with his students receiving prestigious awards including NSF Graduate Research Fellowships and SIGIR Best Paper awards. He leads the CIIR Talk Series, hosting IR researchers to share recent findings. His Alexa Prize TaskBot Challenge team was selected for two consecutive years, advancing task-oriented dialogue systems. He directs research at the Center for Intelligent Information Retrieval (CIIR), where he oversees projects in neural retrieval models, conversational AI, and retrieval-augmented generation. The center serves as a hub for developing next-generation information access systems with industry and academic collaborators.
Eero Hyvönen is a Professor of Computer Science at Aalto University and Director of the Helsinki Centre for Digital Humanities (HELDIG) at the University of Helsinki. He leads the Semantic Computing Research Group (SeCo), specializing in Semantic Web technologies and applications. Hyvönen holds an Adjunct Professor title at the University of Helsinki's Department of Computer Science. His work focuses on developing national-level semantic web infrastructure, with applications in digital humanities, cultural heritage, and AI. He has published over 500 research articles and books, receiving numerous awards including the Decoration of Knight, First Class, of the Order of the White Rose of Finland (2018). Hyvönen chairs editorial boards of journals like Semantic Web and serves on committees for major conferences. His research spans semantic web technologies, linked open data, and AI applications in cultural heritage domains. Key projects include Sampo portals (e.g., LetterSampo, OperaSampo) for cultural data analysis, ParliamentSampo for parliamentary data, and FindSampo for archaeological finds. His work emphasizes interdisciplinary collaboration, integrating law, history, and computing through initiatives like FIN-CLARIAH. Hyvönen advises doctoral and master's students, notably Annastiina Ahola and Jouni Tuominen, who have won awards under his supervision. He directs research infrastructures, chairs international boards, and actively contributes to open data policies and standards development.
Josiah Hester is Associate Professor of Interactive Computing and Computer Science at Georgia Tech's College of Computing, where he also directs the Center for Advancing Responsible Computing and the Ka Moamoa – Ubiquitous and Mobile Computing Lab . His research focuses on sustainable, battery-free computing systems for health, conservation, and education, informed by his Native Hawaiian heritage. Education: Ph.D. in Computer Science, Clemson University, 2017 B.S. in Computer Science, Clemson University Honors College, 2011 Research Interests: Hester’s group pioneers intermittent computing —devices that harvest ambient energy (solar, radio, thermal, microbial) and operate reliably despite frequent power loss. Applications span: Large-scale conservation sensing with Indigenous communities Battery-free health wearables (smart masks, implantables) Educational tools for sustainable design Carbon-aware IoT and recyclable robotics Recent Work & Trends: His 2024–2025 publications unveil soil-powered sensors, recyclable electronics, and culturally-grounded CS education tools. A consistent theme is co-design with underserved communities and embedding sustainability metrics at every layer—from hardware to curriculum. Scientific Awards: Presidential Early Career Award for Scientists and Engineers (PECASE) – 2025 Alfred P. Sloan Fellowship – 2022 NSF CAREER Award – 2022 Popular Science “Brilliant 10” – 2021 3M Non-Tenured Faculty Award – 2021 Multiple best-paper & best-presentation awards Grants & Teams: Hester’s lab is supported by >$50 million in active funding from NSF, NIH (ARPA-H), DARPA, DoD, Sloan, VMware, and 3M. He leads interdisciplinary teams on projects such as: $35 million ARPA-H bioelectronics initiative for diabetes and cancer $5 million NSF “Coastlines and People” Hub for Manoomin conservation $2 million NSF-DELPHI sustainable edge device design Laboratory & Mentorship: The Ka Moamoa Lab (named with Hawaiian meaning “lamp of the moamoa fish”) hosts graduate, undergraduate, and post-doctoral researchers. Hester actively recruits Native and Indigenous students and has mentored award-winning advisees such as Nivedita Arora (ACM Doctoral Dissertation Award 2024).
Dr. Qing Zhou is a Professor of Psychology at the University of California, Berkeley, and Director of the Culture and Family Study Lab. He received his Ph.D. from Arizona State University and specializes in understanding how cultural context, family dynamics, and temperament influence children's socio-emotional, academic, and executive function development, with a focus on immigrant families. Key research interests include: Developmental psychopathology Temperament and emotion regulation Family socialization and parenting Impact of bilingualism on child development Cultural values and migration effects on adjustment His work employs multi-method approaches, including questionnaires, behavioral observations, and neuropsychological testing, with ongoing projects like the NICHD-funded longitudinal study on dual language learners and the Chau Hoi Shuen Foundation-supported grandparent involvement research. Collaborations include scholars at UC-Davis, UC-Merced, Wellesley College, and institutions in France and Taiwan. Dr. Zhou has trained numerous students, including current doctoral candidates Xinyi Chen, Erika Roach, and Christopher Gys, as well as alumni at institutions like Harvard, Stanford, and UCSF. His lab's publications emphasize cross-cultural comparisons, longitudinal designs, and intervention implications for immigrant youth.
Dr Aaron D. Hornkohl is an Associate Professor in Hebrew and Bye-Fellow at Girton College, University of Cambridge. He serves as Director of Studies in Asian and Middle Eastern Studies at Girton and Homerton Colleges. His academic background includes a BA from Biola University, MA from The Hebrew University of Jerusalem, and PhD (2012) on the linguistic analysis of the Book of Jeremiah. His research focuses on ancient Hebrew philology, linguistic periodization, and exegesis, with a particular interest in the diachronic development of Hebrew and textual criticism of biblical manuscripts. Teaching responsibilities include courses on ancient and modern Hebrew literature, language history, and Middle Eastern culture. He co-organizes initiatives like the Sutton Trust Summer School and leads AHRC-funded research on critical editions of Hebrew texts, including the Kaufmann MS of the Mishna. Recent publications explore Tiberian reading traditions, Masoretic vocalization, and linguistic features in Qumran manuscripts. Research projects include Grammar of Biblical Hebrew Books (2024) and Studies in the Masoretic Tradition (2022). His work bridges linguistic analysis with historical context, addressing questions of language evolution and textual authenticity in Hebrew biblical and rabbinic corpora.
Prasanna (Sonny) Tambe is a Professor at the Wharton School of the University of Pennsylvania, specializing in the economics of technology and labor markets. His research explores AI’s impact on workforce dynamics, HR algorithms, and the gender wage gap in tech industries. Education: Ph.D. in Managerial Science and Applied Economics (Wharton, UPenn); S.B. and M.Eng. in Electrical Engineering and Computer Science (MIT). His work leverages internet-scale data from job platforms and patent databases to analyze trends in skill acquisition, remote work diversity, and algorithmic bias in hiring. Recent studies examine AI’s role in HR decision-making, the economics of emerging technologies, and labor market responses to IT innovation. Scientific Awards: Best Undergraduate Professors (Poets & Quants, 2020) Best Paper Awards (Management Science, Information Systems Research) ISS Sandra A. Slaughter Early Career Award (2016) Tambe co-directs Wharton Human-AI Research, focusing on ethical AI integration in organizations. His teaching includes award-winning courses on AI’s societal implications and data-driven business strategies.
Martha Ann Bell is a University Distinguished Professor of Psychology and College of Science Faculty Fellow at Virginia Tech. She leads the Cognition, Affect, and Psychophysiology (CAP) Lab, focusing on developmental cognitive neuroscience and the integration of emotion and cognition in early development. Her work examines EEG/ECG biomarkers, executive function, temperament, and maternal-child interactions. Dr. Bell holds a PhD in Human Development from the University of Maryland (1992), an MS in Child and Family Studies from the University of Tennessee (1983), and a BS in Home Economics from Carson-Newman College (1978). She has held progressive roles from Assistant Professor (1996) to her current distinguished title. Her research interests include developmental changes in brain-behavior relations, neurophysiological correlates of emotion regulation, and longitudinal predictors of child development. Recent work explores maternal emotion coaching, EEG neuromarkers of ADHD, and the neurodevelopmental impacts of nutrition. Key awards include the Virginia Tech University Distinguished Professorship (2021) and College of Science Faculty Fellowship (2019–2025). Her publications span developmental psychobiology, neuroimaging methods, and temperament-behavior links. Dr. Bell’s advising and grants focus on interdisciplinary developmental science. The CAP Lab collaborates on projects involving infant neuroimaging, maternal-child physiology, and early childhood interventions.
