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Christina Youngmi ChoiView profile

Professor

• Emerging Technologies
• Healthcare
• Ageing
• +4 more

Christina Youngmi Choi is a Professor in the School of Design at the Royal College of Art (RCA), specializing in emerging technologies, healthcare, and inclusive design. She holds a BFA and MA in Industrial Design from South Korea, followed by a MSc and PhD from the Georgia Institute of Technology (Georgia Tech), where she also served as faculty, earning tenure and holding leadership roles such as Associate Chair and Director of the Graduate Program. Her research focuses on leveraging technology for assistive and inclusive design, emphasizing evidence-based and human-centered approaches. Key areas include usability assessment, assistive product design, and healthcare innovation. She has over 60 publications in journals, conferences, and books, with notable works exploring augmented reality in design and accessibility. Dr. Choi has led or contributed to significant grants, including the Rehabilitation Engineering Research Center (RERC) for Wireless Inclusive Technologies (2016–22), and the NSF-funded Feasibility and Usability Assessment of an Intraoral Inconspicuous Control Surface (2013–16). Her work spans collaborations with industry partners like LG Electronics and Jeju Airlines, addressing challenges in healthcare, education, and consumer technology. Awards: Best Paper Award at AHFE 2022 Georgia Tech Teaching Excellence Recognition (multiple years) National Science Foundation Women of Excellence Award (2016) Her advising and grants highlight interdisciplinary projects, such as integrating traditional wood joinery into CNC manufacturing and developing user-friendly medical devices. She is an editorial board member of the Journal of User Experience and peer reviewer for multiple journals and conferences. Her work also addresses privacy in health technologies and medication adherence systems, reflecting a commitment to societal impact through design.

Ruonan XuView profile

Assistant Professor

• Econometrics
• Applied Econometrics
• Finite Population Inference
• +3 more

Ruonan Xu is an Assistant Professor in the Department of Economics at Rutgers University, specializing in Econometrics. She joined the department in Fall 2020. Her research focuses on finite population inference, spatial correlation, and causal inference methodologies. Education: Ph.D. in Economics, Michigan State University, 2020 B.A. in Mathematical Economics, Fudan University, 2015 Research Interests: Dr. Xu’s work emphasizes econometric methodologies for addressing complex data structures, including spatial correlation, clustered data, and interference effects. She has contributed to instrumental variable estimation with binary endogenous variables and developed design-based approaches for spatial analysis. Her recent focus includes robustness considerations in econometric models and multidimensional clustering techniques. Publications & Work in Progress: Her published work includes studies in The Econometrics Journal and Economics Letters . Current projects explore distributionally robust average treatment effects and difference-in-differences with interference mechanisms. A working paper on multidimensional clustering has been submitted to the Journal of Econometrics . Advising & Grants: No formal advisees or grants explicitly listed in the provided materials.

• Cancer Biology
• Genome Editing
• Molecular Biology
• +3 more

Wen Xue is a Professor at UMass Chan Medical School, affiliated with the RNA Therapeutics Institute within the T.H. Chan School of Medicine. She holds multiple additional roles across departments such as the Program in Molecular Medicine, Cancer Biology, and Biochemistry and Molecular Biotechnology at the Morningside Graduate School of Biomedical Sciences. Her research focuses on developing genetic models for liver and lung cancer using CRISPR/Cas9 and RNAi tools. Key areas include CRISPR-mediated genome editing for cancer gene discovery, KRAS inhibition mechanisms, and miRNA networks in lung cancer. She has secured grants from NIH, American Cancer Society, and others. Awards include the NIH Director’s New Innovator Award and Lung Cancer Research Foundation grants. Her lab actively recruits postdoctoral researchers and offers rotation projects in CRISPR technology and cancer biology. Education: B.S. and M.S. in Biochemistry from Nanjing University; Ph.D. in Biochemistry from State University of New York, Stony Brook. Research Interests: Wen Xue’s lab employs CRISPR tools to accelerate cancer gene validation and therapeutic target identification. Projects include: CRISPR-based liver cancer gene correction and oncogene deletion studies. Investigating KRAS inhibition resistance via RNAi and CRISPR in lung cancer models. Characterizing miRNA networks using TCGA data to identify therapeutic miRNA candidates. Her work bridges functional genomics with precision medicine, emphasizing in vivo and in vitro platforms. Publications: Over 100 peer-reviewed articles, including high-impact studies on CRISPR applications in gene therapy and cancer modeling. Recent work explores prime editing, base editing, and viral/non-viral delivery systems for lung diseases. Grants & Awards: NIH grants (P01HL131471, DP2HL137167), American Cancer Society (RSG-16-093), and industry partnerships like the Cystic Fibrosis Foundation. Collaborations include projects on CFTR mutation repair and AAV vector development. Labs/Teams: Xue Lab focuses on cancer genetics and gene editing, with interdisciplinary collaborations in molecular medicine and bioengineering. Ongoing projects aim to translate CRISPR-based therapies into clinical applications.

• Number Theory
• Algebra
• Langlands Program
• +3 more

Bence Hevesi is a MathInGreaterParis Postdoctoral Fellow at the Laboratoire de Mathématiques d'Orsay, affiliated with Université Paris-Saclay. Previously, he completed his PhD (2020–2023) at the London School of Geometry and Number Theory (LSGNT), a collaboration between King's College London, Imperial College London, and University College London. His primary supervisor during his PhD was Professor Fred Diamond, with additional supervision by Ana Caraiani. He holds a Master's degree in Mathematics, supervised by David Hansen, focusing on the Geometry of the de Rham affine Grassmannian . Research Interests: Bence specializes in Number Theory, particularly the Langlands program. His work explores global and p-adic aspects, including automorphic forms, Galois representations, and arithmetic geometry. He actively contributes to advancing methodologies in p-adic Hodge theory and representation theory. Publications/Preprints: His recent preprint, Ordinary parts and local-global compatibility at l=p , reflects his engagement with cutting-edge topics in number theory. This work bridges local and global perspectives in the Langlands program, with implications for understanding p-adic structures in arithmetic geometry. Awards & Grants: No specific awards or grants are mentioned, but his postdoctoral fellowship under MathInGreaterParis highlights institutional recognition of his research potential. His PhD at LSGNT was supported by the UK's Engineering and Physical Sciences Research Council (EPSRC). Labs & Collaborations: Based at Laboratoire de Mathématiques d'Orsay, he collaborates with leading researchers in arithmetic geometry and number theory. His work intersects with CNRS and international networks, fostering interdisciplinary advancements in algebraic number theory.

Maren ElfertView profile

Senior Lecturer

• International and comparative education
• Global governance of education
• Influence of international organizations on educational policies
• +3 more

Dr. Maren Elfert is a Senior Lecturer in International Education at King’s College London, part of the School of Education, Communication & Society. She is affiliated with the Centre for Public Policy Research (CPPR). Previously, she worked at the UNESCO Institute for Lifelong Learning (2000s), earned her PhD in 2016 from the University of British Columbia, and completed a postdoctoral fellowship at the University of Alberta (2017-2018). Education: PhD in Education, University of British Columbia (2016) Professional History: UNESCO staff member (over a decade), Postdoctoral Fellow (University of Alberta), King’s College London faculty since 2019. Her research focuses on global governance of education, particularly the influence of international organizations like UNESCO, OECD, and the World Bank. She explores historical and contemporary dynamics shaping educational concepts and policies, including lifelong learning and the Sustainable Development Goals (SDGs). Her work emphasizes the interplay between international agendas and localized educational practices. Key research outputs include the book Global Governance of Education (2023) and articles examining SDG4’s role in global education policy. Her grants include SSHRC and Spencer Foundation fellowships, along with a British Academy/Leverhulme grant. Awards: SSHRC Postdoctoral Fellowship National Academy of Education/Spencer Foundation Fellowship British Academy/Leverhulme Small Grant Dr. Elfert advises PhD students on international education, global governance, and the historical role of international organizations. She leads the Diffusion of Global Education Policies project funded by the British Academy (2023–2025). Her affiliations include the King’s International Education Research Network, focusing on global education challenges.

• Autism Spectrum Disorder
• Developmental Psychology
• Social Attention
• +3 more

Dr. Angelina Vernetti is a Research Scientist at Yale University's Child Study Center, affiliated with the Social and Affective Neuroscience of Autism (SANA) Program. She holds a PhD in Developmental Neuropsychology from Birkbeck, University of London, and completed postdoctoral training at Yale. Her research focuses on social attention, reinforcement learning, and emotional regulation in children with autism, using advanced methodologies like eye-tracking and physiological recordings. Education: PhD in Developmental Neuropsychology, Birkbeck, University of London (2018) MSc in Neurosciences and Neuropsychology, University of Toulouse (2010) BSc in Cell Biology, University of Angers (2008) Research Interests : Dr. Vernetti investigates the neural and behavioral foundations of social difficulties in autism, including social attention mechanisms, emotional regulation abnormalities, and language processing deficits. Her work integrates experimental paradigms with neuroimaging and physiological measures to identify biomarkers for early intervention. Collaborations: She collaborates with prominent researchers like Katarzyna Chawarska and Suzanne Macari, focusing on neurodevelopmental mechanisms and translational research. Her team explores innovative approaches to autism assessment, including live eye-tracking and puppet-based interventions. Labs & Affiliations: Member of the Chawarska Lab and the Center for Brain & Mind Health. Active in training undergraduate, postgraduate, and doctoral students in autism research methodologies.

Ravi ShuklaView profile

Professor

• Nanobiotechnology
• Bioscience
• Medical Biotechnology
• +6 more

Professor Ravi Shukla is a faculty member at RMIT University's School of Science, holding the title of Professor and Deputy Head of Department (Research). He specializes in Nanobiotechnology, with research spanning biomaterials, drug delivery systems, and medical diagnostics. His work integrates biosciences, materials science, and food technology to advance understanding of nanomaterial-biomolecular interactions. Academic History: Professor Shukla has held roles at RMIT since 2011, progressing from Research Fellow to his current professorship. He also serves as an Adjunct Professor at the University of Missouri and Theme Leader for Nanobiotechnology at RMIT’s Center for Advanced Materials and Industrial Chemistry. His teaching focuses on fostering student belonging and innovation in biotechnology education, including coordinating RMIT’s undergraduate Biotechnology program. Research Interests: His lab explores hybrid biomaterial synthesis, nano-enabled proteomics, and non-viral gene therapy using MOFs. Recent work emphasizes applications in diabetes biosensing, CRISPR/Cas9 delivery, and antimicrobial resistance mitigation through nanostrategies. Over 130+ publications and substantial research funding highlight his interdisciplinary impact. Professional Engagement: Editor roles in Frontiers in Bioengineering and Biotechnology , Co-Editor-in-Chief of Current Research in Nutrition and Food Science , and advisor to the Australasian Association of Ayurveda underscore his leadership. He actively mentors students in projects like nano-antimicrobial wound healing and aptamer-based hepatitis A detection. Key Achievements: Pioneered nucleic acid-encapsulated MOFs for cancer therapy and developed paper-based biosensors for rapid diagnostics. His work aligns with UN Sustainable Development Goals 2 (Zero Hunger) and 3 (Good Health).

• Neonatology
• Pediatrics
• Body Composition
• +5 more

Overview Catherine O'Neill Buck is an Assistant Professor in the Department of Pediatrics, Division of Neonatal-Perinatal Medicine at Yale School of Medicine. She is a neonatologist and clinical researcher focused on maternal metabolic health during pregnancy and its influence on infant growth, body composition, and neurodevelopment. Her work bridges clinical care and translational research, with a particular emphasis on preterm infants and obesity prevention. Education & Training MD: University of Connecticut School of Medicine BS: University of Connecticut (Molecular/Cell Biology and Spanish) Pediatric Residency: University of Texas Southwestern Medical School (2015) Neonatal-Perinatal Medicine Fellowship: Brown University/Women and Infants Hospital (2019) MHS (Clinical Investigation): Yale School of Medicine (2025) Research Focus Dr. Buck's research investigates how maternal metabolic conditions (e.g., diabetes) and early neonatal nutrition affect preterm and term infants' growth trajectories, adiposity, and long-term cardiometabolic health. Key areas include: Adipokine and metabolite profiling in newborns Ultrasound-based body composition assessment in preterm infants Optimizing nutritional protocols for preterm growth Impact of maternal diabetes on neonatal morbidities Clinical Trial Principal Investigator for the trial Preventing Obesity in Preterm Infants (HIC ID 2000031084), exploring strategies to mitigate obesity risks in preterm populations. Labs/Teams Leads the Yale Neonatal NOuRISH Team , focusing on nutritional and metabolic interventions for neonates.

Mark ThouinView profile

Clinical Professor

• Information Systems Education
• Experiential Learning
• Postsecondary Leadership
• +3 more

Mark Thouin is a Clinical Professor of Information Systems and Associate Dean for Graduate Programs - Academic Operations at The University of Texas at Dallas (UT Dallas), Jindal School of Management. He holds an MBA from George Mason University and a PhD from Texas Tech University. His research focuses on IT business value, experiential learning, and postsecondary leadership, with notable contributions to information systems curriculum development and agile methodologies. He teaches courses like Business Analytics with SAS and Agile Project Management. His awards include the Outstanding Undergraduate Teaching Award from UT Dallas Jindal School of Management and AITP Region 3 Star Performer of the Year. His recent articles emphasize competency models in information systems education, experiential learning simulations for agile methodologies, and curriculum standards through collaborations like ACM/AIS IS2020 initiatives. Education: PhD, Texas Tech University, 2007 MBA, George Mason University, 2004 BS, Virginia Tech, 1992 Professional Organizations: Association for Information Systems (AIS) Society for Information Management Association for Computing Machinery His work bridges academic curriculum design with industry needs, particularly through competency-based frameworks and experiential learning approaches. He has contributed to global standards for information systems graduate programs (MSIS 2016) and undergraduate curriculum guidelines (IS2020).

• Energy Efficiency in Software
• Multicore Memory Systems
• Hardware/Software Co-Design
• +3 more

Arrvindh Shriraman is an Associate Professor and Program Director of Software Systems at Simon Fraser University's School of Computing Science in Surrey. His research focuses on energy-efficient software, multicore memory systems, and optimizing hardware/software interfaces for parallel programming. He holds a Ph.D. (2010) and M.S. (2006) in Computer Science from the University of Rochester, and a B.Eng. (2004) from the University of Madras. He teaches courses on parallel programming and energy-conscious software design. His research interests include synchronization mechanisms for domain-specific architectures, cache optimization, and FPGA-based acceleration. He has contributed to frameworks like Mu-grind for HLS-generated RTL instrumentation and TAPAS for parallel accelerator generation. Notable projects include RANGE-BLOCKS for synchronization in domain-specific systems and TapeFlow for gradient computation in neural networks. His work emphasizes real-time verification of autonomous systems and safety-critical trajectory planning for underwater vehicles. Shriraman collaborates closely with the Tangent Lab, exploring cutting-edge solutions in hardware-software co-design and embedded systems. His teaching and research bridge theoretical computer science with applied engineering challenges, addressing scalability, efficiency, and safety in modern computing systems.

Ally KruparView profile

Assistant Professor

• Education in Emergencies
• International Education Development
• Monitoring and Evaluation
• +9 more

Dr. Ally Krupar (she/her) is a faculty member at American University's School of International Service, specializing in education in emergencies, monitoring and evaluation in international development, and lifelong learning in crisis contexts. With over five years of teaching experience, she focuses on applied methodology and international development programming, including teaching PROF-660 Data-Driven Decision Making in Summer 2025. Education: Ph.D. in Lifelong Learning, Adult Education, and Comparative and International Education, Pennsylvania State University M.A. in Interdisciplinary Studies (International Peace and Conflict Resolution, Human Rights Law, Public Anthropology), American University B.A. in Anthropology, Case Western Reserve University Her research centers on the intersection of education, humanitarian response, and wellbeing, particularly in emergency settings. She designs, supports, and evaluates research and development programs aimed at enhancing lifelong learning opportunities and psychosocial wellbeing during crises. Her interdisciplinary approach draws from anthropology, education, and human rights frameworks to inform policy and practice in global development contexts. While no publications are listed in the provided text, her academic and professional focus suggests strong engagement with data-driven decision-making, program evaluation, and educational interventions in fragile environments. Dr. Krupar has not been mentioned as receiving specific scientific awards in the provided content. She advises on research and development programming in international education, with a focus on evidence-based design and impact assessment. Though no formal advisees are listed, her role involves mentoring students through coursework and applied projects in development programming. There is no mention of external grants, but her work implies involvement in research design and evaluation for educational initiatives in humanitarian settings. There is no explicit information about labs, research teams, or collaborative groups she leads or participates in, though her work involves designing and evaluating development programs, suggesting potential affiliation with research centers or initiatives focused on global education and emergency response at American University.

Elizabeth LinosView profile

Associate Professor

• Public Policy
• Behavioral Science
• Social Policy
• +5 more

Dr. Elizabeth Linos is the Emma Bloomberg Associate Professor of Public Policy and Management at Harvard Kennedy School of Government and Faculty Director of The People Lab. Her work bridges behavioral science and public management to improve government operations and services. Prior roles include Assistant Professor at UC Berkeley, VP and Head of Research at Behavioral Insights Team North America, and policy advisor to Greek Prime Minister George Papandreou Founded The People Lab (2017), which collaborates with government agencies to address real-time challenges Research focuses on government workforce recruitment, resident-state interactions, and evidence-based policymaking Her research explores behavioral interventions in public sector contexts, with significant contributions to understanding stigma in social programs , organizational inertia in evidence adoption , and intersectional workplace dynamics . Recent work investigates cost-effective nudge strategies for anti-poverty benefits and international healthcare recruitment . Notable scientific awards include the David N. Kershaw Award (2023), recognition as a top 10 local government influencer by ELGL, and inclusion in Apolitical's 100 most influential academics in government. Her sponsored projects address evidence adoption, healthcare recruitment, and benefits take-up barriers. She has served on advisory boards for the American Heart Association , OECD , and Democracy Forward Foundation , and her work has been featured in Nature Human Behaviour , Econometrica , and Harvard Business Review .

L. Taylor PhillipsView profile

Associate Professor

• Diversity, Inclusion, D&I
• Privilege
• Inequality
• +6 more

L. Taylor Phillips is an Associate Professor in the Department of Management & Organizations at the Leonard N. Stern School of Business, New York University, where she has been a faculty member since 2016. She holds a Ph.D. in Business Administration and a B.A. in Psychology and Human Biology, both from Stanford University. Ph.D., Business Administration, Stanford University B.A., Psychology and Human Biology, Stanford University Her research centers on the psychology of privilege, inequality, and diversity, with a focus on how advantaged groups perceive and respond to inequity. She investigates how privilege shapes beliefs and behaviors, particularly in organizational contexts, and how to engage privileged individuals in diversity and inclusion efforts. Her work integrates social psychology with organizational behavior, using experimental, longitudinal, and field methods to study hierarchy, power, race, gender, and social class. Her recent publications explore themes such as allyship effectiveness, discrimination recognition, denial of class privilege, and group-based hierarchies. These works appear in premier journals including the Journal of Personality and Social Psychology , Academy of Management Annals , and Organizational Behavior and Human Decision Processes , reflecting interdisciplinary impact across management, psychology, and sociology. Notable scientific awards and recognitions include: Early Career Award, International Society for Justice Research (2023) Rising Star Early Career Award, Association for Psychological Science (2021) Best Undergraduate Professors, Poets & Quants (2020) DARE Doctoral Fellowship, Stanford University (2014) NSF Graduate Research Fellowship (2011) Dr. Phillips advises on organizational DEI strategy and is a SPARQ Faculty Affiliate at Stanford University, applying research to real-world challenges. She has taught courses in Management and Organizations and Research Methods, mentoring future scholars and practitioners. Her work is supported by prestigious fellowships and appointments, including affiliations with the Clayman Institute for Gender Research and the Society for Personality & Social Psychology. She leads a research program that combines theoretical rigor with practical relevance, aiming to transform how organizations understand and manage social hierarchies. Her lab employs diverse methodologies, including physiological and cognitive tools, to uncover the mechanisms underlying privilege and inclusion.

Andrew HeadView profile

Assistant Professor

• Human-computer interaction
• Programming
• Reading
• +5 more

Andrew Head is an Assistant Professor at the University of Pennsylvania's Department of Computer Science, specializing in Human-Computer Interaction (HCI) and Programming. His work bridges interactive reading , math notation accessibility , and AI-assisted code comprehension . Affiliated with Penn HCI, PLClub, and MindCORE, he co-leads research with Danaé Metaxa and Benjamin Pierce. University of Pennsylvania Assistant Professor, Computer Science Affiliations: Penn HCI, PLClub, MindCORE His research focuses on interactive reading interfaces , AI-powered programming tools , and math notation analysis . Recent projects include: FreeForm : Interactive math notation editor Tyche : Property-based testing tools Explainable Notes : Medical note interpretation systems Publications in CHI , UIST , and ICSE demonstrate his systems-centric approach combining user studies with working prototypes. Notable awards include Best Paper at UIST 2024 and CHI 2022. Advising: Ph.D. Students: Alyssa Hwang, Litao Yan, Hita Kambhamettu, Jeff Tao, Jessica Shi Grants: $1M NSF grant for Property-based Testing Tools (2024) Teaching: Spring 2025: CIS 4120/5120 - Human-Computer Interaction Fall 2024: CIS 7000 - Interactive Reading

• Computer Graphics
• Computer Vision
• Human-Computer Interaction
• +7 more

Changjian Li is an Assistant Professor in the School of Informatics at the University of Edinburgh. He leads the GraphViX Group (Graphics, Vision and X) and is a member of the Institute of Perception, Action and Behaviour (IPAB). His research spans computer graphics, computer vision, and human-computer interaction with a focus on 3D generation and analysis. Education: Bachelor's Degree from Shandong University (2014) Ph.D. from the University of Hong Kong (2019) under Prof. Wenping Wang Postdoc at University College London (UCL) with Prof. Niloy Mitra Starting Researcher position at Inria with Dr. Adrien Bousseau Research Interests: Changjian's research focuses on sketch-based 3D modeling, CAD modeling, point cloud processing, and medical imaging applications. He develops systems that bridge intuitive sketching with precise CAD workflows, enhances 3D animation pipelines, and applies neural methods to sparse medical data reconstruction. Scientific Recognition: Best Paper Honorable Mention Award (MICCAI 2021) CADTalk selected as Highlight (CVPR 2024 top 10%) ACM SIGGRAPH Asia 2018 cover image selection ACM SIGGRAPH Asia 2015 technical paper highlight CVPR 2019 poster highlighted in 'Computer Vision News' Advising & Collaborations: He mentors postdocs and PhD students including Duolikun Danier, Haocheng Yuan, Ankan Bhunia, and Lei Zhong. Former advisees include Salvatore Esposito (now at Edinburgh), Guangshun Wei (Shandong University), and Mingjun Yang (University of Melbourne). Collaborates with Oisin Mac Aodha, Hakan Bilen, and Niloy Mitra. Professional Service: Currently serves as Associate Editor for IEEE TVCG and participates in program committees for SIGGRAPH Asia, SIGGRAPH, EuroGraphics, and Geometry Design and Computing (GDC) conferences.