Lindsay Turner is an Associate Professor in the Department of English at Case Western Reserve University. A poet, critic, and translator, her work bridges creative writing, translation theory, and interdisciplinary research. Her prior role as Assistant Professor at the University of Denver’s Department of English and Literary Arts underscores her commitment to literary education. AB in English, Harvard College Masters in cinema studies, Université Paris III Sorbonne-Nouvelle MFA in poetry, New York University PhD in English, University of Virginia Turner’s research spans creative writing , transnational poetry , and gender studies , with a focus on the intersections of literature and labor. Her recent work examines gendered domestic and reproductive labor through poetic forms. Key trends in her publications include experimental translation , queer theory , and postcolonial philosophy . National Translation Awards Best Translated Book Awards French American Foundation recognition She has received grants such as the WPR Creative Grant from Harvard’s Woodberry Poetry Room and multiple French Voices Grants . Her translations have been praised by The New Yorker and The New York Times for their intellectual rigor and stylistic innovation.
Elena Agapie is an Assistant Professor in the Department of Informatics at the Donald Bren School of Information & Computer Sciences, University of California, Irvine. Her research lies at the intersection of human-computer interaction (HCI), health, and behavior change, focusing on designing technologies that support individuals in adopting and maintaining healthy behaviors through human-centered approaches. She is affiliated with the Connected Learning Lab and the Institute for Future Health at UCI. Her educational background includes a PhD in Human Centered Design and Engineering from the University of Washington, an MS in Computer Science from Harvard University, and a BS in Computer Science from Jacobs University Bremen in Germany. She has also conducted research at Microsoft Research, FXPAL, Intel Labs, and NASA Jet Propulsion Lab. Elena's research focuses on designing tools that integrate evidence-based behavioral interventions with user needs, particularly in mental health, chronic disease management, and social support systems. She explores how technology can support therapist-client collaboration, enable tailored health interventions, and leverage crowd expertise for personalized behavior change plans. Her work often involves participatory design, qualitative studies, and prototyping of interactive systems for diverse populations, including youth, hospitalized patients, and underserved communities. Her recent publications, primarily in top-tier venues like CHI and CSCW, reflect a strong trend toward social computing in health, longitudinal behavior support, and the design of inclusive digital health tools. Key themes include goal setting, conversational agents, social sharing in health tracking, and cross-disciplinary collaboration in health technology development. Best Paper Award (top 1%) at CHI 2017 Honorable Mention Best Paper Award (top 5%) at CHI 2016 Best Paper Award (top 1%) at HCOMP 2015 Honorable Mention Best Paper Award (top 5%) at CHI 2013 Elena has been funded by the National Science Foundation, National Institutes of Health, and UCI internal grants. She actively mentors PhD students including Bruna Oewel, Meeshu Agnihotri, and Mehreen Masood, and is currently recruiting students interested in HCI, health, and behavior change. She previously led the outreach program in the HCDE department at the University of Washington, creating workshops that introduced K–12 students to engineering and human-centered design, reaching over 2,000 students across public schools and community events. She runs initiatives to broaden participation in computing and advises undergraduate students in outreach and curriculum development. Her lab collaborates with clinical partners and interdisciplinary teams to ensure real-world impact of her research.
Daniela Iorio is an Associate Professor at the Department of Economics, University of Bologna, and holds a part-time professorship at the European University Institute’s School of Transnational Governance. She specializes in Political Economy, Health Economics, and Public Economics. Her work addresses topics like voting behavior, eating disorders, reproductive health, and parental investments. She earned a Ph.D. in Economics from the University of Pennsylvania and has held positions at institutions including USC, Universitat Autònoma de Barcelona, and the Barcelona Graduate School of Economics. Her research focuses on health policy, behavioral economics, and political institutions. Notable contributions include analyzing the link between eating disorders and addictive behaviors, evaluating IVF success disparities, and developing parenting measurement tools through digital interventions. She has been awarded the 2016 Oliver E. Williamson Prize and the Rita Levi Montalcini grant. Iorio teaches advanced courses on political economy and health economics at the PhD and master’s levels. She directs the Health Economics, Management and Policy master’s program at Bologna and has advised over a dozen graduate students. Her grants include a €758k MIUR project on child development and parental engagement. She serves as an Associate Editor for the European Economic Review and referees for top journals like the American Economic Review .
Hao Liu is an incoming Assistant Professor of Machine Learning at Carnegie Mellon University and currently works as a research scientist at Google DeepMind. Previously, he completed his Ph.D. in Computer Science at UC Berkeley under the supervision of Pieter Abbeel. He also spent two years part-time at Google as part of the Google Brain team. His educational background includes: Ph.D. in Computer Science from UC Berkeley Hao Liu's research focuses on solving intelligence through deep learning, neural networks, and innovative learning objectives. His work spans multiple areas including large language models, reinforcement learning, world models, and attention mechanisms for long context processing. He has made significant contributions to making transformer models more efficient and capable of handling extremely long sequences through techniques like Ring Attention and Blockwise Transformers. His recent publications demonstrate a strong focus on extending the capabilities of language and vision models, particularly in handling long sequences and multimodal data. Key themes include attention optimization, tokenization efficiency, and alignment techniques. His work bridges theoretical advances with practical implementations for real-world AI systems, with multiple papers at top conferences including NeurIPS, ICML, and ICLR, often receiving spotlight or oral presentations. Hao is actively involved in open-source AI research, having contributed to projects like Koala and OpenLLaMa, which aim to make advanced language models more accessible to the research community. His work on RingAttention has been implemented as a Python package available on GitHub, demonstrating his commitment to practical implementations and community sharing.
Maren Toft is a Professor in the Department of Sociology and Human Geography at the University of Oslo's Faculty of Social Sciences. Her academic career has progressed from Research Assistant (2013-2014) to PhD Candidate (2014-2018), Postdoctoral Fellow (2018-2022), Associate Professor (2022), and now Professor. Her research focuses on: Class theory and theory of elites Social mobility and class structuration Segregation and urban inequality Social capital and networks of power Advanced quantitative methods including social sequence analysis and correspondence analysis Toft's publication record shows a consistent focus on elite formation, wealth accumulation, and class reproduction. Her work frequently employs longitudinal approaches to examine how social origins influence life trajectories, particularly among the upper classes. She has made significant contributions to understanding how class structures persist in Scandinavian welfare states, challenging assumptions about equality in these societies. Her major scientific awards include: His Majesty the King's Gold Medal for her 2018 PhD dissertation 'Biographies of privilege' Norwegian sociological association's award for best international publication in 2020/2021 Norwegian sociological association's award for best international publication in 2017 Kunnskap Oslo's award for best Oslo-related Research in 2015 Norwegian sociological association's award for research dissemination in 2018 Toft actively supervises PhD students including Iselin Hewitt (studying urban planning and gentrification), Marte Lund Saga (examining business-politics networks), and Stian Uvaag (researching sibling similarities in mobility). She serves on the board of both the Department of Sociology and Human Geography and the Norwegian Sociological Association. She is involved in several major research projects including HISTCLASS, The Oslo Register Data Classification (ORDC), The Salmon Elite (SALELITE), and Weaving the fabric of Elite Bonds (WEB), which collectively examine various dimensions of elite formation, power structures, and social inequality in Norway and internationally.
Benjamin Lange is a Research Professor and Junior Research Group Leader in the Ethics of AI and Machine Learning at Ludwig Maximilians University of Munich (LMU) and the Munich Center for Machine Learning (MCML). He is also an Associate Research Fellow at the Oxford Uehiro Institute for Practical Ethics and a member of LMU's Zentrum für Ethik und Philosophie in der Praxis (ZEPP). His research bridges foundational ethical theory with practical challenges in technology, business, and organizational ethics. Lange holds a BSc from the London School of Economics, and a B.Phil and D.Phil from the University of Oxford. He previously held visiting positions at Google’s Responsible Innovation team and the University of Hamburg. His research focuses on ethical frameworks for AI, digital ethics, and corporate responsibility. Key themes include the ethics of human-AI collaboration, moral partiality in relationships, and organizational ethics. He has advised the European Commission on AI governance and developed assurance audit methodologies for algorithmic systems, including work for NYC’s AI Bias Law. His consulting practice focuses on helping organizations build ethical cultures through capabilities like moral imagination and compliance frameworks. Lange’s work has been featured in media such as CBS News, Business Insider, and ZDF heute journal. He is completing a book on the ethics of interpersonal relationships and partiality, aiming to connect philosophical insights with practical applications. His recent publications explore moral imagination in engineering teams, bias mitigation in AI systems, and the ethical implications of digital duplication technologies. He advises Fortune 500 companies, startups, and public institutions across sectors including finance, technology, and education. His approach emphasizes aligning ethical practices with organizational growth and social impact through tailored ethical frameworks and stakeholder engagement strategies.
Krista Milich is an Assistant Professor of Biological Anthropology at Washington University in St. Louis, specializing in primate behavioral ecology and socioendocrinology. She holds a PhD from the University of Illinois at Urbana-Champaign and has conducted postdoctoral research at the University of Chicago and the University of Texas at Austin. Her work integrates field studies with laboratory analyses to understand primate social systems, reproductive strategies, and conservation challenges. Her research focuses on reproductive physiology, sexual selection, and zoonotic diseases in nonhuman primates. Key projects include long-term studies of red colobus monkeys in Uganda’s Kibale National Park, collaborative community conservation efforts to reduce human-wildlife conflict, and investigations into Zika virus in Amazonian primates. She also examines hormonal correlates in spider monkeys and woolly monkeys, linking social behavior to ecological and physiological factors. Her academic trajectory includes postdoctoral fellowships at the Institute for Mind and Biology (University of Chicago) and the Department of Anthropology (UT Austin), where she expanded into genetics and microbiome research. Her lab emphasizes comparative approaches to primate behavioral ecology, with fieldwork in Africa, South America, and Puerto Rico.
Federico Fabbrini is a Professor at the School of Law and Government of Dublin City University (DCU) . He serves as founding director of the DCU Brexit Institute and the Dublin European Law Institute, and leads multiple EU-funded research initiatives, including BRIDGE, REBUILD, and EXPRESS2. Education : B.A. from University of Trento (2006), J.D. from University of Bologna (2008), Ph.D. from European University Institute (2012) Former judicial clerk at Italian Constitutional Court (2010-2011), qualified attorney in Italy (2011) Prior roles: Associate Professor at University of Copenhagen (Denmark), Assistant Professor at Tilburg Law School (Netherlands) with tenure His research interests span EU law and policy , with focus on fundamental rights , economic governance , defense integration , and post-Covid-19 reforms , often employing comparative analysis with the United States . He has authored four monographs on Oxford University Press, addressing topics like EU fiscal capacity post-Covid-19 and Brexit's constitutional implications. Recent peer-reviewed publications explore EU fiscal responses to the Ukraine war, defense union dynamics, and recovery facility legal technologies. His work intersects constitutional law , international economics , and crisis governance . Scientific Awards : Young European Leader 2022 Knight (Cavaliere) for high scientific merits by President of Italy (2021) DCU President's Research Award (2021) Charlemagne Prize fellowship (2019-20) Advising and Grants : Supervises doctoral students (e.g., Havva Yesil, Elettra Bargellini) and secures EU funding for projects like REGROUP and EXPRESS2. He provides evidence to European Parliament committees and national governments, while authoring reports for the Irish Ministry of Finance and Eurogroup Presidency .
Atsuo Takanishi is a distinguished Professor at Waseda University's Faculty of Science and Engineering, School of Creative Science and Engineering, with appointments in both the Department of Bioscience and Biotechnology and the Department of Modern Mechanical Engineering. With over 700 publications, 10,399 citations, and an h-index of 47, Professor Takanishi has established himself as a leading figure in robotics research. His work spans multiple institutions, including visiting positions at Showa University School of Dentistry and KDDI Research, Inc. Professor Takanishi received his Doctor of Engineering degree from Waseda University in 1985, following his undergraduate studies in the Faculty of Science and Engineering at the same institution, which he completed in 1980. His academic journey began with positions as an Assistant at Waseda University (1985-1988), Lecturer (1988-1990), and Associate Professor (1990-1997) before achieving his current Professor status. Professor Takanishi's research interests center around robotics and intelligent systems, with particular expertise in humanoid robotics, surgical dentistry applications, and biomechatronics. His work demonstrates a unique integration of mechanical engineering principles with biological systems, resulting in innovative robotic platforms that mimic human capabilities. Notably, his laboratory has developed the Waseda Anthropomorphic Saxophonist Robot series and various medical training simulators that have significantly advanced the field of human-robot interaction. His research in experimental psychology complements his robotics work, particularly in human-robot interaction studies. Analysis of Professor Takanishi's recent publications reveals a strong focus on practical applications of robotics technology, particularly in assistive devices for elderly mobility, medical training simulators, and agricultural robotics for Synecoculture environments. His work consistently bridges theoretical robotics with real-world implementation, with recent papers emphasizing reinforcement learning approaches, haptic feedback systems, and computer vision techniques for complex environments. The Waseda Anthropomorphic Saxophonist Robot series represents a culmination of decades of research in humanoid robotics and musical expression. IEEE Fellow (2020-present) Robotics Society of Japan Fellow (2012-present) Japan Society of Mechanical Engineers Fellow (2007-present) Multiple Best Paper Awards from IEEE conferences (ICRA, IROS, ROMANSY) BusinessWeek Asia's Stars Bloomberg (2001) IFToMM Award of Merit (2010) Professor Takanishi has maintained extensive collaborations with research institutions worldwide, particularly with Italian institutions through the Italy-Japan Workshop series. His laboratory has secured substantial funding from Japanese government agencies including the Japan Science and Technology Agency, with particular emphasis on projects bridging robotics with medical applications and human-centered technologies. His international recognition is evidenced by his numerous visiting professorships and collaborative projects across continents. Professor Takanishi leads the Takanishi Laboratory at Waseda University, which maintains specialized facilities for humanoid robotics development, medical robotics research, and human-robot interaction studies. The laboratory has developed several notable robotic platforms including the WABIAN series of bipedal humanoid robots, the WASEDA FLUTIST ROBOT, and various medical training simulators used in clinical education settings. His work on the WASEDA SAXOPHONIST ROBOT represents a unique fusion of musical artistry and robotics engineering.
Rhenish Friedrich Wilhelm University of BonnGermany
Prof. Waldemar Kolanus leads the Molecular Immunology and Cell Biology department at the University of Bonn's Life & Medical Sciences Institute (LIMES) . His research bridges immunoregulation , stem cell dynamics , and metabolic stress responses in immune cells. Unit 2 member at LIMES Principal investigator in SFB 704 and ImmunoSensation Cluster Leads a multidisciplinary lab with postdocs, PhD students, and technical staff His work focuses on intracellular signaling pathways connecting immune activation to tissue homeostasis, particularly through: Cytohesin proteins in integrin-mediated adhesion and migration TRIM71 in stem cell regulation and congenital hydrocephalus High-salt environments affecting macrophage function Publication trends show expertise in immune cell migration , genetic models , and chemical inhibition , with frequent use of mice and zebrafish for in vivo studies. Key articles explore: TRIM71's dual role in auditory development and germ cell maintenance Cytohesin family's Golgi regulation and insulin signaling Ruxolitinib's off-target migration inhibition of dendritic cells Contact details: Address: LIMES Institute, Carl-Troll-Straße 31, Bonn Email: kolanus.sekretariat@uni-bonn.de Phone: +49 228 73-62788
Eli Ben-Michael is an Assistant Professor jointly appointed in the Heinz College of Information Systems and Public Policy and the Department of Statistics & Data Science at Carnegie Mellon University. He is affiliated with the CMU-NIST AI Measurement Science & Engineering Cooperative Research Center (AIMSEC), contributing to cutting-edge research at the intersection of statistics, policy analysis, and artificial intelligence. His educational background includes a PhD in Statistics from U.C. Berkeley and undergraduate studies at Columbia University where he earned a dual degree in Computer Science and Statistics. Prior to his current position, he completed a postdoctoral fellowship at Harvard University's Institute for Quantitative Social Science and Department of Statistics. Ben-Michael's research focuses on developing innovative statistical and computational methods for causal inference and policy evaluation, with particular emphasis on integrating machine learning techniques to address complex problems in public policy and social science. His work bridges theoretical statistics with practical applications in healthcare, criminal justice, education, and social policy. Current research directions include safe policy learning, sensitivity analysis for clustered data, and methodological innovations for the synthetic control method. His publication record shows a strong trajectory in top-tier journals including Journal of the American Statistical Association, Journal of the Royal Statistical Society, and Proceedings of ICML. Recent work demonstrates increasing focus on policy-relevant applications including abortion legislation impacts, pre-trial risk assessment, and healthcare disparities, while maintaining methodological rigor in causal inference frameworks. Ben-Michael has developed open-source software tools including augsynth and multical R packages, which implement his methodological contributions for synthetic controls and multilevel calibration weighting. These packages have been adopted by researchers in multiple disciplines for causal inference applications.
London School of Economics and Political Science (LSE)United Kingdom
Tomila Lankina is a Professor of Politics and International Relations at the London School of Economics (LSE), specializing in democratization, popular protest, and Russian and Eastern European politics. She holds a DPhil from the University of Oxford and has held research appointments at institutions such as Stanford University and Humboldt University in Berlin. Her work examines historical legacies of social structure and their implications for democracy, inequality, and political regimes. Her groundbreaking book The Estate Origins of Democracy in Russia (Cambridge University Press, 2022) explores how pre-communist social stratification in Russia shapes contemporary political outcomes. The book has received major accolades, including the 2023 J. David Greenstone Prize and Davis Center Book Prize. Lankina’s research also addresses modern issues like Russian media manipulation, post-communist social resilience, and the impact of historical institutions on modern governance. Active in supporting Ukrainian scholars during Russia’s invasion of Ukraine, Lankina co-founded an LSE Taskforce to assist displaced students and researchers. She has been recognized for her excellence in PhD supervision by LSE and has published widely in top journals like the American Political Science Review and World Politics . Her interdisciplinary approach combines historical analysis with contemporary political dynamics, emphasizing the persistence of social hierarchies and their role in shaping autocracy and democracy. Current projects include a book on Russian dissent history and comparative studies of post-colonial and post-communist societies.
Lisa L. Wynn is Professor in the School of Social Sciences (Discipline of Anthropology) at Macquarie University in Sydney, Australia. She serves as Associate Editor of American Ethnologist (2022-2027) and previously held leadership positions including President of the Australian Anthropological Society (2020) and membership on the AAS Executive Committee (2018-2021). Wynn earned her PhD in 2003 from Princeton University's Anthropology Department, followed by postdoctoral positions at Princeton's Office of Population Research and Center for Health and Wellbeing. Her research program centers on gender, reproductive health technologies, sexuality, and religion, with continuous fieldwork in Egypt since 1998. More recently, she has expanded her work to examine ethics review bureaucracies, lay understandings of infectious disease, and young adult vaping behaviors in Australia. Her methodological approach combines deep ethnographic engagement with critical analysis of how power structures intersect with medical technologies and bodily experiences, particularly among marginalized communities. Analysis of her recent publications reveals an evolving trajectory that maintains her foundational interest in Middle Eastern contexts while increasingly addressing digital spaces (as seen in studies of online fatwas) and contemporary health crises (including pandemic responses and vaping culture), with consistent attention to bodily autonomy and reproductive justice. Her significant scholarly contributions have been recognized through multiple prestigious awards: Vice Chancellor's Teaching Excellence Award from Macquarie University (2009) Australian Award for Teaching Excellence (2012) OLT National Teaching Fellowship (2012-2014) Leeds Honor Prize from the Society for Urban, National, and Transnational/Global Anthropology (2008) Wynn actively mentors graduate researchers specializing in gender, sexuality, medicine and technology, with particular emphasis on sexual and reproductive health. Her research program has received substantial funding from the Social Science Research Council, Australian Research Council, Office of Learning and Teaching, and Hort Innovation. Notably, she co-led a major international project to develop multilingual sexual and reproductive health resources that have reached millions of users across 208 countries. She also created a free online ethics training program for humanities and social sciences researchers at Macquarie University. Through collaborations with Cambridge Reproductive Health Consultants and other partners, Wynn has successfully translated academic research into accessible public resources, including evidence-based information on medication abortion available in six languages (English, Spanish, French, Arabic, Turkish, and Farsi).
Rutgers, The State University of New JerseyUnited States
Sharon Levy is an Assistant Professor in the Department of Computer Science at Rutgers University, USA. Her research focuses on Natural Language Processing (NLP) with an emphasis on Responsible AI, addressing fairness, safety, and trustworthiness in language systems. She holds a Ph.D. from the University of California, Santa Barbara (2023), and conducted postdoctoral work at Johns Hopkins University (2023-2024). Education: PhD in Computer Science (UCSB, 2023), MS (UCSB, 2018), BS (UCSB, 2017). Professional experience includes roles at AWS, Facebook AI, Pinterest, and Akamai Technologies. Research Interests: Fairness in non-English contexts, safety of LLM outputs, misinformation detection, and computational social science applications. Her work frequently intersects with public health, gender studies, and political science. Teaching: Instructs Rutgers' Natural Language Processing course (Spring 2025) and co-taught JHU's Trustworthy NLP course. Active guest lecturer at institutions including Stanford and UT Austin. Mentorship: Supervises 14+ students across PhD, MS, and undergraduate levels, with notable advisees winning CRA awards. Labs/Teams: Currently leads research within Rutgers' CS department, previously collaborated with Johns Hopkins' CLSP.
Craig Jin is an Associate Professor at the University of Sydney, leading the CARlab (Computing and Audio Research Laboratory) and Spatial Audio Research initiatives within the School of Electrical and Computer Engineering. He holds a BS from Stanford University, an MS from Caltech, and a PhD from the University of Sydney. His work focuses on immersive audio technologies, biomedical signal processing, and assistive technologies for sensory augmentation. Research interests include spatial audio reproduction, binaural processing, acoustic sensing for accessibility, and machine learning applications in signal processing. Key contributions span HRTF interpolation, noise reduction algorithms, and acoustic touch systems for the visually impaired. Recent projects include real-time MRI analysis of vocal tract dynamics and sparse recovery techniques for sound field reconstruction. His publications span over 150 peer-reviewed articles in journals like IEEE Transactions on Audio, Speech, and Language Processing, and conferences such as ICASSP. He advises four current PhD/Master’s students on projects like predictive gesture tracking, voice disorder classification, and magnetic resonance imaging techniques.
