Helen Lu is an Associate Professor of Accounting and AI at Vlerick Business School and a Senior Lecturer at the University of Auckland (FinTech Lead for the Master's in Business Analytics). She holds a PhD in Finance from Massey University, an MBA from London Business School, a Master's in Economics (Macroeconomics) from Peking University, and a Bachelor's in Computer Science Engineering from Northern Jiaotong University. Her research focuses on integrating AI into accounting and finance, including valuation, return predictability, ESG disclosure, executive succession, and FinTech disruptions. Before academia, Lu worked in investment banking at Credit Suisse and Deutsche Bank, specializing in capital raising and cross-border M&A in Asia-Pacific. Her work bridges academic research and industry practice, particularly in leveraging AI to solve complex financial and accounting challenges. She has published in top journals like the Journal of Accounting Research , Journal of Banking and Finance , and Journal of International Money and Finance . Her recent publications emphasize AI-driven valuation methods, ESG disclosure analysis, and the interplay between executive transitions and financial reporting. Her articles often highlight the application of machine learning to traditional finance problems, such as tail risk assessment and anomaly strategy correlations. Lu’s expertise spans multiple domains, with a focus on transforming data-driven technologies into actionable insights for financial decision-making. She actively contributes to academic discourse on sustainability metrics, particularly green asset valuation and corporate governance during crises.
Professor Henning Grosse Ruse Khan is a leading academic in International and European Intellectual Property (IP) Law at the University of Cambridge, where he serves as Professor of Law, Co-Director of the Centre for Intellectual Property and Information Law (CIPIL), and Fellow of King’s College. He also holds affiliations with the Lauterpacht Centre for International Law and has been a Global Hauser Visiting Professor at New York University (2024). Education: Dr iur (University of Münster, Germany) Research Focus: His work bridges IP law with trade, investment, and technology, emphasizing sustainable development, environmental law, and the ethical implications of automation. Recent projects explore AI regulation, data access, and the legal dimensions of the Anthropocene. Key Article Trends: His publications analyze TRIPS-Plus agreements, investor-state disputes, and the intersection of IP with environmental and human rights frameworks. Themes include platform governance, data law, and historical justice. Scientific Honors: Distinguished Fellow, Hanken School of Economics (2016-2017) Global Hauser Visiting Professor, NYU (2024) Senior Fellow, Max Planck Institute (2013-2022) Co-Founder, Society of International Economic Law (SIEL) IP Network Advising & Grants: He advises the World Intellectual Property Organization (WIPO) and contributes to policy reports, including the UN ESCAP Handbook on Negotiating Development-Oriented Provisions in Trade and Investment Agreements (2017). His research has been funded by the 6th EU Framework Programme and other international bodies. Labs & Teams: As Co-Director of CIPIL, he leads research on global IP governance. He is affiliated with the Centre for Law, Medicine and Life Sciences (LML) and the Society of International Economic Law (SIEL).
Lucila Ohno-Machado, MD, PhD, MBA, is the Waldemar von Zedtwitz Professor of Medicine and Biomedical Informatics and Data Science at Yale University. She serves as Deputy Dean for Biomedical Informatics and Chair of the Department of Biomedical Informatics and Data Science at the Yale School of Medicine. Her leadership roles include overseeing informatics infrastructure for Yale’s academic health system and fostering interdisciplinary collaboration across departments such as Medicine and the Halicioğlu Data Science Institute (previously at UCSD). Ohno-Machado holds an MD from the University of São Paulo (Brazil), an MBA from Fundação Getúlio Vargas (Brazil), and a PhD in Medical Information Sciences and Computer Science from Stanford University. She has held faculty positions at Harvard Medical School, MIT’s Health Sciences and Technology Division, and the UCSD Health Department of Biomedical Informatics, where she pioneered federated learning and privacy-preserving AI methodologies. Her research focuses on predictive analytics, federated learning, quantum computing in healthcare, and blockchain applications to enhance data security. She emphasizes addressing algorithmic bias and promoting health equity through data-driven solutions. Recent work includes developing frameworks for medical device safety evaluation and guiding principles to mitigate disparities in algorithmic healthcare applications. Key achievements include the Inaugural Helen M. Ranney Award (2024), election to the National Academy of Medicine (2024), and the William W. Stead Award (2019). She has led NIH-funded informatics centers and contributed to the first large-scale clinical data-sharing initiative across five UC medical systems. Her grants span AHRQ, PCORI, NSF, and blockchain-related initiatives through the IT/NIST Challenge Award. Ohno-Machado advises on translational research strategies and mentors teams in YBIC (Yale Biomedical Informatics & Computing). Her lab collaborates globally, leveraging federated models and AI to advance personalized medicine while prioritizing patient privacy. She also chairs the OHER Awards for Yale Research Excellence, promoting interdisciplinary health equity research.
Thomas Graham is an Assistant Professor and PhytoGro Research Chair in Controlled Environment Systems at the University of Guelph, where he also serves as R&D Manager for the Controlled Environment Systems Research Facility (CESRF). His academic journey includes a BSc in Environmental Sciences from the University of Guelph and Stirling University (1997), an MSc in Horticulture (2001), and a PhD in Environmental Biology (2012), all from the University of Guelph. He completed a NASA Post-Doctoral Fellowship (2012–2015) at Kennedy Space Center, focusing on bioregenerative life-support systems for space exploration. Dr. Graham’s research expertise spans controlled environment agriculture (CEA) , space biology , medicinal crop production , and water remediation . He leads projects addressing food security, crop diversification in urban farming, and sustainable practices for high-intensity agriculture. Key initiatives include developing CEA systems for medical crops, optimizing tree crops for spaceflight, and advancing composting-based closed-loop systems. His scientific contributions are reflected in roles as Associate Editor for Gravitational and Space Research and Editor for special issues on Agriculture in Space . He collaborates with NASA, USDA, OMAFRA, and international agencies like the German Space Agency (DLR). Awards include the NASA Post-Doctoral Research Fellowship. Dr. Graham emphasizes mentorship, conducting bi-weekly graduate meetings and fostering student autonomy while providing structured support. His lab integrates interdisciplinary approaches to tackle global challenges, from climate resilience to lunar food production.
Urban Persson is a Professor at Halmstad University's Academy of Entrepreneurship, Innovation and Sustainability. He holds a Tech. Dr. in Energy and Environmental Technology from Chalmers University of Technology. His research focuses on energy efficiency, renewable energy resources, and district heating systems, particularly in European contexts. Key projects include Heat Roadmap Europe, Decarb City Pipes 2050, and Pan-European Thermal Atlas. Persson has authored over 30 publications on district heating optimization, GIS-driven energy planning, and heat resource assessments. His work emphasizes sustainable energy transitions and leveraging spatial data for infrastructure design. Education: Technical Doctorate (Energy & Environmental Technology), Chalmers University of Technology. Research Projects: Solar-powered district heating with pit storage for Swedish conditions Heat Roadmap Europe Decarb City Pipes 2050 Pan-European Thermal Atlas Research Interests: District heating economics, GIS applications in energy systems, waste heat utilization, and decarbonization pathways.
Patience Moyo Dow, PhD is an Associate Professor in Health Services, Policy and Practice at Brown University School of Public Health. She holds affiliations with the Center for Gerontology and Healthcare Research and the Center for Alcohol and Addiction Studies. Her research focuses on opioid use disorder, chronic pain management, and healthcare policy using large administrative datasets. Doctoral training: PhD in Pharmaceutical Health Services Research from University of Maryland Baltimore (2017) Postdoctoral Fellowship: University of Pittsburgh Health Policy Institute & VA Pittsburgh Center for Health Equity Research and Promotion Key research areas include: - Policy evaluation of medication treatments for opioid use disorder - Pain management strategies (pharmacologic/nonpharmacologic) - Skilled nursing facility access for marginalized populations - Medicaid/Medicare policy impacts on healthcare utilization Funded by NIH and competitive internal grants studying opioid-related healthcare outcomes and policy interventions.
Prof. Julia Hearts is a Professor at the Technical University of Munich (TUM) , affiliated with the School of Natural Sciences . Her research focuses on biomedical imaging , particularly advancing X-ray computed tomography through phase-contrast and dark-field radiography for clinical and biological applications. Developing spectral detection techniques to enhance diagnostic accuracy Quantitative imaging for element-specific parameter extraction Utilizing synchrotron radiation and standard X-ray tubes Her recent publications demonstrate expertise in dark-field radiography for lung and breast imaging, phase-contrast tomography for tissue characterization, and multi-spectral X-ray analysis for material decomposition. Collaborative work spans oncology , pulmonology , and materials science . Contact: julia.herzen@tum.de
Tim J. Nye is an Associate Professor in the Department of Mechanical Engineering at McMaster University's Faculty of Engineering. He holds a Ph.D. in Mechanical Engineering (1997) from the University of Waterloo, following an M.Sc. (1989) at Ohio State and B.A.Sc. (1987) at Waterloo. His research focuses on applying operations research techniques to manufacturing systems, with specific expertise in optimization algorithms for sheet metal processes, hydroforming reliability, and adaptive control in forging. Education: Ph.D. Mechanical Engineering, University of Waterloo (1997) M.Sc. Mechanical Engineering, Ohio State (1989) B.A.Sc. Mechanical Engineering, University of Waterloo (1987) Research interests span multiple dimensions of advanced manufacturing: developing decision models for production investment, creating novel lot-sizing algorithms incorporating work-in-process costs, exact solutions for 2D nesting problems, and agent-based systems for reliability prediction using warranty data. His work bridges theoretical operations research with practical metal forming applications. Recent publications demonstrate consistent contributions to manufacturing optimization, with particular focus on stamping processes, sheet metal design, and hydroforming reliability. These align with McMaster's research clusters in Advanced Materials & Manufacturing and Infrastructure. Scientific awards include the 2002 CSME Best Student Paper competition win for machine vision research with S. Dworkin. He maintains active collaborations with industry partners, as evidenced by his research on industry-university R&D ventures. Current projects explore intelligent open die forging as a solid freeform fabrication method, demonstrating his commitment to both traditional manufacturing improvement and emerging rapid prototyping technologies.
Paco Martorell is an Assistant Professor at the School of Education, University of California, Davis, where he has been faculty since 2014. He maintains an adjunct appointment as an Economist at the RAND Corporation, continuing a relationship that began in 2005. Previously, he served as a Professor at the Pardee RAND Graduate School (2006-2014) and Research Scholar at the University of Texas at Dallas Center for Research on Education Policy (2012-present). Education includes: PhD in Economics, University of California, Berkeley (2005) BA in Economics and Mathematics, Carleton College (1999) Martorell's research spans higher education and K-12 policy with emphasis on: Developmental education reforms and college placement systems Grade retention impacts and student promotion policies Economic analysis of for-profit colleges and community college subsidies School infrastructure investments and resource allocation Military service consequences on education and economics Healthcare economics including dementia cost studies His work employs quasi-experimental designs and field experiments to evaluate policy effectiveness. Research publications predominantly focus on education policy evaluation and health economics, with recurring themes of equity in educational access, economic analysis of interventions, and longitudinal impacts of policy decisions. Quantitative methods form the core of his analytical approach. Awards and honors include: Huddleson Award for Outstanding Teaching (2009) RAND President's Award (2008) Public Policy Research Award from UC Berkeley (2005) Grant leadership includes multiple Institute of Education Sciences (IES) projects as Principal Investigator and Co-Investigator, examining: School facility spending impacts (R305A140363) Developmental education interventions (R305H130026) Long-term effects of grade retention (R305E120006) Community college subsidy impacts (R305A100369) Additional funding sources include Spencer Foundation, NICHD, and Smith Richardson Foundation. He teaches doctoral courses in education policy and previously taught econometrics at Pardee RAND Graduate School (2006-2013).
Mattias Brunström serves as Assistant Professor of Cardiology and Associate Professor of Epidemiology at Umeå University's Faculty of Medicine within the Department of Public Health and Clinical Medicine, Section of Cardiology. He is concurrently a resident physician at Norrlands University Hospital and holds leadership roles as chairman of Sweden's national hypertension working group and scientific secretary of the Swedish Society for Hypertension, Stroke and Vascular Medicine, with active participation in the European and International Societies of Hypertension. His academic foundation includes a 2018 PhD thesis examining blood pressure-lowering treatment effects across different blood pressure levels through systematic reviews and meta-analyses of randomized clinical trials. This doctoral work established his expertise in evidence-based cardiovascular therapeutics and epidemiological methodology. Dr. Brunström's research program centers on cardiovascular disease risk factors, with specialized focus on hypertension pathophysiology and aortic diseases. His group investigates how adolescent blood pressure levels predict future cardiovascular events, examining interactions with obesity, physical fitness, and diabetes to improve risk stratification. They also analyze differential effects of antihypertensive drug classes on cardiovascular outcomes and study risk factors for aortic dissection/rupture to optimize preventive surgical interventions. This work addresses critical gaps in managing the world's leading cause of death, where uncontrolled hypertension contributes to 10 million annual fatalities despite effective treatments. Analysis of his 2024-2025 publications reveals dominant themes in hypertension guideline development, treatment threshold controversies, and cardiovascular risk assessment. His work frequently challenges conventional approaches (e.g., questioning excessive treatment of 'elevated' blood pressure in elderly patients) while advancing evidence for lifestyle interventions and beta-blocker utility. Methodologically, his research leverages large cohort studies (including 1.4 million enlistee data), systematic reviews, and international collaborations through societies like ESH and ISH to translate epidemiological findings into clinical practice. Dr. Brunström leads multiple funded research initiatives including 'Remission of type 2 diabetes through eHealth' (2022-2028) and 'VIPviza' (2013-2027), directing a multidisciplinary team that bridges clinical cardiology, epidemiology, and public health. His advisory role extends to national guideline committees and international hypertension societies where he shapes clinical practice through evidence synthesis and position papers. Based at Norrlands University Hospital's Cardiology Section, his research group operates within Umeå University's strong cardiovascular research ecosystem, maintaining active collaborations with the Swedish National Diabetes Register and international consortia. Their work emphasizes real-world applicability, examining topics like bedtime dosing of antihypertensives and self-report diagnostic tools to overcome barriers in hypertension control where only 25% of affected individuals achieve target blood pressure levels.
Perpetua Kirby is an Assistant Professor in Childhood and Youth (Education) at the School of Education and Social Work, University of Sussex . She specializes in children’s rights, participation, and agency, utilizing ethnographic and multimodal methodologies to explore democratic approaches to education. Her work bridges research and practice, focusing on sustainability education and transformative models through collaborations with organizations like the Centre for Innovation and Research in Childhood and Youth (CIRCY) and the Centre for Teaching and Learning Research (CTLR) . Research Themes: Children’s rights and agency in educational settings Interdisciplinary sustainability education (Global North/South) Ethnographic and creative research methods Transformative pedagogies for climate uncertainty Key Projects: Nuffield-funded study on children’s voices and data in UK local authorities Collaboration with PASTRES Programme on art-based climate pedagogy Fellow of Sussex Sustainability Research Programme (SSRP) Scientific Awards: Fellow of the Sussex Sustainability Research Programme (SSRP) Teaching: Co-convenes Forest Food Garden elective at University of Sussex Supervises MA in Education and doctoral research training Media Impact: Featured in BBC Radio 4’s Women’s Hour, Financial Times, Huffington Post
Derek T. Robinson is an Associate Professor at the University of Waterloo's Department of Geography and Environmental Management , specializing in land-use science, agent-based modeling, and geospatial analysis. His work integrates GIS, ecological models, and human decision-making to assess impacts of land policies on ecosystem services and human well-being. Research Interests : Land-use/cover change and carbon cycle dynamics Agent-based modeling of socio-ecological systems Exurban land management and fragmentation Ecosystem service quantification Land policy scenario analysis Teaching : Courses in spatial analysis, advanced GIS, and land-use-carbon interactions. His lab utilizes cutting-edge tools like ArcGIS, NetLogo, and UAV systems (e.g., Aeryon SkyRanger) for fieldwork and modeling.
Jiaxuan Li is an Assistant Professor of Geophysics in the Department of Earth and Atmospheric Sciences at the University of Houston's College of Natural Sciences and Mathematics. His research focuses on developing fiber-optic sensing technologies for seismic monitoring across diverse geological environments including volcanic, crustal, and glacial settings. Dr. Li's educational background includes a Ph.D. in Geophysics from the University of Houston (2015-2020) and a B.S. in Geophysics from Peking University (2011-2015). He previously held a postdoctoral position at Caltech Seismolab under Prof. Zhongwen Zhan. His research program centers on distributed acoustic sensing (DAS) applications, with major contributions in volcanic eruption forecasting through minute-scale magma migration imaging, earthquake rupture dynamics via high-frequency fault asperity analysis, and subsurface characterization for carbon sequestration and geothermal energy. Recent work demonstrates DAS capabilities as dense geodetic arrays for real-time volcanic monitoring systems deployed in Iceland through collaborations with the Icelandic Met Office and Reykjavik University. Analysis of Dr. Li's publication record reveals a strong emphasis on operationalizing fiber-optic networks for geophysical monitoring, with significant advancements in eruption early warning systems, earthquake source characterization, and subsurface imaging techniques. His work bridges fundamental seismological research with practical hazard mitigation applications. Dr. Li actively mentors graduate students and recently welcomed postdoc Dr. Tianfan Yan to his research team. His lab operates real-time DAS streaming systems for volcanic eruption monitoring in Iceland, developed through international collaborations involving the University of Houston, Caltech, Ljósleiðarann, and Reykjavik University. Current research directions include expanding DAS applications for carbon sequestration verification and deep geothermal reservoir characterization.
Professor Christopher Price serves as Deputy Director of the NIHR Applied Research Collaboration (ARC) North East and North Cumbria (NENC) and holds the position of Professor of Stroke and Applied Health Research at Newcastle University's Faculty of Medical Sciences. He also functions as the NIHR's National Specialty Lead for Stroke and maintains a clinical role as a Stroke Medicine Consultant with the Northumbria Healthcare NHS Foundation Trust. Professor Price completed his medical training with an MB ChB (hons) from Birmingham in 1992, earned his MD from Newcastle University in 2003, and became a Fellow of the Royal College of Physicians (FRCP) in 2006 while simultaneously completing his MClinEd at Newcastle. As a clinical researcher, Professor Price specializes in developing and implementing interventions that improve emergency stroke treatment access. His work focuses on three main pillars: clinical trials of non-pharmaceutical technologies in stroke care, translational studies of diagnostics, and evaluation of service provision models. He has pioneered ambulance-based clinical trials evaluating novel point-of-care diagnostics and enhanced clinical assessment processes for suspected stroke patients. His research extends to stroke recovery, where he investigates innovative approaches like wristband accelerometry to encourage upper limb activity and collect recovery biomarker data. The Stroke Association has recognized his contributions with the HRH Princess Margaret Senior Reader Fellowship. Professor Price's recent publications reveal a strategic shift toward system-level interventions addressing the entire stroke care pathway. His work increasingly examines mobile stroke units, health equity in stroke care, and implementation challenges of new treatment pathways across the NHS. There's a clear progression from individual diagnostic tools toward comprehensive service redesign that considers geographic accessibility, cost-effectiveness, and patient-centered outcomes. The Stroke Association HRH Princess Margaret Senior Reader Fellowship Stroke Association HRH Princess Margaret Research Development Fellow Professor Price has mentored several doctoral researchers including Graham McClelland (focusing on stroke mimic probability scores), Eugene Tsang (researching post-stroke dementia), and Sarah Moore (investigating physical activity interventions after stroke). He has secured substantial research funding totaling millions of pounds from major organizations including the Medical Research Council, Innovate UK, NIHR, and The Stroke Association. His most significant grants include the £3 million RATULS trial on robot-assisted upper limb rehabilitation after stroke and the £1.96 million NIHR Programme Grant for 'Promoting Effective And Rapid Stroke Care,' which evaluated enhanced paramedic assessment processes for stroke patients. Professor Price leads the Stroke Research Group within Newcastle University's Population Health Sciences Institute. His team maintains strong collaborations with national and international academic institutions, industry partners, the North East Ambulance Service, and multiple NHS Trusts. The group has gained particular recognition for its innovative ambulance-based clinical trials, including the landmark PASTA trial published in JAMA Neurology, which demonstrated how enhanced paramedic assessment improves thrombolysis delivery during emergency stroke care.
Professor Nikolaos Koutsouleris serves as a Research Group Leader for the Max Planck Fellow Group for Precision Psychiatry at the Max Planck Institute of Psychiatry and holds a position as Senior Physician in the Department of Psychiatry and Psychotherapy at Ludwig Maximilian University (LMU) Munich. His work bridges clinical practice with advanced computational approaches to transform psychiatric diagnostics and treatment. Dr. Koutsouleris specializes in predictive psychiatry, focusing on extracting meaningful patterns from neurobiological, neurocognitive, and clinical data to improve early recognition of functional psychoses. His research employs structural MRI, neuropsychological testing, and clinical evaluations within cross-sectional and longitudinal studies, utilizing advanced machine learning methods to identify and validate biomarkers for single-subject prediction of psychosis. As head of the Early Psychosis Studies and the Workgroup for Neurodiagnostic Applications, he drives initiatives to implement predictive models across healthcare settings for personalized management of high-risk individuals. His publication record reveals a consistent focus on machine learning applications in psychiatry, with recent work addressing critical issues like the generalizability of clinical prediction models, brain aging patterns in large populations, and multimodal approaches to psychosis prediction. His research spans from fundamental methodological challenges to clinical applications, demonstrating how AI and machine learning are transforming psychiatric practice toward precision medicine. Dr. Koutsouleris actively trains pre- and post-doctoral investigators in advanced data analysis techniques, emphasizing comprehensive analysis of complex, high-dimensional datasets using multivariate methods. His leadership in the PRONIA Consortium and other collaborative efforts highlights his commitment to advancing the field through international cooperation and rigorous scientific inquiry.
