Giancarlo Ferrari Trecate is an Adjunct Professor at the Swiss Federal Institute of Technology Lausanne (EPFL) , affiliated with the School of Engineering and the SCI-STI-GFT department. He is also involved in teaching and research through the STI-SGM and EDRS-ENS programs. Research Interests : Automatic control, state estimation, system identification, machine learning, distributed control, hybrid systems, microgrids, biochemical networks, voltage and frequency stabilization in AC/DC microgrids. Publications Trends : His recent work focuses on integrating Neural ODEs and Hamiltonian structures for stable control systems, regret minimization in distributed control, and robust state estimation under uncertainty. Applications include autonomous mobility-on-demand , power grid optimization , and secure microgrid control against cyber-attacks. Scientific Awards : No specific awards mentioned in the provided data. Teaching & Advising : He supervises PhD students in mechanical engineering and teaches courses on Multivariable control and Networked control systems . His lab, DECODE , specializes in Dependable Control and Decision systems.
Lucas Janson is an Associate Professor of Statistics and Affiliate in Computer Science at Harvard University. He leads the Harvard Statistical Consulting Service, supervising PhD students advising hundreds of researchers annually. His research focuses on high-dimensional inference, statistical machine learning, and applications in genetics, political science, and climatology. He teaches courses such as Statistical Inference I, Reinforcement Learning, and Statistical Machine Learning. His work bridges theoretical advancements with practical applications, including contributions to robotics motion planning and microbiome data analysis. Key research areas include variable importance inference, safe reinforcement learning, compositional data analysis, and robust paleoclimate reconstructions. His methodologies are implemented in software packages like Floodgate, EigenPrism, and Fast Marching Tree (FMT*). He advises a dynamic group of PhD students and has mentored alumni now in academia and industry roles. Notable contributions include the development of model-X knockoffs for controlled variable selection, conditional randomization tests, and optimization algorithms for adaptive control systems. His work emphasizes statistical rigor while addressing real-world challenges in healthcare, environmental science, and robotics.
Nora Uglik-Marucha is an NIHR Doctoral Research Fellow at King’s College London’s Department of Biostatistics & Health Informatics, affiliated with the Institute of Psychiatry, Psychology & Neuroscience. Her work focuses on autism in women and misophonia through advanced psychometric methodologies. She holds MSc and BSc degrees in Clinical Neuropsychiatry and Psychology from King’s College London. Research interests include gender bias in autism screening tools, measurement invariance analysis, and questionnaire development. Her doctoral project develops novel autism assessment tools for women under Dr. Silia Vitoratou and Prof. Francesca Happé. Key contributions include the S-Five tool for misophonia assessment and validation studies across cultures. She has published on misophonia mechanisms, cross-cultural measurement robustness, and autism screening equity.
Laia Becares is a Professor of Social Science and Health at King's College London, part of the School of Global Affairs and the Department of Global Health & Social Medicine. She previously held roles at the University of Sussex (2018-2022) and the University of Manchester (2010-2018), where she maintains an Honorary position. She serves as an Editor of Sociology of Health and Illness and on the Academic Reference Group of the NHS Race and Health Observatory. Her work is funded by organizations such as the Nuffield Foundation and the Health Foundation. Laia holds a PhD in Social Epidemiology from University College London (UCL) and a Master's in Public Health from Boston University School of Public Health. Her research employs an interdisciplinary approach, collaborating with sociologists, psychiatrists, geographers, and demographers to understand how discrimination and marginalization perpetuate social and health inequities. Key areas include racism, homophobia/heterosexism, LGBTQ+ inequalities, and the impact of systemic oppression across life stages. She co-developed the Queerantine Study on pandemic impacts on LGBTQ+ communities and leads the ESRC Centre for Society and Mental Health, fostering student mentorship in health inequality topics. Her scientific awards include ESRC/MRC Postdoctoral Research Fellowship (2010-2012), Hallsworth Research Fellowship (2012-2016), and ESRC Future Research Leader Fellowship (2012-2015). Recent work focuses on ethnic healthcare disparities in multimorbidity and longitudinal studies of racism's effects on health outcomes. Ongoing projects include LGBTQ+ policymaking networks and the GHSM Anti Racism Steering Group, addressing structural inequities in academia and healthcare. Laia’s grants include Nuffield Foundation funding for ethnic inequalities in later life and Health Foundation support for healthcare equity studies. She advocates for integrating lived experiences into research design, particularly through the Evidence for Equality National Survey (EVENS). Her lab affiliations include Queer@King’s and the ESRC Centre for Society and Mental Health, emphasizing collaborative, community-driven approaches.
Marguerite M. Pinto, MBBS, serves as a Clinical Assistant Professor in the Department of Pathology at Yale School of Medicine. With decades of experience in cytopathology, Dr. Pinto specializes in diagnosing diseases through cellular examination of tissue samples, with particular expertise in fine needle aspiration techniques and cytologic diagnosis. She has maintained a strong clinical focus throughout her career, emphasizing the importance of accurate diagnosis to avoid unnecessary patient testing and biopsies. Dr. Pinto's educational background includes: MBBS from St. John's Medical College (1969) Residency at Bridgeport Hospital (1975) Fellowship at Children's Hospital of Philadelphia (1976) Fellowship at Milton S. Hershey Medical Center (1977) Her research focuses on improving diagnostic accuracy in cytopathology, particularly through the application of biomarker testing in fine needle aspirates. Dr. Pinto has specialized interest in clinical research involving small case series to develop practical diagnostic methods applicable in any laboratory setting. Her work has contributed significantly to the understanding of tumor markers like carcinoembryonic antigen (CEA) and CA-125 in the diagnosis of various cancers, with particular applications in breast, gynecologic, pancreatic, and pulmonary pathologies. She approaches diagnostic pathology with the philosophy that accuracy directly impacts patient care quality, minimizing unnecessary procedures while ensuring definitive diagnoses. Dr. Pinto's publication record from 1991-1997 demonstrates a focused research trajectory examining how tumor markers can enhance traditional cytologic diagnosis. Her work consistently explored the diagnostic value of CEA and CA-125 across multiple organ systems, establishing evidence for their practical application in fine needle aspiration biopsies. This research has contributed to standardized protocols for using these biomarkers as diagnostic adjuncts in cytopathology. Her professional recognition includes: American Cancer Award (April 14, 2009) Dr. Pinto maintains active clinical practice at Yale Medicine, where she applies her expertise in cytopathology to patient care. Her professional legacy extends beyond her own work, as she comes from a multi-generational medical family - her father was a medical school dean, and her daughter graduated from Yale School of Medicine to become a transplant cardiologist, continuing the family tradition. Dr. Pinto has been affiliated with the Norma Pfriem Cancer Center at Bridgeport Hospital from 1997-2012, contributing her cytopathology expertise to cancer diagnosis and treatment.
Aaron Roth is the Henry Salvatori Professor of Computer and Cognitive Science at the University of Pennsylvania, affiliated with the Department of Computer and Information Science in the School of Engineering and Applied Science. He holds a secondary appointment in the Department of Statistics and Data Science at the Wharton School and is associated with several research centers including PRiML, the Warren Center for Network and Data Sciences, and the AMCS program. He received his PhD from Carnegie Mellon University under Avrim Blum and was a postdoc at Microsoft Research New England. His research focuses on algorithms and machine learning, particularly in private data analysis, fairness in machine learning, game theory, mechanism design, and learning theory. His work bridges theoretical computer science with societal concerns, advocating for ethically aware algorithm design. He co-authored the book The Ethical Algorithm with Michael Kearns, which explores how to embed social values like privacy and fairness into algorithmic systems. His recent publications show a strong trend toward uncertainty quantification, multicalibration, conformal prediction, and fairness in reinforcement learning and high-dimensional settings. He frequently publishes in top-tier venues such as STOC, FOCS, ICML, NeurIPS, and COLT, often with a focus on rigorous theoretical foundations with practical implications. Hans Sigrist Prize Presidential Early Career Award for Scientists and Engineers (PECASE) Alfred P. Sloan Research Fellowship NSF CAREER award Google Faculty Research Award Amazon Research Award Yahoo Academic Career Enhancement award Roth has advised numerous PhD students and postdocs, many of whom now hold academic or industry research positions. He is also an Amazon Scholar at AWS and has served in advisory roles for companies like Apple, Facebook, Leapyear, and Spectrum Labs. He has been active in organizing workshops and tutorials on differential privacy, fairness, and adaptive data analysis, and has given keynotes at major conferences and institutions worldwide. He leads research groups and collaborates widely across Penn, focusing on responsible AI, privacy, and algorithmic fairness. His lab produces foundational work on calibration, unlearning, privacy-preserving learning, and equitable decision-making systems.
Simon Mak is an Assistant Professor of Statistical Science at Duke University and a Faculty Network Member of the Duke Institute for Brain Sciences. His educational background includes: Ph.D. in Statistics, Georgia Institute of Technology (2018) M.S. in Statistics, Georgia Institute of Technology (2018) B.S. in Statistics, Simon Fraser University (2013) Dr. Mak's research focuses on advanced statistical methodologies for complex scientific problems. His expertise spans statistical modeling , Bayesian inference , Gaussian process emulation , and uncertainty quantification . He applies these methods to nuclear physics (heavy-ion collisions), engineering (engine control systems), and music information retrieval, emphasizing scalability and interpretability in scientific computing. Analysis of his 2023-2025 publications reveals dominant trends in scalable Gaussian process methods for massive datasets and multi-fidelity simulations, particularly applied to high-energy physics and engineering systems. He has pioneered innovations in Bayesian optimization for expensive simulators and developed novel frameworks for online change-point detection in streaming data, demonstrating exceptional cross-disciplinary impact. Dr. Mak leads multiple significant research initiatives: Collaborative Research: Cost-Efficient and Confident Sampling for Modern Scientific Discovery (2023-2026) Science-Integrated Predictive modeLing (SCINPL) for scalable scientific computing (2022-2025) The X-SCAPE collaboration for statistically advanced nuclear collision modeling (2020-2025) These projects fund his development of statistical frameworks for scientific discovery in complex systems. He actively contributes to the JETSCAPE collaboration, developing multi-stage frameworks for studying jet quenching in heavy-ion collisions, and applies statistical methods through the Duke Institute for Brain Sciences to advance neuroscience research.
Dr. Friedrich Götz is an Associate Professor of Psychology in the Department of Psychology at the University of British Columbia (Faculty of Arts). His research focuses on geographical psychology, exploring the causes and consequences of regional personality differences through an interdisciplinary Big Data approach. PhD, University of Cambridge (UK), 2021 MPhil, University of Cambridge (UK), 2017 BSc, University of Konstanz (Germany), 2016 Dr. Götz’s work bridges social and personality psychology with behavioral science, examining topics like mobility, migration, wanderlust, courage, and entrepreneurship. He co-developed large-scale survey studies with TIME Magazine, attracting over 3 million participants. His research often involves experience sampling methods and open science. His recent publications emphasize geographical psychology, personality-environment interactions, and methodological advancements. Articles span 2020–2025, with key themes including regional personality differences, misinformation susceptibility, and the psychological impact of environmental features. Rising Star Award (Association for Psychological Science), 2025 SAGE Emerging Scholar Award (Society for Personality and Social Psychology), 2025 Top 40 under 40 – Germany (CAPITAL Magazine), 2024 President’s New Researcher Award (Canadian Psychological Association), 2024 Best Dissertation Prize (German Psychological Society), 2021 Leading Scholar (Green College), 2021 Dr. Götz teaches undergraduate and graduate courses, including Personality Psychology and Contemporary Conceptual Issues in Personality, with a focus on geographical dimensions. He is based in the Personality and Geographical Ambiance (PANGEA) Lab, which prioritizes inclusivity and collaboration in studying person-environment interactions.
Philip J. Ethington is Professor of History, Political Science, and Spatial Sciences at the University of Southern California's Dornsife College of Letters, Arts, and Sciences. As Co-Director of the USC Center for Transformative Scholarship and Fellow of the Los Angeles Institute for the Humanities, he bridges historical scholarship with digital innovation through projects like HyperCities. Ethington's educational background includes: Ph.D. in History from Stanford University (1989) Postdoctoral Fellowship at Harvard University's Charles Warren Center (2007-2008) Getty Scholar at the Getty Research Institute (1996-1997) His research pioneers spatial theory of history through chronographs and digital cartography, examining urban evolution from Pleistocene times to present. Key interests include global metropolis studies , visual culture , and digital humanities , with focus on Los Angeles as a case study for transnational urban dynamics. Recent publications reveal consistent exploration of spatial dimensions in historical analysis, particularly through geographic institutionalism and deep historical regionalism. His work integrates cartographic innovation with theoretical frameworks to map urban change across millennia, emphasizing institutional ecology and transnational connections. Scientific recognition includes: Nomination for USC's Steven B. Sample Teaching Award (2010-2011) USC Interdisciplinary Faculty Fellowship (2004-2005) Award-winning documentary film Visual Acoustics (2009) Ethington mentors undergraduate researchers in urban history while leading major grants including MacArthur Foundation's HyperCities project ($238,000) and NEH's Digital Humanities initiative ($248,492). His funded work develops collaborative platforms for geohistorical research and digital publishing. He co-directs the USC History Lab and Center for Transformative Scholarship, fostering interdisciplinary collaboration through the Population Dynamics Lab and HyperCities consortium for participatory urban mapping.
Dr. Heike Wex is a prominent atmospheric scientist at the Leibniz Institute for Tropospheric Research in Leipzig, Germany, where she serves as a Researcher in the Atmospheric Microphysics department. With over two decades of continuous research since completing her PhD in 2002, she has established herself as a leading expert in aerosol-cloud interactions and ice nucleation processes. Her work spans multiple international collaborations and major research initiatives including (AC)³, PICNIC, MarParCloud, and PI-ICE projects. Her research focuses on experimental investigations and theoretical descriptions of aerosol-cloud interactions, with specific expertise in hygroscopic growth at high relative humidities (>99% RH), particle activation to cloud droplets, heterogeneous ice nucleation processes, and the role of atmospheric aerosol particles as nuclei for cloud droplets and ice formation. Her work bridges atmospheric physics, climate science, and environmental chemistry, with significant contributions to understanding how microscopic processes affect cloud formation and climate. Analysis of her recent publications reveals a strong focus on polar and marine environments, with particular attention to biological contributions to ice nucleation, seasonal variations in Arctic aerosols, and the development of advanced measurement techniques. Her work consistently addresses fundamental questions about how aerosols influence cloud properties and climate systems, with increasing emphasis on climate-relevant processes in polar regions. Dr. Wex has held significant leadership positions, including serving as Vice President of the International Commission on Clouds and Precipitation (ICCP) from 2021-2024. She is also actively engaged with Scientists for Future in Leipzig, demonstrating her commitment to addressing climate change through scientific expertise and public engagement. Beyond her research, she has organized numerous scientific workshops and field campaigns, including leadership roles in the LExNo experiment, FROST projects, and the 16th International Conference on Clouds and Precipitation. Her work has established important methodological approaches for studying ice nucleation and has contributed significantly to our understanding of aerosol impacts on cloud formation across diverse environments from the Arctic to the tropics.
Mohammadtaghi Hajiaghayi is the Jack and Rita G. Minker Professor of Computer Science at the University of Maryland, College Park. He is affiliated with the Robert H. Smith School of Business and holds Research Affiliate positions at MIT CSAIL and the Center for Discrete Mathematics and Theoretical Computer Science (DIMACS). His research focuses on algorithms, game theory, and network design, supported by NSF, ONR, and industry grants. He has received prestigious awards including ACM Fellow (2018) and EATCS Nerode Prize (2015) for his work on bidimensionality theory. Education: PhD from MIT (2005), postdocs at CMU and MIT, MSc from University of Waterloo, and BSc from Sharif University. He teaches courses like Data Science and Algorithms at UMD. Industry experience includes roles at Amazon, Google, and AT&T Labs. Over 20 students have graduated under his advisement, many in academia and industry. His work spans approximation algorithms, game theory, and big data. Projects include BigDND with Erik Demaine. He serves on editorial boards of Algorithmica, SODA, and others. Awards also include IEEE Fellow (2020) and Blavatnik Honoree (2020).
Tammy English is an Associate Professor in the Department of Psychological & Brain Sciences at Washington University in St. Louis, where she leads the Emotion and Relationships Laboratory. Her research investigates how individuals regulate emotions in real-world social contexts, with a focus on authenticity, interpersonal dynamics, and well-being across the lifespan. PhD, University of California, Berkeley MA, University of California, Berkeley BA, Swarthmore College Her research interests span emotion regulation , social psychology , affective science , interpersonal relationships , and developmental psychology , with increasing emphasis on aging, cognitive factors, and diversity in educational contexts. She employs intensive longitudinal methods such as experience sampling and ambulatory assessment to capture emotional dynamics in daily life. The most recent publications highlight trends in emotion regulation across adulthood , particularly how cognitive abilities, authenticity, and situational context influence regulatory success. Her work explores both intrapersonal and interpersonal emotion regulation, including its role in romantic relationships, intergroup interactions, and mental health conditions like depression. There is a strong methodological focus on ecological validity, momentary assessment, and distinguishing adaptive from maladaptive regulation. APS Fellow (2022) Tenured faculty (2019) Recipient of multiple NIA grants, including R01AG070139 Mentor to award-winning students (ExpiWell Dissertation Award, SPSP Heritage Award) Dr. English has advised numerous graduate students and postdoctoral researchers, including Tabea Springstein and Isidro Landa, and has secured significant grant funding from the National Institute on Aging to study the neural and motivational underpinnings of emotion regulation across the lifespan. Her lab collaborates widely, including with the Emotion and Mental Health Lab, and presents regularly at premier conferences such as the Society for Affective Science and the Association for Psychological Science. The Emotion and Relationships Lab conducts cutting-edge research on how people manage emotions in social contexts across adulthood, with special attention to aging, cognitive health, and educational equity. The lab uses mobile sensing, experience sampling, and experimental designs to study emotion regulation in real time and real-world settings.
Jacqueline Woerner is Associate Professor in Sociology and Psychology at the University of Central Florida, where she directs the Social Theory, Relationships, and Interpersonal Violence Exposure (STRIVE) Lab. Her research examines the intersection of gender-based violence, substance use, and health risk behaviors. Education includes: PhD in Social Psychology from Wayne State University BS in Psychology from Appalachian State University Her NIH-funded research investigates how violence victimization relates to health behaviors through motivational frameworks. Current projects examine technology-facilitated sexual violence on dating apps and alcohol's role in intimate partner cyber abuse. She employs diverse methods including surveys, experiments, and daily diaries. As member of the Violence Against Women Faculty Cluster, she develops prevention strategies addressing sexual violence and health disparities. Funded projects include NIJ grants examining transitional housing models for domestic violence survivors. Honors include Rising Star Award for undergraduate mentoring and multiple teaching awards. She serves on editorial boards for Psychology of Violence and leads NIH-funded projects on dating app-facilitated violence.
Steve Whittaker is Professor of Human-Computer Interaction at the University of California at Santa Cruz. He conducts interdisciplinary research at the intersection of social science and computer science, focusing on how technology affects human memory, communication, and personal information management. His current research explores human-centric AI systems, mental health technologies, and digital identity. His research interests center on designing interactive systems that support human needs in digital environments. He investigates how people manage digital information, remember personal experiences through lifelogging, and interact with conversational agents and social robots. His work emphasizes computational well-being, affective computing, and the social implications of technology use. He has made foundational contributions to the fields of personal information management (PIM), computer-mediated communication (CMC), and human-robot interaction. The recent publications reflect a strong trend toward mental health technology, human-AI interaction, and digital well-being. His work spans from theoretical models of emotion and memory to practical systems for mental health apps, chatbots, and immersive visualization. He frequently publishes in top-tier venues such as CHI, CSCW, and IUI, often in collaboration with researchers across disciplines. Lifetime Research Achievement Award from SIGCHI Fellow of the Association for Computational Machinery (ACM) Member of the CHI Academy Lasting Impact Award from ACM CSCW Best Paper Award at CSCW10 Best Paper Award at CHI07 Honourable Mention at ACM CHI 2020 Multiple best paper nominations at CHI, CSCW, and IUI MIT Siegel Prize Steve Whittaker has supervised numerous PhD and Master’s students, though specific names are not listed in the provided text. His research has been funded by major grants from NSF, NIH, and industry partners, enabling long-term studies on digital behavior and system development. He is Editor of the journal Human Computer Interaction and has authored over 200 peer-reviewed publications. His most recent book, The Science of Managing Our Digital Stuff (MIT Press), co-authored with Ofer Bergman, synthesizes decades of research on personal information management. He leads a vibrant research lab at UC Santa Cruz that focuses on human-centered computing, where students and collaborators work on projects involving AI, mental health, digital memory, and social interaction. The lab has produced influential work on lifelogging, email management, telepresence robots, and algorithmic transparency. The team employs mixed methods, combining qualitative studies with system design and evaluation.
J. Eric Bickel is a Professor at The University of Texas at Austin, serving as Director of the Operations Research & Industrial Engineering (ORIE) and Engineering Management programs. He holds a courtesy appointment in the Department of Petroleum and Geosystems Engineering and directs the Center for Engineering & Decision Analytics (CEDA). His academic background includes a PhD and MS in Engineering-Economic Systems from Stanford University and a BS in Mechanical Engineering from New Mexico State University. His research focuses on decision analysis under uncertainty, addressing topics like probabilistic modeling, climate engineering, risk management, and applications in sports and energy sectors. His work has been featured in major media including The New York Times and Wall Street Journal , and his climate engineering research was endorsed by Nobel Laureates as a top climate change response strategy. Professor Bickel has extensive industry experience, having previously served as Senior Engagement Manager and Co-Director of Client Education at Strategic Decisions Group (SDG), where he remains on the Board of Directors. His consulting spans oil/gas, energy trading, and financial services sectors. He has received recognition as a Fellow of the Society of Decision Professionals and contributed to the Copenhagen Consensus on Climate Project. His teaching extends to executive education through Texas Executive Education and McCombs School of Business. Research highlights include novel methods for probabilistic dependence modeling, value-of-information analysis in shale reservoirs, and critiques of risk assessment tools like heat maps. His climate engineering work emphasizes economically viable solar radiation management strategies.
