Ludovic Phalippou is a Professor of Financial Economics at Saïd Business School, University of Oxford. He is a leading expert in private equity and financial markets, frequently consulted by governmental bodies such as the UK House of Lords’ Financial Regulation Select Committee. His research focuses on private credit, financial leverage, and investor protection. University: University of Oxford School: Saïd Business School Department: Financial Economics His research explores the systemic risks of private debt markets, performance measurement in private equity, and the impact of financial leverage on corporate stability. He critiques traditional metrics like IRR and emphasizes transparency in fund management. Recent publications analyze trends in private equity, venture capital, and debt markets, highlighting concerns about valuation methods, regulatory gaps, and the growing influence of non-traditional lenders like pension funds. His work underscores the need for international cooperation in financial regulation.
John J. Ryan is a Professor of Medicine in the Division of Cardiovascular Medicine at the University of Utah School of Medicine , specializing in General Cardiology and Pulmonary Hypertension . He holds adjunct associate professorships in Family & Preventive Medicine, Orthopaedics, and Radiology & Imaging Sciences. Dr. Ryan’s research focuses on heart failure with preserved ejection fraction , pulmonary vascular disease , and right ventricular function . His work explores statin therapy , microvascular dysfunction , and novel treatments for pulmonary hypertension . His publications emphasize cardiovascular outcomes in pulmonary hypertension, exercise physiology in heart failure, and digital health tools. He is board-certified in Advanced Heart Failure & Transplant Cardiology , Cardiovascular Disease , and Echocardiography . Clinically, he practices at the University of Utah Hospital , with consistently high patient satisfaction scores ( 4.9/5 ). His academic training includes M.D. from University College Cork , followed by residency at Boston Medical Center and fellowships at the University of Chicago Medical Center .
Sean Lawson is a Professor in the Communication department at the University of Utah, where he has been employed since July 2023. Previously, he served as an Associate Professor at the same institution from July 2015 to June 2023. He was also an Adjunct Scholar at the Modern War Institute (United States Military Academy at West Point) from 2019 to 2020. PhD in Science & Technology Studies from Rensselaer Polytechnic Institute (2008) MA in Arab Studies from Georgetown University (2003) BA in History from California State University, Stanislaus (2000) Dr. Lawson's research centers on the intersections of science, technology, and security, with a focus on national security, military thought, and information/communication technologies (ICTs). His work explores how cyber-doom rhetoric, nonlinear science (chaos and complexity theories), and social media dynamics shape cybersecurity policies and conflict narratives. His publications include analyses of cyberwarfare metaphors, the influence industry, and drone journalism. He has co-authored works on UAVs, cybersecurity discourse, and the role of social media in social movements like Occupy Wall Street. Nonlinear Science and Warfare (2013) Cybersecurity Discourse in the United States (2019) Masspersonal Social Engineering (2024) Dr. Lawson has received awards such as the Simmons Fellow in History and Communication (2009), Faculty Fellow Award (2011), and Non-Resident Fellow status (2020). He teaches courses like "IT & Global Conflict" and "Great Science Books" and has been involved in projects examining drones, cybersecurity, and military imaginaries.
Emma Spiro is an Associate Professor at the University of Washington Information School, with adjunct appointments in the Department of Sociology and Human Centered Design & Engineering. She co-founded the Center for an Informed Public (CIP) and directs the Social Media Lab (SoMeLab) and Data Science and Analytics Lab (DataLab). Her research focuses on online communication, misinformation dynamics, and network structures in both digital and physical contexts. Dr. Spiro’s work explores social networks and computational social science, analyzing how misinformation spreads during crises and elections. Her research has been funded by the National Science Foundation and Army Research Office, and published in top journals like PNAS, Social Networks, and Information, Communication & Society. She holds a Ph.D. in Sociology from UC Irvine and dual B.A.s in Applied Mathematics and Science, Technology & Society from Pomona College. As a Data Science Fellow at UW’s eScience Institute, she bridges technical and social science methodologies to study information integrity. Her affiliations include the UW Center for Statistics & the Social Sciences (CSSS) and the Center for Studies in Demography & Ecology (CSDE). She actively collaborates across disciplines to address strategic misinformation through labs, institutes, and multi-institutional initiatives like the Disinformation Summer Institute.
Vincent Roca is a permanent researcher at Inria , a French national research institute for digital science and technology. Since 2019, he leads the Privatics research team focusing on privacy, previously part of the Planete team (2000-2012) for Internet protocols and applications. His work spans Privacy in smartphones, IoT, and web browsers Design of the ROBERT and CLEA protocols for the French TousAntiCovid app Standardization in IETF working groups, notably on FEC and network coding Co-author of Inria's cybersecurity white book (2019) Instructor of the popular Privacy in the digital world MOOC (14,006 participants) Research Interests include privacy risks in digital technologies, robust content distribution via FLUTE/ALC transport protocols and LDPC-Staircase FEC codes, and network coding for scalable services. His articles focus on privacy in LoRaWAN, contact tracing protocols, GDPR compliance, and FEC optimization. Scientific Awards include the Third Applied Research Price from FIEEC (2014) Knight Medal of the French Order of Merit (2020) Students supervised include PhD candidates in privacy-preserving IoT, secure authentication, and alumni like Samuel Pelissier (LoRaWAN privacy) and Michael Toth (GDPR compliance). Software Contributions include openfec.org (AL-FEC codes) and FLUTE/ALC implementations .
Mario Dipoppa is an Assistant Professor in the Department of Neurobiology at the University of California, Los Angeles. His research focuses on computational neuroscience, cortical adaptation, and neural circuit dynamics. Position: Assistant Professor, Neurobiology Email: mdipoppa@g.ucla.edu Research Interests: Mario's work explores how neural populations in the visual cortex adapt to sensory input, with a particular emphasis on the interplay between neural oscillations, synchrony, and cognitive functions like working memory. His recent studies investigate optimal coding strategies in visual adaptation, contextual modulation mechanisms, and the role of transcriptomic diversity in cortical interneuron function. Publications Trends: His research spans computational modeling of cortical networks, visual neuroscience, and neurogenetic analyses of brain circuits. Early work (2013-2016) focused on working memory mechanisms and neural oscillations, while recent studies (2022-2025) emphasize visual cortex adaptation, population coding, and cross-species circuit comparisons.
Attila Gursoy is a Professor at the Department of Computer Engineering, College of Engineering, Koç University. He serves as the Dean of the College of Engineering and leads research in computational biology, bioinformatics, and high-performance computing. Education : PhD in Computer Science from University of Illinois (1994), MSc from Bilkent University (1988), BSc from Middle East Technical University (1986) His research focuses on protein-protein interactions , computational structural biology , and systems pharmacology , with applications in drug repurposing and inflammatory disease mechanisms . He has pioneered structural analysis of Ras signaling and developed tools like COSBI for computational systems biology. Recent publications highlight his work on viral protein mimicry , neurodegenerative pathways , and microbiome dynamics . His team maintains datasets like PPInterface and DiPPI for structural drug discovery. 2005 : Werner-von-Siemens Excellence Award
Ramana V Davuluri serves as Professor in the Department of Biomedical Informatics at Stony Brook University's Renaissance School of Medicine. With over 20 years of experience in bioinformatics and computational genomics, he leads research at the intersection of machine learning and cancer genomics, focusing on translating high-dimensional -omic data into clinically actionable insights through statistically rigorous methodologies. Dr. Davuluri's research spans Machine Learning applications in Cancer Data Science , isoform-level gene regulation , and precision-medicine development. His lab pioneers bioinformatics solutions for genomic data interpretation, with emphasis on developing machine learning algorithms that convert NextGen sequencing outputs into experimentally testable discovery models. A core focus involves creating rapid biomarker identification systems from human tissue and blood samples through integrated computational-experimental approaches in systems biology. Analysis of his 2023-2025 publications reveals a dominant trend toward genomic foundation models (e.g., DNABERT variants), multi-omic cancer subtyping , and time-dependent therapeutic strategies for pediatric brain tumors and ovarian cancer. His work consistently bridges computational innovation with biological validation across diverse cancer types including glioma, lung adenocarcinoma, and high-grade serous carcinoma. As Principal Investigator for multiple multi-investigator and multi-site projects, Dr. Davuluri directs research integrating high-throughput experimental procedures with advanced data-mining techniques. His laboratory maintains strong collaborations across oncology, neuroscience, and immunology domains while developing genomics-based decision support systems for clinical translation. The Davuluri Lab employs a systems biology framework to develop novel informatics tools for precision oncology, with particular emphasis on translating genomic discoveries into clinical applications through biomarker discovery and therapeutic strategy optimization.
Arnoldo Frigessi is Professor of Statistics at the University of Oslo, where he leads the Oslo Center for Biostatistics and Epidemiology and serves as director of BigInsight—a Centre of Excellence for Research-Based Innovation. This consortium unites industry, business, public actors, and academia to develop model-based machine learning methodologies for big data, with strong emphasis on health applications. His research centers on statistical methodology driven by real-world scientific challenges, specializing in stochastic models for complex dependence structures and computationally intensive inference algorithms. Core application domains include: Genomics and personalized cancer therapy (particularly breast and lung cancer) Infectious disease modeling (including pandemic response) eHealth, sensor data analysis, and recommender systems Personalized marketing and viral diffusion dynamics Analysis of his 15 most recent publications (2024-2025) reveals dominant themes in cancer systems biology , where he integrates multi-omics, single-cell transcriptomics, and computational modeling to decode tumor evolution under therapy. Parallel work advances infectious disease epidemiology through time-varying reproduction number estimation and mobility-based transmission modeling, while methodological innovations span synthetic data generation (TVineSynth), causal inference via target trial emulation, and Bayesian ranking models for recommender systems. Scientific Awards: No specific awards mentioned in source materials Frigessi actively supervises graduate students, including a Department of Informatics project on "Utilizing covariate information in recommender systems." His leadership of BigInsight—funded as a Research-Based Innovation Centre by the Research Council of Norway—secures major grants supporting interdisciplinary collaborations with industrial partners (e.g., Telenor, DNB) and public health institutions. Current projects integrate real-world clinical data with mechanistic models for treatment optimization. He directs BigInsight's multidisciplinary team of statisticians, computer scientists, and domain experts, while leading the Oslo Center for Biostatistics and Epidemiology's efforts in developing statistical frameworks for complex health data. These initiatives drive Norway's national strategy for data-driven health innovation.
Hiroshi Toyoizumi is a Professor at Waseda University's Faculty of Commerce and Graduate School of Accountancy, with a Ph.D. in Mathematical Physics from Waseda University. His work bridges Applied Probability , Operations Research , and Computational Biology , focusing on stochastic modeling across biological and network systems. Research Interests Stochastic Models in Biology : Analyzing social queues in hover wasps and meiotic DSB regulation using quasi-birth-death processes and survival analysis. Network Security : Modeling computer virus spread on scale-free networks and proposing active defense strategies. Queueing Theory : Developing analytical frameworks for on-demand streaming, quantum merging, and blockchain-based systems. Article Trends Recent work (2020-2024) explores nonlocal diffusion , quantum queueing , and swarm behavior in financial markets . Mid-2010s studies focus on cooperative breeding and DNA recombination dynamics . Early papers (pre-2010) examine computer virus ecology , secure group communication , and deterministic queue analysis . Scientific Awards Biotechno 2013 Best Paper Award IEICE Switching Workshop SSE Research Award (1999) IEICE Young Research Engineer Award (1997) Teaching Activities Graduate-level courses in Operations Research and Financial Engineering . Undergraduate and graduate seminars in Applied Mathematics and Probabilistic Models .
WANG, Yushi is currently a Junior Researcher (Assistant Professor) at the Future Robotics Organization of Waseda University , with prior roles in the Faculty of Science and Engineering (2018–2021). His research focuses on robotics, tactile sensing, and actuator design. Education: Ph.D. in Science and Engineering from Waseda University (2015–2018). Research interests include Humanoid Robotics , Force/Torque Control , and Soft Robotics , particularly for applications in tactile sensing and safety mechanisms . Recent work explores Permanent Magnet Elastomer (PME)-based sensors and Series Clutch Actuators , enabling safer human-robot interactions and adaptive compliance. His publications span conferences like IROS , AIM , and SII , addressing challenges in 3-axis force measurement , collision safety , and material testing . He has taught courses such as 理工学基礎実験 and メカニカルエンジニアリングラボA (2018–2021). Professional memberships include IEEE , IEEE WIE , and the Japan Robotics Society . His work also involves patents for haptic interfaces and torque limiters , with grants like the 若手研究 (Young Researcher Grant) (2021–2023).
Peter N. Salib is an Assistant Professor at the University of Houston Law Center and Associate Faculty in Public Affairs. He serves as Law and Policy Advisor to the Center for AI Safety in San Francisco and co-Director of the Center for Law & AI Risk. University of Houston Law Center Public Affairs Faculty Center for AI Safety Center for Law & AI Risk His research combines constitutional law and economic analysis to address AI governance challenges. Current work focuses on legal frameworks for mitigating catastrophic AI risks through regulatory innovation. Publications appear in top law reviews including University of Chicago Law Review, Virginia Law Review, and Texas Law Review. Recent scholarship trends indicate expertise in: Algorithmic discrimination in health equity Constitutional implications of AI rights Jury nullification theories in abortion cases AI arms race international law Computational law applications As former Climenko Fellow at Harvard Law School and attorney at Sidley Austin LLP, he brings both academic and practical legal experience. Judicial clerkship with Hon. Frank H. Easterbrook informs his constitutional analysis approach.
Jian Peng is an Associate Professor and Willett Faculty Fellow at the University of Illinois at Urbana-Champaign with primary appointment in the Department of Computer Science and courtesy appointments in the College of Medicine. He holds affiliate positions at the Institute of Genomic Biology, Cancer Center at Illinois, and National Center for Supercomputing Applications. His research integrates computational biology and machine learning, focusing on functional genomics, cancer genomics, neurodegenerative diseases, deep learning architectures, and reinforcement learning applications in biological domains. His work bridges algorithmic development with real-world biomedical challenges. Analysis of recent publications (2020-2021) reveals strong emphasis on machine learning applications in drug design, protein engineering, and computational biology. Key technical themes include generative modeling for molecular structures, reinforcement learning advancements, causal inference frameworks, and novel computer vision approaches. The work demonstrates consistent interdisciplinary innovation across computational and biological domains. Major Scientific Awards: Donald Biggar Willett Faculty Fellow (2020) Overton Prize - ISCB (2020) Dean's Award for Excellence in Research (2020) C.W. Gear Junior Faculty Award (2019) NSF CAREER Award (2017-2022) Sloan Research Fellowship (2016) He leads significant research initiatives including co-directing the NSF AI Institute's Molecular Maker Lab and an ASAP collaborative grant for Parkinson's disease research. His students have secured faculty positions at leading institutions including Georgia Tech and University of Washington.
Erich Schweighofer serves as Associate Professor at the University of Vienna within the Institute for European, International and Comparative Law, specifically affiliated with the Department of International Law and International Relations. His research activities are centered at the Juridicum building (Schottenbastei 10-16, 1010 Vienna), where he maintains an active office presence with scheduled consultation hours. His scholarly focus spans Legal Informatics , Artificial Intelligence and Law , Data Protection , and Legal Knowledge Representation , with particular emphasis on explainable AI systems for legal contexts and formal methodologies for translating legal norms into computational frameworks. This interdisciplinary work bridges jurisprudence and computer science through projects examining biometric regulation, autonomous vehicle governance, and natural language processing applications in legal domains. Analysis of his 2021-2024 publications reveals consistent thematic progression toward operationalizing legal principles in AI systems, with increasing focus on transparency mechanisms, temporal logic for dynamic regulations, and cross-jurisdictional compliance challenges. His work predominantly appears in the International Legal Informatics Symposium (IRIS) proceedings and JURIX conferences, reflecting deep engagement with the legal informatics community. Professor Schweighofer leads a dedicated research team including project assistants Mag. Jessica Fleisch, Mag. Jonas Pfister, Felix Schmautzer, and Mag. Jakob Zanol, while actively participating in the University of Vienna's Working Group on Legal Informatics (Arbeitsgruppe Rechtsinformatik). His collaborative approach extends to organizing the biennial IRIS symposium, which has established itself as a cornerstone event for European legal informatics scholarship since 1998.
Professor Hongbin Cai serves as Dean and Chair Professor of Economics at the Faculty of Business and Economics, The University of Hong Kong. He also directs the Institute of China Economy and holds significant advisory roles including on the Hong Kong SAR Chief Executive's Policy Unit and the Northern Metropolitan Region Advisory Committee. Previously, he was Dean of the Guanghua School of Management at Peking University from December 2010 to January 2017. Professor Cai's educational background includes: Bachelor's degree in Mathematics from Wuhan University (1988) Master's degree in Economics from Peking University (1991) Doctorate in Economics from Stanford University (1997) Professor Cai's research focuses on game theory, industrial organization, corporate finance, and the Chinese economy. His work bridges theoretical economic frameworks with practical applications in China's economic development and Hong Kong's economic challenges. He has been particularly active in analyzing Hong Kong's economic structural transformation, the impact of geopolitical shifts on its intermediary economy, and strategies for building a knowledge-based, innovation-driven economy. His recent publications demonstrate a strong focus on Hong Kong's economic challenges in the post-pandemic era, with particular attention to economic structural transformation, talent development, and the evolving role of Hong Kong within China's "dual circulation" strategy. His work consistently emphasizes the need for Hong Kong to leverage its unique advantages while addressing long-standing structural weaknesses in its economy. Professor Cai has received numerous prestigious awards: New Century Excellent Talent by the Ministry of Education (2006) National Natural Science Foundation for Distinguished Young Scholars (2007) Changjiang Scholar Distinguished Professor by the Ministry of Education (2008) Elected Fellow of the Econometric Society (2011) As an academic leader, Professor Cai has supervised numerous doctoral students and has been instrumental in recruiting 45 international experts to the HKU School of Business and Economics since 2017. He has championed initiatives to strengthen HKU's research capabilities on Hong Kong's economy, including the development of an "Economic Policy Green Paper" specifically tailored for Hong Kong. His leadership has overseen significant growth in student enrollment and plans for a new campus on Pokfield Road. Professor Cai founded and directs the Institute of China Economy at HKU, which serves as a platform for research on China's economic development and its implications for Hong Kong and the global economy. The Institute has organized major forums, including the 2024 China and Global Economy Forum, bringing together leading economists and business leaders to analyze China's economic future.
