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Yuzhe Yang is an Assistant Professor of Computational Medicine and Computer Science at UCLA, with a visiting research scientist role at Google Health. He holds a PhD in Computer Science from MIT (2024), advised by Dina Katabi, and a B.S. with honors from Peking University. Research Focus: Machine learning for healthcare, medical AI fairness, and AI-driven biomedical discovery Key Contributions: Ten Notable Advances (Nature Medicine) and Ten Crucial Advances (The Lancet Neurology) His lab develops Trustworthy Learning Algorithms and Generalist Health Models that integrate Multimodal Data for personalized health coaching. Notable projects include AI-based Parkinson's Disease Biomarkers via nocturnal breathing and Foundation Models for Equitable Medicine . Recent publications at ICLR 2025 (wearable foundation models), Nature Medicine 2024 (medical AI fairness), and Science Advances 2025 (vision-language medical bias) highlight his interdisciplinary work. He serves on ML4H workshops and reviews for top conferences like NeurIPS and ICML. Awards include Forbes 30 Under 30 , Takeda Fellowship , and Baidu PhD Fellowship . Advising opportunities: Recruiting PhD students (CS/CompMed) and postdocs in AI for health. Lab: Health Intelligence Lab (HAIL)

• Machine Learning
• Artificial Intelligence
• Healthcare Technology
• +3 more

Dr. Vera Deneer is an Associate Professor of Clinical Pharmacology at the Utrecht Institute for Pharmaceutical Research (UIPS) within the Faculty of Science at Utrecht University, specializing in the Division of Pharmacoepidemiology and Clinical Pharmacology since 2019. She also serves as a hospital pharmacist and clinical pharmacologist at the University Medical Center Utrecht (UMC Utrecht) at the Department of Clinical Pharmacy since 2017. Dr. Deneer holds significant leadership positions including Vice-Chair of the Medicines Evaluation Board (MEB-CBG) since 2019 and Chair of the Dutch Pharmacogenetics Working Group (DPWG). Dr. Deneer received her PharmD from Utrecht University in 1991 and her PhD from Groningen University in 2003, with research focused on clinical pharmacology and pharmacokinetics of antiarrhythmic drugs in atrial fibrillation. She completed clinical training in hospital pharmacy in 1994 and clinical pharmacology training in 1998. Prior to her current positions, she served as Head of the Pharmacogenetics, Pharmaceutical and Toxicological Laboratory at St. Antonius Hospital, Nieuwegein/Utrecht from 1998 to 2017. Her research focuses on personalized medicine through the study of biomarkers including genetic variants, patient characteristics, and clinical parameters to optimize drug treatment efficacy and safety. Her work primarily targets cardiovascular disease, lung cancer, and immune-mediated inflammatory diseases. She also investigates clinical reasoning and decision-making by pharmacists to improve medication management in clinical practice. Dr. Deneer serves as principal investigator for multiple research projects funded by The Netherlands Organisation for Health Research and Development. Dr. Deneer's recent publications demonstrate her leadership in pharmacogenetics guidelines development, with numerous Dutch Pharmacogenetics Working Group (DPWG) guidelines published in 2023-2025 covering gene-drug interactions for various medication classes including antidepressants, antipsychotics, anti-epileptics, and cardiovascular medications. Her work spans both clinical implementation research and educational aspects of pharmacy practice. Among her significant appointments, Dr. Deneer serves as Vice-Chair of the Medicines Evaluation Board (MEB-CBG) and Chair of the Dutch Pharmacogenetics Working Group (DPWG). She previously chaired a medical research ethics committee from 2012-2017 and serves on multiple national and hospital committees related to pharmacotherapy and drug safety. Dr. Deneer has been actively involved in mentoring pharmacy students and professionals, with recent publications focusing on clinical decision-making education for pharmacists. Her work bridges the gap between pharmacogenetic research and clinical implementation, with particular emphasis on optimizing drug treatment strategies for individual patients while minimizing adverse drug reactions.

• Pharmacogenetics
• Clinical Pharmacology
• Personalized Medicine
• +4 more

Annechen Bahr Bugge is a sociologist and Researcher I at Consumption Research Norway (SIFO), Oslo Metropolitan University. Her work focuses on food culture, culinary heritage, and sustainable consumption patterns, with particular emphasis on Norwegian dietary traditions and their evolution from the 16th century to present day. PhD in Sociology (2005) from Norwegian University of Science and Technology (NTNU) Current leader of FoodStories project (2025-2028) examining Norwegian food heritage Previously led FoodLessons project (2021-2024) connecting culinary history with future food development Her research explores: dietary transitions, plant-based diets, food policy interventions, and the sociocultural dimensions of food consumption. She has published extensively on Norwegian food culture, including the book Fattigmenn, tilslørte bondepiker og rike riddere (2019) and upcoming Food Cultures of Norway: Cuisines, Customs, and Issues (2025, co-authored with Henry Notaker). Recent publications focus on: food heritage revitalization, sustainable diets, retail interventions for healthier choices, and digital marketing influences on youth consumption patterns. Her work combines historical analysis with contemporary food challenges to inform future sustainable food systems. For a complete overview of her research and publications, see her Cristin profile: Cristin Profile

• Sociology
• Consumer Behavior
• Food Culture
• +5 more

Yinzhi Cao is an Associate Professor at the Johns Hopkins University Department of Computer Science . He serves as Technical Director of the Johns Hopkins Information Security Institute and is affiliated with the Data Science and Artificial Intelligence Institute and the Institute for Assured Autonomy . Cao joined JHU in 2018 from Lehigh University, where he was an Assistant Professor. Doctor of Philosophy (PhD) in Computer Science, Northwestern University (2014) Bachelor of Engineering (BE) in Electronic Engineering, Tsinghua University (2008) Research Interests focus on security and privacy of web, mobile, and machine learning systems . Key projects include Vulnerability Analysis of Web Applications and Security, Privacy, and Fairness Analysis of ML Systems . His work addresses prototype pollution in JavaScript, node.js vulnerabilities, browser fingerprinting, federated learning privacy, and automated exploit generation. Scientific Recognition includes the NSF CAREER Award (2021) DARPA Young Faculty Award (2022) & Director's Fellowship (2024) Amazon Research Awards (2022, 2017) IEEE Security & Privacy Test of Time Award (2025) Distinguished Paper Awards at IEEE S&P 2025, CCS 2023, USENIX Security 2022 Advising & Grants highlight mentorship of 20+ PhD and Master’s students across institutions. Major grants include $1.2M collaborative CICI TCR grant (2024-2026) with Dr. John Aucott $750K DARPA YFA grant (2022-2025) $500K NSF SaTC grant (2022-2025) NSF EAGER grant (2016-2017) Labs & Teams : Affiliated with Johns Hopkins Information Security Institute , Data Science AI Institute , and Institute for Assured Autonomy . Collaborates with institutions like Columbia, UC Santa Barbara, and SRI International. His group investigates real-world vulnerabilities in over 2,500 websites and NPM packages, uncovering 80+ zero-day issues.

• Security and privacy of machine learning
• Web security and privacy
• Mobile security and privacy
• +1 more

Xiaofeng Liu is an Assistant Professor at Yale University School of Medicine in the Departments of Radiology & Biomedical Imaging and Biomedical Informatics & Data Science. He is also an Associate Member at the Broad Institute of MIT and Harvard. Previously, he held faculty positions at Harvard Medical School and research roles at Massachusetts General Hospital and Beth Israel Deaconess Medical Center. PhD in Mechatronics from University of Chinese Academy of Sciences Dual Bachelor's degrees in Automation (Wang-Daheng Elite Class) and Communication from University of Science and Technology of China His research integrates trustworthy AI, medical imaging, and data science to improve diagnosis, prognosis, and treatment monitoring for neurological disorders, cancer, and cardiovascular diseases. Key focus areas include domain adaptation techniques, diffusion models, and interpretable AI systems. Led special issues in IEEE Transactions on Pattern Analysis and Medical Image Analysis Developed novel frameworks like Ordinal UDA and Memory-Consistent Adaptation Scientific accolades include the Trailblazer R21 Award (NIBIB), OpenAI Research Award, and National Artificial Intelligence Research Resource Pilot Award. He serves as Associate Editor for IEEE Transactions on Neural Networks and Learning Systems and actively contributes to MICCAI and NIH review panels. His lab at Yale (XLiu Lab) investigates neural basis of intelligence to inspire AI development, with applications in brain tumor segmentation, cardiac imaging, and cross-modal medical diagnostics.

• Artificial Intelligence
• Deep Learning
• Medical Imaging
• +5 more

Professor Li Hui serves as the executive dean of the School of Network and Information Security at Xidian University, where he holds the position of second-level professor and doctoral supervisor. He is nationally recognized as a distinguished teacher and serves in multiple prestigious roles including member of the National Steering Committee for Postgraduate Education in Cryptography, inaugural president of ACM SIGSAC CHINA, and director of several major academic societies related to cryptography and information security. Professor Li's research spans cryptographic information security, privacy computing, information theory, and coding theory, with significant contributions to network and cyberspace security. His work demonstrates a strong focus on both theoretical foundations and practical applications, particularly in developing security protocols for emerging technologies like blockchain, federated learning systems, and IoT environments. His research output shows consistent innovation in balancing security requirements with computational efficiency across diverse application domains. With over 300 publications and more than 15,000 Google Scholar citations (H-index 60), Professor Li's scholarly impact is substantial. His recent publications demonstrate increasing emphasis on privacy-preserving machine learning, secure multi-party computation, and cryptographic protocols for distributed systems, reflecting the evolving security challenges in the AI era. Three second-class national teaching achievement awards Special prize and first-class national teaching achievement awards Four first-class provincial and ministerial science and technology progress awards Privacy Computing Theory award (Qian Weichang Chinese Information Processing Science and Technology Award) Multiple patents with over 80 granted inventions Professor Li leads the Cyber Changan Team and serves as head of the Shaanxi Provincial Innovation Team for Mobile Internet Security. He has successfully supervised numerous doctoral and master's students who have gone on to win prestigious competitions like the National College Student Information Security Competition. His research is supported by major national grants including a National Key R&D Program project and key projects from the National Natural Science Foundation of China.

• Cryptographic Information Security
• Privacy Computing
• Information Theory
• +5 more

Karin Kreutzer is Professor of Social Business at EBS Business School, EBS University of Business and Law, holding the Chair of Social Business while serving as Head of the Impact Institute and Vice Dean of Research. Her academic leadership bridges theoretical rigor with practical social impact through extensive engagement with social enterprises and nonprofit organizations. Her educational foundation includes a doctorate from the University of St. Gallen complemented by studies at Bocconi University, Universities of Passau and Parma, and a visiting scholar position at ESADE Business School in Barcelona. This diverse academic background informs her interdisciplinary approach to social business research. Professor Kreutzer's research program centers on social entrepreneurship, corporate social responsibility, strategic NGO-corporate partnerships, and nonprofit strategic management, employing qualitative methodologies to dissect organizational identity dynamics and hybrid institutional logics. Her work reveals how social enterprises navigate inherent tensions between social missions and business sustainability, particularly during scaling phases and organizational transitions. Analysis of her 2021-2024 publications shows evolving focus on age-diverse volunteer teamwork, discursive construction of social entrepreneurship in pitch contexts, and career transitions of corporate managers entering nonprofit sectors. These studies consistently appear in premier outlets like Academy of Management Journal , Journal of Management Studies , and Journal of Business Ethics , demonstrating methodological sophistication and theoretical contribution. She actively translates research into practice through board memberships in social enterprises and advisory roles for nonprofits and public sector entities. Her teaching spans bachelor's, master's, MBA, and PhD programs covering business administration, CSR, social entrepreneurship, and qualitative research methods. As Head of the Impact Institute, she directs a research hub fostering social innovation through academic-practitioner collaboration, with current projects examining organizational responses to human rights challenges during conflicts and sustainability managers' moral engagement.

• Social Entrepreneurship
• Corporate Social Responsibility
• Strategic Partnerships between Companies and NGOs
• +4 more

Xiaodong Yan is an Assistant Professor in the Department of Materials Science and Engineering and an affiliated faculty member in the Department of Electrical and Computer Engineering at the University of Arizona . His research bridges materials science, nanoelectronics, and quantum computing, with a focus on developing novel quantum materials and devices for next-generation computing systems. Education : BS in Physics (Peking University, China), MS in Electrical Engineering (University of Notre Dame), PhD in Electrical and Computer Engineering (University of Southern California). Postdoctoral Training : Materials Science and Engineering, Northwestern University (2021-2023). Dr. Yan’s research explores the synthesis and physics of emerging quantum materials, particularly 2D materials and van der Waals heterostructures , to create advanced devices for neuromorphic computing , quantum sensing , and low-power electronics . His work spans nanofabrication, device characterization, and algorithm integration. His recent publications in Nature and Nature Electronics highlight breakthroughs in Moiré synaptic transistors with room-temperature neuromorphic functionality and reconfigurable heterojunction transistors for machine learning hardware. These studies emphasize 2D material integration , reconfigurable electronics , and bio-mimicking systems . Scientific Awards : MHI Ph.D. Scholar, Ming Hsieh Department of ECE at USC. Dr. Yan leads the Yan Research Group , which focuses on material and device solutions for neuromorphic computing and quantum sensing . The group actively recruits graduate and undergraduate researchers.

• Semiconductor Devices and Physics
• Nanofabrication
• 2D Materials
• +4 more

Omobolanle Ogunseiju is an Assistant Professor in the School of Building Construction at Georgia Institute of Technology . She holds a Ph.D. in Environmental Design and Planning from the Department of Building Construction at Virginia Tech. Education: Ph.D. in Environmental Design and Planning, Virginia Tech Current Role: Assistant Professor, Georgia Tech School of Building Construction Her research focuses on integrating wearable robotics and Artificial Intelligence (via digital twin , cyber-physical systems , and data sensing ) to improve construction workforce safety, health, and well-being . She explores ethical implications of automation in construction, particularly in human-technological dynamics. Key research trends include: Advancing smart communities through robotics and AI Exoskeleton evaluation for ergonomic risk reduction Mixed reality environments for construction education Data analytics for cognitive and physical risk assessment Professional identity development in construction engineering students Industry-academia alignment for sensing technology integration Scientific awards: Outstanding Doctoral Candidate, Myers-Lawson School of Construction Outstanding Doctoral Student, College of Architecture and Urban Studies at Virginia Tech Teaching philosophy emphasizes experiential learning , engagement techniques , and hierarchical assessments . She developed the Construction Cost Management course at Georgia Tech and will lead Construction Technology courses. Previously, she taught Smart Construction , Building Systems Technology , and Wireless Sensing in Construction Management at Virginia Tech.

• Workforce Development
• Construction Safety
• Artificial Intelligence
• +7 more

Prof. Dr. Harald Reiterer is a leading researcher in Human-Computer Interaction at the University of Konstanz, where he has served as Professor since 2009. His academic journey includes a Ph.D. (1991) and habilitation (1995) from the University of Vienna, followed by roles including Senior Researcher at Fraunhofer FIT and Associate Professor at Konstanz. He currently holds multiple leadership roles: Dean of the Faculty of Sciences , Senator of Section 1 , and Consulting Dean . Ph.D. in Computer Science (University of Vienna, 1991) Venia Legendi (Habilitation) in HCI (University of Vienna, 1995) His research focuses on: Interaction Design for mixed reality environments Information Visualization in immersive contexts Hybrid User Interfaces combining physical and virtual elements 3D Object Manipulation in handheld AR Behavioral Analytics through mHealth interventions Recent work explores: Avatar representation in Augmented Reality (2024) Node selection efficiency in Virtual Reality (2024) Peripheral vision toolkits for Head-Mounted Displays (2023) Hybrid interface optimization for Mixed Reality (2023) Smartphone AR extensions for Spatial Memory (2023) Key scientific contributions: Landeslehrpreis 2021 for interdisciplinary exhibition design Development of Colibri cross-reality toolkit (2023) Foundational work on Re-locations for remote collaboration (2022) He leads numerous projects including: SMARTACT (Smart Mobility, 2015-2023) SFB TRR 161 (2009-2027) on XR interface measurement Blended Library (2011-2015) for future library design

• Human-Computer Interaction
• Interaction Design
• Usability Engineering
• +13 more

Johan Meyers is a full Professor at KU Leuven's Faculty of Engineering Science, Department of Mechanical Engineering, where he heads the Applied Mechanics and Energy conversion (TME) research unit. He serves as a contact person for TME and is an active member of the KIES – KU Leuven Institute for Energy and Society. His administrative roles include membership on the Council of the Faculty of Engineering Science, the Mechanical Engineering Department Council and Board, and chairing the HPC Steering Committee. Professor Meyers' research focuses on turbulent flow simulation and optimization, with particular emphasis on wind energy applications, atmospheric pollutant dispersion, and computational methods. His work spans Direct Numerical Simulation (DNS), Large-Eddy Simulation (LES), and model reduction techniques for applications in energy engineering. Current research categories include flow control & optimization, wind farm engineering, and atmospheric pollutant dispersion modeling, with specific applications in radioactive release scenarios and wind turbine system optimization. His recent publications demonstrate a strong trend toward wind energy applications, particularly in optimizing wind farm layouts and operations through advanced computational methods. The research shows significant emphasis on Large-Eddy Simulation techniques to study atmospheric boundary layer interactions with wind farms, with growing interest in hybrid wind-solar energy systems and the effects of surface temperature heterogeneity on flow patterns. His work increasingly integrates machine learning approaches to enhance computational efficiency in wind farm modeling. Professor Meyers actively supervises numerous PhD students including Bon, T., Janssens, N., Jamaer, S., and ALREWENY, A., among others. His research is supported by multiple ongoing projects through 2028, including 'Wind-farm co-design in the North-Sea basin given climate and market uncertainty' and 'Reconstruction of turbulence from partial observations,' primarily funded by research councils and industry partnerships. He leads the Turbulent Flow Simulation and Optimization (TFSO) research group, which develops efficient supercomputing simulation tools for turbulent flow applications in energy engineering. The group specializes in wind farm optimization, atmospheric pollutant dispersion modeling, and airborne wind energy systems, with a particular focus on LES studies of wind farm interactions with the atmospheric boundary layer.

• Wind Energy
• Turbulent Flow Simulation
• Flow Control & Optimization
• +5 more

Emin Gün Sirer is an Associate Professor at the Department of Computer Science , College of Engineering , Cornell University . He co-directs the Initiative for Cryptocurrencies and Smart Contracts and leads the Meridian and HyperDex projects. Research in operating systems, networking, and distributed systems Focus on secure operating systems, high-performance cloud infrastructure, and peer-to-peer networks Developed systems like Nexus (secure OS), OpenReplica (Paxos implementation), and Trickles (stateless network protocol) Prominent Projects : Meridian - Lightweight network location service without virtual coordinates Cubit - Decentralized peer-to-peer search Kimera - Network-centric Java verification SPIN - Extensible microkernel for application-specific services Scientific Contributions : Leading work in blockchain security and peer-to-peer systems Patents in executable content rewriting and distributed virtual machines Advising & Collaborations : Advises projects in network positioning and content distribution Collaborates with institutions like Usenix , SIGCOMM , and NSDI Personal Background : Ph.D. and M.S. in Computer Science from the University of Washington B.S.E. in Computer Science from Princeton University High school at Robert College

• Operating Systems
• Networking
• Distributed Systems
• +3 more

Dr. David R Boulware is a Professor in the Department of Infectious Disease and International Medicine at the University of Minnesota Medical School. He is an infectious disease physician-scientist with formal training in public health, clinical trials, and tropical medicine. As a translational researcher, he combines clinical research training with basic science investigations into disease pathogenesis. His primary research interests include: Meningitis in resource-limited areas Diagnosis, prevention, and treatment of meningitis HIV-associated cryptococcal meningitis TB meningitis diagnostics Cryptococcal antigen screening Cost-effectiveness analyses in global health Dr. Boulware's research focuses on improving clinical outcomes of HIV-infected persons with meningitis, particularly cryptococcal meningitis which is the second most common AIDS-defining opportunistic infection in Sub-Saharan Africa and the most common cause of adult meningitis. His work has significant implications for global health, contributing to UN Sustainable Development Goals related to health and well-being. His recent publications (2025) demonstrate continued focus on cryptococcal meningitis treatment strategies, TB meningitis chemotherapy, and AIDS-related fungal infections. These works reflect his ongoing commitment to advancing treatment protocols for meningitis in both resource-limited and developed settings. Dr. Boulware has received substantial research funding, with 41 projects and grants totaling significant NIH support. His current active projects include: Midcareer Mentoring for Clinical Research in HIV/AIDS-related cryptococcal and TB meningitis (2024-2029) Improving outcomes in HIV-associated opportunistic infections using CNS pharmacokinetics and pharmacodynamics (2024-2029) Minnesota-Makerere-Mbarara Neuro-Infectious Disease Research Training Consortium (2024-2029) He maintains active research collaborations in Uganda, South Africa, Tanzania, and Ethiopia, leading a multidisciplinary international research team. Dr. Boulware is currently accepting PhD students for projects related to meningitis epidemiology, prevention, diagnostics, treatment, and clinical trials.

• Infectious Diseases
• Meningitis Epidemiology
• HIV-Associated Opportunistic Infections
• +5 more

Douglas Slobod, MD, FRCPC serves as an Investigator at the Research Institute of the McGill University Health Centre (RI-MUHC) at the Glen site, affiliated with the Translational Research in Respiratory Diseases Program within the Centre for Outcomes Research and Evaluation (CORE). He maintains dual roles as both a research scientist and clinical intensivist in the Critical Care Medicine Program at the McGill University Health Centre. Dr. Slobod's research program centers on cardiopulmonary interactions in critically ill patients, with particular emphasis on how mechanical ventilation impacts right ventricular function. His work spans physiological investigations of lung injury mechanisms and clinical development of personalized respiratory support strategies for patients with acute respiratory failure. This research has significant implications for optimizing mechanical ventilation in acute respiratory distress syndrome (ARDS) while minimizing cardiovascular compromise. Analysis of his publication record reveals a consistent trajectory of high-impact research in critical care physiology. Recent work demonstrates growing sophistication in monitoring techniques (including electrical impedance tomography and esophageal pressure monitoring) and a shift toward personalized ventilation approaches. His publications frequently address the complex interplay between respiratory mechanics and cardiovascular function, with particular attention to right ventricular performance during different ventilation strategies. Dr. Slobod maintains an active collaborative network with researchers across North America and Europe, contributing to both clinical trials and physiological investigations that address fundamental questions in mechanical ventilation. His work appears in premier journals including the American Journal of Respiratory and Critical Care Medicine, Critical Care, and Intensive Care Medicine. As a clinician-scientist, Dr. Slobod exemplifies the translational research model, directly connecting physiological insights from the laboratory to clinical practice at the bedside. His ongoing research continues to refine our understanding of how to optimize respiratory support while preserving cardiovascular function in critically ill patients.

• Cardiopulmonary Interactions
• Mechanical Ventilation
• Acute Respiratory Distress Syndrome
• +2 more

Waqqas Afif, MD, M.Sc., FRCPC, is an Investigator at the RI-MUHC (Montreal General Hospital site) within the Infectious Diseases and Immunity in Global Health Program . He holds the position of Associate Professor in the Department of Medicine at McGill University , and is affiliated with the Division of Gastroenterology at the MUHC . His research focuses on the safety and efficacy of biologic medications in treating Inflammatory Bowel Disease (IBD) , with a specific emphasis on Therapeutic Drug Monitoring (TDM) to optimize patient outcomes. Key areas include Biologic therapy optimization Endoscopic and histologic remission Drug concentration analysis Mucosal healing Predictive biomarkers Real-world treatment patterns Scientific Contributions : His recent work explores histologic activity in UC relapse proactive TDM strategies ustekinumab dose escalation in Crohn's guselkumab efficacy in UC metabolic comorbidities in IBD personalized infliximab dosing and other topics published in journals like Inflamm Bowel Dis , Gastroenterology , and Am J Gastroenterol . For contact, email waqqas.afif@mcgill.ca .

• Inflammatory Bowel Disease
• Crohn's Disease
• Ulcerative Colitis
• +5 more