جست‌وجوی استاد و پژوهشگر

Tricia S. Jonesمشاهده پروفایل

استاد

• Conflict Resolution Education
• Alternative Dispute Resolution
• Intercultural Conflict
• +۵ مورد دیگر

Tricia S. Jones is a Professor in the Department of Communication and Social Influence and Director of the Center for Conflict Management and Media Impact at Temple University's Lew Klein College of Media and Communication. With 35 years of expertise, she is a former President of the International Association of Conflict Management and has led global initiatives including UN peace education conferences. Research Focus: Her work centers on conflict resolution education, alternative dispute resolution, and intercultural conflict, with pioneering programs like the Conflict Resolution Education in Teacher Education (CRETE) project and Youth Dialogue Institute. These initiatives train educators in trauma-informed conflict resolution and develop student-led media-infused dialogue on racial injustice and mental health. Publication Trends: Recent scholarship (2014-2022) emphasizes practical applications in high-risk educational settings, ethical frameworks for conflict resolution education, and restorative approaches to school violence. Her work bridges theoretical communication studies with field-tested interventions for at-risk youth. Grant Leadership: Secured over $6 million in external funding including: Bureau of Justice Assistance/DOJ STOP School Violence award ($1.68M) for Resolutionary Partners addressing violence in Philadelphia schools serving juvenile justice-involved youth ACR JAMS Foundation grants ($60K) developing Youth Conflict Specialists for homeless populations School District of Philadelphia projects ($600K CRETE implementation, $73K Youth Dialogue Institute 2.0) Global Systems Design: Directs national conflict resolution infrastructure including Maryland's statewide conflict coaching system and New York State's youth conflict coaching programs across 17 school districts. Her UN-cochaired 2005 conference engaged 1,000+ representatives from 60+ countries, and she led post-apartheid peacebuilding in Johannesburg (1995-1997).

Lianne Lefsrudمشاهده پروفایل

دانشیار

• Risk Management
• Sustainability
• Organizational Theory
• +۵ مورد دیگر

Lianne Lefsrud serves as Associate Professor and Risk, Innovation, and Sustainability Chair (RISC) in the Department of Chemical and Materials Engineering at the University of Alberta's Faculty of Engineering. Her interdisciplinary research bridges engineering, social sciences, and policy to transform risk management practices across energy, mining, construction, and railroading industries, directly influencing regulations, building codes, and industry operations for sustainable development. Her academic credentials include: BSc in Civil Engineering (Cooperative Program), University of Alberta (1994) MSc in Interdisciplinary Civil & Environmental Engineering and Sociology, University of Alberta (1996) PhD in Strategic Management and Organization, Alberta School of Business (2014) Dr. Lefsrud's research centers on risk management frameworks for sustainability challenges. She examines hazard identification, social license to operate, and technology adoption drivers in high-hazard industries, with emphasis on prospective risk assessment (e.g., hydrogen infrastructure design) and retrospective analysis (e.g., microplastic pollution impacts). Her work integrates circular economy principles into energy systems while addressing unintended consequences across UN Sustainable Development Goals. Recent publications (2024-2025) demonstrate heavy focus on machine learning applications for rail and construction safety, hydrogen infrastructure risk analysis, and science denial mitigation. Key patterns show cross-industry adaptation of AI for incident prediction, regulatory gap analysis for emerging energy systems, and socio-technical approaches to reconcile sustainability goals with operational realities. Scientific recognition includes: Erb Post-Doctoral Fellowship (University of Michigan) Dow Sustainability Research Fellowship (Ross School of Business) Dr. Lefsrud mentors graduate students through industry-integrated projects like her Sustainable Design course where teams generated patents and city solutions. Her research secures Alberta Innovates funding with 1:4 industrial-to-federal matching, collaborating with Suncor, Transport Canada, and Canadian Standards Association. Grants target practical implementations including railcar inspection systems and hydrogen safety protocols. She co-founded Insight Risk Systems and leads the Lefsrud Lab, prioritizing inclusive teams with under-represented groups (women, Indigenous, LGBTQ2S+, neurodiverse) to tackle 'wicked problems' in sustainability. The lab leverages interdisciplinary partnerships across engineering, computer science, psychology, and environmental sociology for real-world risk management solutions.

Joris M. Mooijمشاهده پروفایل

استاد

• Causality
• Causal Modeling
• Causal Discovery
• +۵ مورد دیگر

Joris M. Mooij is a Professor of Mathematical Statistics at the Korteweg-De Vries Institute of the University of Amsterdam, Netherlands. His research focuses on causality, spanning causal modeling, discovery, and inference with applications in biology, medicine, fairness, and business analytics. He combines mathematical modeling with statistical and algorithmic approaches in his work. Dr. Mooij received his PhD with honors from Radboud University Nijmegen in 2007, focusing on approximate inference in graphical models. After postdoctoral work at the Max Planck Institute for Biological Cybernetics in Tübingen, Germany, he obtained an NWO VENI grant in 2011 for further postdoctoral research at Radboud University. He became Assistant Professor at the University of Amsterdam's Informatics Institute in 2013, was promoted to Associate Professor in 2017, and became a full Professor of Mathematical Statistics in 2020. Dr. Mooij's research centers on causal inference, with particular expertise in structural causal models, cyclic causal systems, and causal discovery algorithms. His work addresses fundamental questions about when causal relationships can be identified from observational data and how to develop robust causal discovery methods that work in complex real-world settings with latent variables, cycles, and selection bias. He has made significant contributions to understanding the limitations of existing causal discovery approaches and developing new methods that overcome these limitations. His research group organizes the Amsterdam Causality Meeting series and develops theoretical frameworks for causal modeling that encompass both acyclic and cyclic systems. Dr. Mooij has collaborated extensively on applications of causal methods in biological systems, including protein signaling networks and gene expression data. The group's recent work explores performative predictions, causal domain adaptation, and robust causal discovery methods that account for selection bias and missing data. Dr. Mooij has received numerous awards for his research, including: Best paper award at UAI for "Establishing Markov equivalence in cyclic directed graphs" IEEE Geoscience and Remote Sensing Society 2011 Letters Prize Paper Award ICML Test of Time Honorable Mention Best student paper award at UAI 2010 He has secured competitive research funding through an NWO VENI grant, NWO VIDI grant, and an ERC Starting Grant, which supported the establishment of his research group consisting of 3 PhD students and 3 postdocs focused entirely on causality. Dr. Mooij has supervised several PhD students, including Tineke Blom, whose work on "Causality and Independence in Perfectly Adapted Dynamical Systems" significantly influenced his thinking about causality in complex systems. He has co-taught the MasterMath course on Causality and published lecture notes titled "A Mathematical Introduction to Causality." His research continues to push the boundaries of causal inference methodology and its applications across diverse scientific domains.

Qi Yuمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Data Science
• +۶ مورد دیگر

Qi Yu is a Professor in the School of Information at the Golisano College of Computing and Information Sciences at Rochester Institute of Technology (RIT). He serves as the Graduate Program Director and directs the Machine Learning and Data Intensive Computing Lab. His research focuses on machine learning, deep learning, and data-driven knowledge discovery, particularly in knowledge-rich domains like medicine and bioinformatics. He holds a B.E. from Zhejiang University, an M.E. from the National University of Singapore, and a Ph.D. from Virginia Tech. His work emphasizes interpretable models, multimodal data fusion, and human-in-the-loop learning. He has secured significant grants, including a $500K NSF award and a $1.6M ONR grant, supporting projects on Bayesian learning frameworks and decision-making under uncertainty. His lab actively explores active learning, few-shot learning, and uncertainty quantification. He advises a vibrant group of Ph.D. and MS students and teaches courses such as Data-Driven Knowledge Discovery and Thesis/Project Capstones. Education: B.E., Electrical Engineering, Zhejiang University (2001) M.E., Computer Engineering, National University of Singapore (2003) Ph.D., Computer Science, Virginia Tech (2008) Research Interests: Machine Learning, Deep Learning, Vision-Language Models, Uncertainty Quantification, Active Learning, Multimodal Data Fusion, Bayesian Methods, and Applications in Healthcare and Cybersecurity. Recent Work Trends: His articles emphasize label-efficient learning, interactive systems, and applying ML to complex domains like medical imaging and anomaly detection. Notable projects include Bayesian learning for dynamic decision-making and evidential optimization for robust models. Awards/Grants: NSF IIS Award ($500K, 2018–2023); DoD/ONR Award ($1.6M, 2018–2023); multiple conference recognitions (NeurIPS, ICML, CVPR). Advising spans over 20 students, many securing roles at Amazon, Samsung, and academia. Labs/Teams: Leads the Mining Lab, collaborating on interdisciplinary projects with domain experts in medicine, cybersecurity, and material science.

Naren Ramakrishnanمشاهده پروفایل

استاد

• Data Science
• Machine Learning
• Urban Analytics
• +۲ مورد دیگر

Naren Ramakrishnan is the Thomas L. Phillips Professor of Engineering in the Department of Computer Science at Virginia Tech, where he directs the Sanghani Center for AI and Data Analytics. He also serves as AI and Machine Learning Lead for the Virginia Tech Innovation Campus. His research spans data science, machine learning, urban analytics, forecasting, and computational epidemiology. Recent publications (2024-2025) focus on language model optimization, AI applications in government and environmental conservation, and spatiotemporal data analysis. Work demonstrates strong emphasis on real-world AI deployments in regulatory compliance, supply chain verification, and network optimization. Methodological innovations include prompt engineering techniques, world models for reinforcement learning, and specialized embedding methods. Dr. Ramakrishnan has received prestigious fellowships from ACM, AAAS, and IEEE. His research has been supported by numerous agencies including DARPA, NSF, NIH, and industry partners like Amazon and Boeing, with 36 PhD students mentored to completion.

• Fish Physiology
• Ecotoxicology
• Nanotoxicology
• +۴ مورد دیگر

Matteo Minghetti is an Associate Professor in the Department of Integrative Biology at Oklahoma State University's College of Arts and Sciences. His research focuses on fish physiology and ecotoxicology, particularly investigating the toxicity and bioavailability of metals and emerging contaminants such as nanoparticles and microplastics in fish. He leads a research group that collaborates with environmental engineers and geologists to uncover toxicity mechanisms and develop alternative testing methods to reduce animal use in toxicity testing. Dr. Minghetti obtained his PhD in Ecotoxicology from the University of Stirling in the United Kingdom in 2009 and completed his Laurea in Biotechnology from the University of Bologna, Italy in 2003. His postdoctoral training included research positions at the Swiss Federal Institute of Aquatic Science and Technology (Eawag), King's College London, and the University of Stirling, where he studied transcriptional regulation of lipid metabolism, primary gill cultures for environmental biomonitoring, and mechanisms of toxicity of metal nanoparticles. His research program centers on developing and utilizing in vitro fish cell models (particularly RTgutGC and RTgill-W1 cell lines) to study metal toxicity, nanoparticle effects, microplastic interactions, and contaminant bioavailability. He has secured multiple significant grants including NIH, NSF, Alltech, and Alternatives Research & Development Foundation funding to support this work. His publications demonstrate a consistent focus on understanding how environmental conditions, such as chloride concentration, luminal composition, and plastic aging, influence metal speciation, bioavailability, and toxicity in fish systems. Dr. Minghetti actively mentors students through undergraduate research, Niblack Research Scholars program, and graduate thesis/dissertation supervision. He teaches courses including Physiology, Environmental Physiology, and Chronicles of Extreme Physiology, emphasizing both human and comparative animal systems.

• Global Health
• Public Health
• Nutrition
• +۶ مورد دیگر

Dr. Tanvir Huda is a Senior Lecturer in Public Health at the University of Sydney's Sydney School of Public Health, within the Faculty of Medicine and Health. He holds an NHMRC Senior Research Fellow position and has extensive experience in global health research, particularly in low-income settings. His work focuses on maternal and child health, nutrition, health equity, and universal health coverage. Dr. Huda has secured significant funding from agencies like NHMRC, Gates Foundation, and WHO, leading major studies such as the Shonjibon trial evaluating cash transfers and nutrition interventions in Bangladesh. Education: PhD in Public Health (University of Sydney, supported by Endeavour Postgraduate Award) MSPH from University of Alabama at Birmingham via AIDS International Training Research Fellowship (Fogarty NIH) Research Interests: Dr. Huda tests innovative solutions for health inequities, including nutrition-sensitive interventions, social safety nets, and mobile health technologies. Current projects include evaluating childhood stunting reduction in Bangladesh and exploring Lactoferrin applications for anemia. Grants & Awards: NHMRC grants totaling over $6 million Gates Foundation and MRC funding ($348k+) Teaching: Teaches in the Master of International Public Health program, emphasizing participatory learning in cluster randomized trials and health systems. Advising: Supervises research on maternal-child nutrition inequalities (e.g., Miranda HENDRY's project). Collaborates on grants like the SSEAC Ignition Grant for climate-sensitive undernutrition analysis.

• Climate and Energy Finance
• Corporate Risk Management
• International Economics/Finance
• +۳ مورد دیگر

Dr. Bernard Njindan Iyke is a Lecturer in Finance at La Trobe University, specializing in climate and energy finance, corporate risk management, and international economics/finance. He holds an ORCID identifier (0000-0002-9217-1856) and has extensive experience as a consultant for central banks and international organizations. His recent research includes leading the Australian Government-funded 'Quantum Enhanced Optimisation for Energy Efficient Data Centres' project. He actively supervises postgraduate research students focusing on Sustainable Development Goals 13 (Climate Action) and 7 (Affordable and Clean Energy). Dr. Iyke's research interests span climate finance, energy security, geopolitical risk analysis, and macroeconomic policy interactions. His work frequently explores emerging markets, particularly in Asia and Africa, with notable contributions on financial stability, currency dynamics, and pandemic economic impacts. He has presented at institutions like the University of Oxford and the Asian Development Bank Institute. His recent publications analyze topics such as financial cycle synchronization in emerging economies, energy investment under climate risks, and the interplay between monetary policy and asset prices in ASEAN countries. While no explicit awards are listed, his high citation counts (e.g., over 90 citations for his 2024 energy security paper) reflect significant academic impact. He teaches courses on commercial lending and bank strategy, integrating real-world financial technology and regulatory challenges. Dr. Iyke has secured government grants totaling millions AUD, notably the 2024 Quantum Optimisation project. He advises on policy matters related to energy transition and financial resilience, maintaining active collaboration with central banks and multilateral institutions. His research agenda emphasizes bridging theoretical economics with practical policy solutions for sustainable development.

Sharad Mehrotraمشاهده پروفایل

استاد

• Data Management
• Distributed Systems
• Database as a Service
• +۷ مورد دیگر

Sharad Mehrotra is a Distinguished Professor at the University of California, Irvine (UCI), leading the Center for Emergency Response Technologies (CERT) and directing the NSF-funded RESCUE project. He previously served at the University of Illinois, Urbana-Champaign, and holds a Ph.D. from the University of Texas at Austin (1993). His research focuses on data management, IoT systems, privacy-preserving technologies, and smart spaces, with contributions to frameworks like TIPPERS and MARS. Education: Ph.D., Computer Science, University of Texas at Austin, 1993 Research Interests: His work bridges database systems, security, and IoT, emphasizing privacy in smart environments. Notable projects include sentient space technologies for disaster response, cryptographic methods for encrypted data queries, and semantic IoT integration. Recent efforts address privacy in multi-owner data systems and resilient community water infrastructure. Awards & Recognition: ACM Fellow (2024) SIGMOD Best Paper (2001), DASFAA Best Paper (2004) NAVWAR Innovation Award (2021) Outstanding Graduate Mentor (2005) Grants & Leadership: As RESCUE PI, he managed $12.5M NSF funding, developing crisis-response software deployed by emergency agencies. Collaborations include the Cal-IT2 institute (UCSD/UCI) and the US Navy’s TIPPERS platform. He co-leads initiatives like the NSF Civic Innovation Challenge for disaster resilience in aging communities. Labs & Teams: Directs UCI’s Information Systems Group and CERT, fostering interdisciplinary research with 60+ members. His teams produce open-source tools (e.g., SEMIoTIC, PrivacySphere) and engage in global partnerships via Fulbright Visiting Scholar programs.

Michael Lewisمشاهده پروفایل

استاد

• Operations Management
• Supply Chain Management
• Project Management
• +۵ مورد دیگر

Professor Michael Lewis holds the rank of Professor at the University of Bath’s School of Management, Department of Information, Decisions & Operations. His academic career began at the University of Cambridge (PhD, 1995), followed by roles at Warwick Business School (1995–2004) and visiting positions at Harvard Business School and Georgetown University. His research focuses on operations strategy, complex business relationships (including PFI/PPP contracts), and efficiency in public/private service sectors. He co-authored the influential textbook Operations Strategy and leads initiatives like the Cabinet Office/IPA Project Excellence Initiative and Cornell’s Healthy Futures program. His current projects include UKRI’s Secure & Resilient World Hub and green transition research. He advises government on industrial measurement and contributes to policy frameworks through roles like the Chartered Management Institute Advisory Council. Education: PhD in Competence Analysis and Strategy Process from University of Cambridge (1995). Research interests span operations management, supply chain governance, project scale dynamics, and sustainable systems. Recent work examines drone adoption methodologies, conflict resolution in supply chains, and post-crisis trauma recovery in uniformed services. He has supervised 9 students and holds grants totaling £multi-million across 13 projects, emphasizing governance, healthcare innovation, and project delivery excellence. Key affiliations include the Centre for Sustainable Chemical Technologies, Institute of Sustainability & Climate Change, and Institute for Digital Security & Behaviour. His work aligns with UN SDGs related to industry, innovation, and infrastructure. Professional activities include policy fellowships and participation in global expert groups shaping industrial and project management practices.

Paul Moritz Wiegmannمشاهده پروفایل

استادیار

• Standardization
• Innovation Ecosystems
• Sustainable Development
• +۳ مورد دیگر

Paul Moritz Wiegmann is an Assistant Professor in the Department of Industrial Engineering and Innovation Sciences at Eindhoven University of Technology (TU/e), where he is part of the ITEM group. He currently serves as President of the European Academy of Standardisation (EURAS). His academic career includes visiting research positions at TU Berlin (2014 & 2015), Yonsei University, Seoul (2018), and the University of California, Davis (2023). Paul holds a PhD from Rotterdam School of Management, Erasmus University, alongside additional degrees from Erasmus University and the University of Warwick. His educational background emphasizes interdisciplinary training, reflected in his research and teaching. His research focuses on the role of standardization in innovation ecosystems, particularly how explicit and implicit rules enable value creation and capture. He employs mixed-methods approaches, including case studies, grounded theory, choice experiments, and conjoint analysis. His work aligns with UN Sustainable Development Goals, addressing societal challenges like sustainability and smart technologies through collaborative frameworks. Notable awards include the Industria Education Award 2022-2023 for Best Teacher Talent (2023) and the ISPIM Dissertation Award 2020 (2020). These recognize his contributions to both education and research in standardization and innovation. In advising and grants, Paul has supervised 30 works (names not listed) and leads the Measuring societal impact of standards project (2021–2022). He also coordinates the FIQCS: FIeldlab Quantum Cryptography Solutions for Safe Society initiative (2023–2028). His activities include organizing conferences like EU-SPRI 2025 and delivering invited talks on topics ranging from standardization governance to quantum technologies. Paul teaches courses such as Methodology for IE research and Patents design rights & standards exploration course , reflecting his expertise in standardization and research methods. He contributed to the Standardization literature database (2024), an interdisciplinary review, and engages in media discussions on topics like AI adoption in SMEs and quantum threat mitigation in public safety.

• Computer Science
• Cybersecurity
• Network Security
• +۳ مورد دیگر

Cristian E.W. Hesselman is a Full Professor at the University of Twente’s Department of Computer Science, specializing in the Design and Analysis of Communication Systems. His research focuses on cybersecurity, network security, and distributed systems, particularly in areas like DDoS mitigation, quantum-safe cryptography, and critical infrastructure protection. He has contributed to over 50 peer-reviewed publications since 1999 and actively collaborates internationally on security-related projects. Research interests include securing network protocols (e.g., DNSSEC, NTP), evaluating infrastructure vulnerabilities, and developing collaborative defense strategies against cyber threats. His work aligns with UN Sustainable Development Goals related to resilient infrastructure and innovation. Recent research highlights include studies on DDoS-resilient digital societies, NTP pool analysis, and quantum-safe cryptography testbeds. He has presented at conferences such as ANRW 2024 and delivered keynotes on middleware for secure media streaming. Dr. Hesselman has supervised 2 academic works and participates in activities like the Cyber Security Next Generation Workshop.

Holly Wilcoxمشاهده پروفایل

استاد

• Suicide Prevention
• Public Health
• Adolescent Health
• +۶ مورد دیگر

Holly Wilcox is a Professor in the Department of Mental Health at the Johns Hopkins Bloomberg School of Public Health with joint appointments in the Department of Health Policy and Management, Johns Hopkins School of Medicine, and Johns Hopkins School of Education. She serves as President of the International Academy of Suicide Research (IASR), member of the Scientific Council and Board of Directors of the American Foundation for Suicide Prevention (AFSP), suicide prevention consultant for the World Health Organization, and Affiliate Investigator at Australia's Centre for Research Excellence in Suicide Prevention. PhD, Johns Hopkins University (2003) MA, New York University (1998) BS, Northeastern University (1991) Dr. Wilcox's research focuses on public health approaches to suicide prevention through community-based universal prevention programs, data linkage strategies, and cross-sector implementation in schools, universities, social media, and emergency departments. Her work emphasizes population-based strategies targeting suicidal behaviors and addresses health disparities through culturally adapted interventions. She leads Johns Hopkins' multidisciplinary Suicide Prevention Working Group and actively mentors students, having won the Johns Hopkins Advising, Mentoring, and Teaching Recognition Award three times. Analysis of her recent publications reveals a strong emphasis on leveraging real-world data systems (Maryland Suicide Data Warehouse), developing ecological prevention models across multiple settings, and implementing evidence-based practices through policy mechanisms like the STANDUP Act. Her work increasingly integrates digital epidemiology (social media analysis) with traditional public health approaches while maintaining focus on vulnerable populations including adolescents, Latinx communities, and youth in child welfare systems. Recipient of the Andrej Marušic Suicide Research Award (2010) Dr. Robert Lewis Kane Memorial Award for data linkage research (2017) Multiple teaching excellence awards including AMTRA (2007, 2020, 2022) Best paper award in Archives of Suicide Research (2019) Dr. Wilcox has secured competitive grants from NIH, WHO, and other agencies to support her research. She actively collaborates with international organizations including WHO/UNICEF and Pan American Health Organization. Her mentorship extends to numerous students through the Johns Hopkins Bloomberg School of Public Health, where she teaches courses on suicide as a public health problem. She leads the Suicide Prevention Working Group that coordinates interdisciplinary research across Johns Hopkins divisions.

Anthony R. Ingraffeaمشاهده پروفایل

استاد

• Computational Mechanics
• Fracture Mechanics
• Structural Engineering
• +۴ مورد دیگر

Anthony R. Ingraffea is a Professor in Cornell University's College of Engineering, Department of Civil and Environmental Engineering. He has taught structural mechanics, finite element methods, and fracture mechanics at Cornell since 1977. His research focuses on computational simulation systems for fracture control in engineered systems, combining experimental testing with numerical modeling. His groundbreaking work in computational mechanics includes pioneering interactive computer graphics applications and leading the $15M NSF-funded Synthesis National Engineering Education Coalition. He received significant recognition for addressing aging aircraft problems through NASA-sponsored research. Key research areas include: Fracture mechanics in aerospace and civil systems Finite element analysis for complex materials Environmental risk assessment of energy infrastructure Digital twin technology for predictive engineering Renewable energy systems modeling Scientific awards highlight his achievements: NASA Group Achievement Award (1996) ASTM Irwin Medal (2006) TIME Magazine 'People Who Mattered' (2011) Fellow of the International Congress on Fracture (2009) NSF Presidential Young Investigator (1984) He has secured over $35M in R&D grants from agencies like NSF, NASA, and industry partners including Boeing and IBM. His educational innovations in engineering teaching technology earned multiple university and national awards.

Agostino Capponiمشاهده پروفایل

استاد

• Systemic Risk
• Financial Technology
• Blockchain and Crypto Economics
• +۴ مورد دیگر

Agostino Capponi is a Professor of Industrial Engineering and Operations Research at Columbia University, affiliated with Columbia Engineering and the Data Science Institute (DSI). He holds academic fellowships at the Luohan Academy (Alibaba Group) and the Fintech@Cornell Center. His research focuses on systemic risk, financial technology, blockchain economics, and machine learning applications in finance. He has authored a best-selling book on machine learning in financial markets and received prestigious awards including the NSF CAREER Award and the JP Morgan AI Faculty Research Award. Education: Master's and PhD in Computer Science and Applied & Computational Mathematics from Caltech (2006-2009). Professional roles include Editor of Management Science , co-editor of Mathematics and Financial Economics , and leadership positions in the Bachelier Finance Society and INFORMS Finance Section. His research has been funded by NSF, DARPA, J.P. Morgan, Ethereum Foundation, and others. Research interests span blockchain governance, decentralized finance protocols, and systemic risk mitigation in financial networks. Notable contributions include work on liquidity risk, crypto-economic systems, and causal inference in financial modeling. Media coverage includes American Banker, Vox, and Chicago Booth Review. He holds a patent in military network tracking and served as a visiting scholar at the Federal Reserve Bank of New York.