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Justine PilaView profile

Professor

• Intellectual Property
• Regulation
• Law and Technology
• +3 more

Justine Pila is a Professor of Law at the University of Oxford and a Tutorial Fellow at St Catherine's College, where she also serves as College Counsel and Secretary to the Governing Body. She holds a part-time professorship at the University of Bergen (until 2024). Her research focuses on intellectual property law, regulation, and law-technology intersections, with notable contributions to patent eligibility, biotechnology law, and EU legal harmonization. She co-chairs the 'Health, Law and Emerging Technologies' Research Group and is a Research Fellow at the Institute of European and Comparative Law. Her teaching spans graduate courses on Law, Regulation and Technology, Comparative Copyright, and EU Law. She has supervised numerous DPhil students in intellectual property and technology law domains. Pila earned her undergraduate degrees in Law and Arts from the University of Melbourne, practiced as an IP solicitor, and completed a PhD in Law focusing on patents. Her publications include influential monographs like *The Requirement for an Invention in Patent Law* (OUP 2010) and edited volumes such as *The Oxford Handbook of Intellectual Property Law* (2018). Her recent work addresses post-pandemic patent systems, AI-driven regulatory challenges, and the ethical dimensions of biotechnology patents. Awards: None explicitly listed, though her contributions have earned significant academic recognition. Grants/Labs: Active in interdisciplinary research through Oxford’s Health, Law and Emerging Technologies Group and the Institute of European and Comparative Law.

Yongqun HeView profile

Professor

• Computational Medicine
• Bioinformatics
• Ontology Development
• +8 more

Dr. Yongqun He is a Professor at the University of Michigan Medical School with primary affiliation in the Unit for Laboratory Animal Medicine (ULAM) and joint appointments in the Department of Learning Health Sciences and Department of Microbiology and Immunology. He holds affiliations with the Rogel Cancer Center, MIDAS, and other institutions. He earned his D.V.M. from Jiangxi Agricultural University (China) and Ph.D. in Biomedical and Veterinary Sciences from Virginia Tech (USA). His research focuses on computational medicine, ontology development, vaccinology, and microbiology. He pioneered Vaccine Informatics, developed tools like VO, Ontobee, and Ontofox, and contributed to Kidney Precision Medicine through ontologies like KTAO. He has mentored numerous students and serves on NIH review panels, international conferences, and advisory boards. His work includes over 300 publications, with recent topics on ontology-based vaccine design, AI applications, and kidney disease modeling. Education: D.V.M. (1991), M.S. Veterinary Medicine (1996), Ph.D. Biomedical Sciences (2000) from China Agricultural University and Virginia Tech. Research: Integrates AI, ontology, and bioinformatics to study vaccines, pathogens, and kidney diseases. Services: NIH grant reviewer, organizer of international ontology workshops (VDOS, CELLS), and editorial board member for journals like Frontiers in Cellular and Infection Microbiology .

Lizbeth Olivia Escobedo BravoView profile

Assistant Professor

• Human-Computer Interaction
• Ubiquitous Computing
• Cognitive Assistive Technology
• +15 more

Lizbeth Olivia Escobedo Bravo is an Assistant Professor in the Faculty of Computer Science at Dalhousie University, where she conducts research at the intersection of Human-Computer Interaction, Ubiquitous Computing, and Cognitive Assistive Technology. Her work focuses on developing and evaluating technology to improve the quality of life for vulnerable populations, particularly children with autism, pregnant women, and individuals with cognitive disabilities. Her educational background includes a BS and PhD from Universidad Autónoma de Baja California (UABC), an MSc from Centro de Investigación Científica y de Educación Superior de Ensenada (CICESE), and a postdoctoral fellowship in Biomedical Informatics at UC San Diego. BS – Universidad Autónoma de Baja California (UABC) PhD – Universidad Autónoma de Baja California (UABC) MSc – Centro de Investigación Científica y de Educación Superior de Ensenada (CICESE) Postdoc – University of California, San Diego (Biomedical Informatics) Her research interests include Human-Computer Interaction (HCI), Ubiquitous Computing, Cognitive Assistive Technology (CAT), Mobile Technologies, Accessible Computing, and Children-Computer Interaction. She emphasizes interdisciplinary collaboration across computer science, psychology, education, medicine, and design. The 15 most recent articles reflect a consistent focus on assistive technologies for neurodevelopmental and cognitive challenges. Key themes include early detection of developmental delays (ActEarly), handwriting assessment (PenSando), autism support (MOBIS, MOSOCO, FarmerKeeper, SATORI), maternal health (PREGO), and ADHD assistance (SmarTasko). These works span mobile, augmented reality, and sensor-based systems, with strong emphasis on usability, accessibility, and real-world deployment across diverse cultural and economic contexts. Scientific contributions and recognitions include: Active research leadership in multiple assistive technology projects Interdisciplinary collaborations with institutions such as Georgia Tech, UC Irvine, UC San Diego, MSU, Chapman University, and CREATE-NET Industry partnerships with IMSS, Pasitos A.C., ClubLia Kinder, EdNinja Inc., and others Focus on technology for social good and inclusive design She is actively involved in mentoring and advising, currently recruiting PhD and Master’s students for her research group. Her work has been supported through academic and industry collaborations, though specific grants are not listed. She previously worked in the software industry as a project manager and COO, bringing leadership experience to her academic role. Lizbeth leads a dynamic research lab focused on developing and deploying accessible, user-centered technologies. Her team works on projects such as ActEarly, PenSando, and SATORI, often involving cross-border studies and community engagement. The lab emphasizes real-world impact, ethical design, and scalability of solutions, particularly for underserved populations in Latin America and North America.

• Climate Change and Health
• Biometeorology
• Heat Stress
• +3 more

Dr. Claudia Di Napoli is a researcher at the University of Reading specializing in climate-health interactions, with a focus on biometeorology and heat stress impacts. She serves as a key contributor to the Lancet Countdown on Health and Climate Change , an international research collaboration tracking climate-health indicators across 44 organizations. Her work bridges meteorological science and public health through operational climate services development. Her research centers on thermal comfort indices , heat stress epidemiology , and climate reanalysis applications for health protection. Notable contributions include developing the ERA5-HEAT global dataset and Thermofeel open-source library for thermal stress assessment. She investigates regional vulnerabilities from Caribbean heatwaves to European mortality patterns, emphasizing urban environments and occupational exposure risks while advancing methodologies for climate service integration into health systems. Analysis of her 15 most recent publications reveals three dominant trends: (1) operationalization of climate data for health decision-making through tools like Thermofeel; (2) rigorous validation of reanalysis models against health outcomes; and (3) exploration of compound hazards (e.g., heatwaves concurrent with wildfires or pandemics). Her work consistently addresses equity dimensions of climate vulnerability, with increasing focus on transboundary risks and Global South impacts. Dr. Di Napoli actively collaborates with the World Health Organization, European Centre for Medium-Range Weather Forecasts (ECMWF), and Global Heat Health Information Network. Her advisory role in the Lancet Countdown involves mentoring early-career researchers across 20+ countries and securing multi-institutional grants for climate-health monitoring systems. Recent projects include heatwave forecasting during the COVID-19 pandemic and Caribbean climate vulnerability assessments funded by UK Research and Innovation. She co-leads the University of Reading's climate-health analytics team within the European Climate Assessment & Dataset (ECA&D) initiative, developing real-time thermal stress monitoring frameworks adopted by public health agencies in 12 countries. Her group maintains partnerships with the International Society of Biometeorology and WHO's Global Heat Health Information Network for operational tool deployment.

• Computer Systems
• Cybersecurity
• Systems Security
• +12 more

Jingjie Li is a Lecturer (Assistant Professor) in the School of Informatics at the University of Edinburgh, where he conducts interdisciplinary research at the intersection of computer systems, cybersecurity, and human-computer interaction. He is a member of the Institute for Computing Systems Architecture and the School of Informatics Ethics Committee. Ph.D. in Computer Engineering, University of Wisconsin-Madison (2017–2023) B.Eng. (R&D) with First-Class Honours, Australian National University (2015–2017) B.Sc., Beijing Institute of Technology (2013–2015) His research focuses on user-centric security and privacy , measuring human behavior in digital systems , and efficient human-machine interfaces . He investigates risks in emerging technologies such as smart homes, AR/VR, and AI systems, aiming to make them safer and more human-centric. His work combines technical innovation with behavioral insights to design practical privacy controls, measure digital risks, and build efficient computing platforms. The recent publications highlight a strong trend in privacy transparency , AI explainability , smart home and AR/VR security , and hardware-software co-design . His work frequently appears in top-tier venues including IEEE S&P, USENIX Security, ACM CHI, and ISCA, reflecting a consistent focus on both technical depth and human factors. Notable scientific awards include: ACM CHI Best Paper Award (2019) Facebook Trustworthy Products in AR, VR, and Smart Devices Award (2021) CPS Rising Star, NSF (2022) Generative AI Laboratory Seedcorn Award, University of Edinburgh (2024) Qualcomm Innovation Fellowship Finalist (2019, 2021) Jingjie Li actively supervises PhD students including Jiuming Jiang and Karen Jiamin Zheng, and co-supervises Lawrence Piao and Temima Hrle. He has received research support through fellowships such as the UW–Madison Chancellor’s Opportunity Fellowship and has collaborated globally with institutions including Max Planck Institute, Visa Research, and CSIRO. He serves on the program committees of major conferences like ACM CCS, USENIX Security, and ACM CHI. He leads a dynamic research team focused on systems security and human-centered computing, hosting undergraduate researchers and mentoring students through projects in privacy, AI transparency, and hardware security. His lab fosters interdisciplinary collaboration and real-world impact through community engagement, such as the 'Hack Your Age' workshop with intergenerational participants.

D. Robert AdamsView profile

Professor

• Procedural Content Generation for Games
• Digital Humanities
• Computer Music
• +3 more

D. Robert Adams is a Professor at the College of Computing of Grand Valley State University . He serves as Associate Dean of Graduate Studies and Graduate Program Director for Data Science and Analytics . Based in office MAK C-2-112, he can be reached at adamsr@gvsu.edu or (616) 331-3885. Education Ph.D. in Computer Science (University of Kentucky, 1998) B.S. in Computer Science (Northern Kentucky University, 1991) His research interests focus on procedural content generation for games , digital humanities , and computer music . His scholarship bridges computational methods with creative applications, including algorithmic approaches to musical difficulty modeling and computational nutrition systems. Scientific contributions include: 2021 - NextTune: Computational music difficulty modeling 2017 - Personality analysis in computing education 2016 - Global collaboration frameworks in CS education Honors: Fulbright Scholar (2019, FH Joanneum, Austria) Glenn A. Niemeyer Award (2020, GVSU) As an academic advisor, he has guided student research projects including: 2024 - Dynamic Game Level Generation with Jeffrey Hackbarth 2024 - Secure Software Development Lifecycle with Reagan Ondiek 2021 - Cryptocurrency Gaming Applications with T. Nguyen

Maria LotzeView profile

Assistant Professor

• Managerial Compensation
• Sustainable Value Creation
• Bonus Deferral Mechanisms
• +3 more

Maria Lotze is an Assistant Professor at the Chair of Accounting & Controlling at the University of Augsburg's Faculty of Business and Economics. She has been in this role since 2021, previously serving as a Lecturer (2015-2021) and Research Assistant (2010-2015). Education Bachelor’s in Global Business Management, University of Augsburg (2009-2012) Master’s in Finance and Information Management, Technical University of Munich and University of Augsburg (2012-2015) Doctorate, University of Augsburg (2020) Her research focuses on value-oriented manager compensation and innovation performance metrics . She has co-authored publications on topics like bonus deferral mechanisms and capitalized R&D expenditures , contributing to debates on sustainable value creation and corporate governance. Recent publications include textbook contributions on accounting fundamentals and financial statement analysis , reflecting her expertise in both theoretical and applied accounting. Her work integrates German Commercial Law (HGB) , IFRS , and US GAAP standards. Key Collaborations Worked with professors Wolfgang Schultze, Adolf Coenenberg, and Philipp Sandner Contributed to multiple editions of accounting textbooks

• Educational Technology
• Higher Education Internationalization
• Natural Language Processing
• +7 more

Maria Teresa Abad Soriano is affiliated with the Universitat Politècnica de Catalunya (UPC), specifically within the Faculty of Computer Science (FIB), Department of Computer Sciences. She is a researcher in the GPLN - Natural Language Processing Group and the TALP Research Center, contributing to both educational technologies and computational linguistics. Her work spans decades, showing sustained academic engagement. Her research interests focus on educational technology, higher education internationalization, computer-supported collaborative learning, distance learning systems, knowledge representation, and academic mentorship . These are reflected in her long-term involvement in projects related to e-learning platforms, tutoring systems, and institutional development in computing education. The analysis of her recent publications (2019–2024) reveals a strong trend towards the internationalization of higher education in computing, with detailed studies on mobility, academic policies, and institutional impact. Earlier works (1990s–2000s) center on algorithmic education, groupware modeling, and intelligent tutoring systems, showcasing a career that evolved from technical AI and educational software to broader educational policy and management. She has contributed to competitive R&D+i projects such as OPENMT and SKATeR, and has co-authored technical reports, conference papers, and indexed journal articles. Her collaborations include key figures like Nuria Castell, Juan Antonio Pastor, and Maria Felisa Verdejo. Scientific Awards: No scientific awards were mentioned in the provided text. She has supervised or contributed to the Doctoral Program in Business Administration and Management, and her technical and educational outputs suggest an advisory role in research, though specific students are not listed. She has participated in multiple competitive research projects funded under Spain’s National Research Plans, indicating success in grant acquisition. Her work with open datasets and technical documentation supports open science and institutional transparency. She is actively involved in research groups such as GPLN and TALP, which focus on natural language processing and language technologies, contributing to both theoretical and applied advancements in the field.

Gabriel GomezView profile

Professor

• Information Science
• Library and Information Science
• Big Data and Society
• +7 more

Gabriel Gomez is a Professor in the Department of Information Studies within the College of Arts & Sciences at Chicago State University. His work bridges library science, social justice, and digital culture, with a strong emphasis on LGBTQ history and the societal implications of big data. He holds a Ph.D. and MA from Northwestern University and a BFA from the School of the Art Institute of Chicago. Ph.D., Northwestern University MA, Northwestern University BFA, School of the Art Institute of Chicago His research centers on the cultural impact of data, information literacy, and LGBTQ education and history. He critically examines how big data shapes human behavior, challenges empowerment through information literacy, and promotes inclusive narratives through public history projects like The Legacy Project . His interdisciplinary approach connects library science with critical theory, museum studies, and social justice advocacy. The recent publications reveal a consistent focus on big data ethics, information behavior, and LGBTQ representation. His work interrogates the instrumentalist views of data, advocates for ethical information practices, and documents marginalized histories. He frequently explores how digital tools can either reinforce or challenge power structures in education and society. Scientific awards and recognitions include: 2024 Spring CHICAGO STATE RESEARCH CUES AWARD 2018–2020 Fulbright Specialist Award (New Delhi, India) 2017 Faculty Excellence Award 2014 Professional Advancement Increase (PAI) Award 2013 Center for Teaching and Research Excellence Grant 2007 Dean’s Professional Development Award 2005 Fulbright Lecturer Award (Aligarh Muslim University, India) Gomez has secured multiple grants supporting research in information literacy, LGBTQ history, and data mining in education. He has collaborated with institutions internationally, including the Council of Scientific and Industrial Research (CSIR)-NISCAIR in India, and has contributed to accreditation frameworks in library education. His advising may involve students in public history, digital curation, and social justice projects, though specific advisees are not listed. He is a key figure in The Legacy Project , an initiative creating permanent outdoor exhibits of LGBTQ history, demonstrating his commitment to community-based scholarship and public engagement. This project connects museum advocacy with education and role model visibility, serving as a living archive of LGBTQ contributions.

Mohamed AllaliView profile

Associate Professor

• Data Engineering
• Machine Learning
• Climate Data Analysis
• +3 more

Mohamed Allali is an Associate Professor at Chapman University, affiliated with both the Fowler School of Engineering (Department of Electrical Engineering and Computer Science) and Schmid College of Science and Technology (Department of Mathematics). His research spans data engineering, machine learning, climate informatics, and mathematical education. He has contributed to constraint-based intelligent tutoring systems, data drift detection using KL divergence, and geospatial analysis for environmental monitoring. Education: University of Oklahoma (BS, MA, PhD). His recent work focuses on data distribution divergence, climate modeling for sea turtle habitats, and neural network applications in medical imaging. He has collaborated extensively on drought indices, satellite data validation, and educational technologies. His publications highlight expertise in statistical learning, computational methods, and interdisciplinary environmental applications.

Simon AdrianView profile

Professor

• Computational Electromagnetics
• Electromagnetic Integral Equations
• Antenna Design
• +3 more

Prof. Simon Adrian holds the Chair of Theoretical Electrical Engineering at the Institute of General Electrical Engineering, University of Rostock, Germany. His research focuses on computational electromagnetics with critical applications in antenna design, electromagnetic compatibility, and medical technology. He serves as Associate Editor for the IEEE Transactions on Antennas and Propagation and contributes to the IEEE Antennas and Propagation Society Education Committee, demonstrating significant academic leadership in the global electromagnetics community. His primary research addresses low-frequency instability challenges in electromagnetic integral equations through innovative numerical techniques. Key areas include Calderón preconditioners, quasi-Helmholtz projectors, B-spline discretizations, and adaptive cross approximation methods. These approaches enable robust simulations across diverse applications from radar systems and antenna design to biomedical problems like deep brain stimulation and electroencephalography. Recent work emphasizes broadband stability and efficient solvers for multiply-connected geometries. Analysis of Prof. Adrian's publication trends (2023-2025) reveals a concentrated effort on overcoming fundamental limitations in electromagnetic modeling. His work consistently targets low-frequency regimes where traditional methods fail, developing mathematically rigorous stabilization techniques while expanding into biomedical applications. The integration of isogeometric analysis with specialized discretization strategies represents a cutting-edge direction in computational electromagnetics. Professional engagement includes active membership in the Institute of Electrical and Electronics Engineers (IEEE), IEEE Antennas and Propagation Society, and Union Radio-Scientifique Internationale (URSI), reflecting his commitment to advancing the field through collaborative research and scholarly communication.

Maciej BarczewskiView profile

Professor

• Intellectual Property Law
• Copyright Law
• Industrial Property Law
• +3 more

Maciej Barczewski serves as Professor and Head of the Department of Human Rights and Intellectual Property Law at the University of Gdańsk's Faculty of Law and Administration. He concurrently leads the Non-Stationary Doctoral Studies in Law (English-language program) and acts as an international expert for entities including the European Parliament, European Commission, World Intellectual Property Organization (WIPO), and Polish Association of Private Hospitals. Previously, he held positions as Adjunct Professor at Chicago-Kent College of Law (2007-2009) and Visiting Researcher at the University of Oxford (2010). His research centers on intellectual property law's intersection with digital technology, human rights, and public health. Key focus areas include copyright frameworks in digital environments, pharmaceutical patent flexibilities under TRIPS, treaty mechanisms like ACTA and TPP, and audiovisual performers' rights under the Beijing Treaty. His work critically examines tensions between proprietary rights and societal interests, particularly regarding medicine access and cultural participation. Barczewski's recent publications (2007-2013) reveal evolving scholarship from foundational treaty analyses toward contemporary challenges in digital rights management and health policy. His output demonstrates increasing emphasis on balancing intellectual property enforcement with human rights obligations, especially in international trade agreements affecting developing nations. Scientific recognition includes: Winner of ATRIP's International Research Competition in Intellectual Property Law (2007) As academic supervisor for doctoral candidates and frequent guest lecturer across global institutions (London, Chicago, Madrid, Singapore, etc.), he shapes emerging legal scholarship while contributing to editorial boards of major law journals. His advisory roles with EU bodies and WIPO directly influence international IP policy development.

Yong ChenView profile

Professor

• Data-Intensive Computing
• Parallel and Distributed Computing
• High-Performance Computing
• +3 more

Dr. Yong Chen is a Professor and Interim Department Chair in the Computer Science Department at Texas Tech University (TTU), where he founded the Data-Intensive Scalable Computing Laboratory (DISCL). He also serves as Co-Director of the NSF Cloud and Autonomic Computing Center (CAC@TTU), focusing on data-intensive computing, high-performance computing (HPC), cloud systems, and parallel/distributed architectures. His research bridges hardware-software co-design for scientific and enterprise applications. Ph.D., Computer Science, Illinois Institute of Technology (2009) M.S., Computer Science, University of Science and Technology of China (2003) B.E., Computer Engineering, University of Science and Technology of China (2000) Dr. Chen's research spans data-intensive computing, HPC, cloud systems, and parallel architectures. He develops scalable solutions for scientific discovery and enterprise computing, emphasizing systems software, storage optimization, and hardware-software co-design. His work addresses challenges in metadata management, 3D-stacked memory, and efficient resource allocation in distributed environments. Recent publications include studies on 3D-stacked memory optimization (IEEE TC), metadata indexing (SC), and parallel file system reliability (ICS). His work is characterized by interdisciplinary collaboration and practical applications in HPC domains. NSF-TCPP Early Adopter Status Award Best Paper Award (IPDPS'21) Outstanding Teaching Assistant, IIT (2006) Dr. Chen advises students through graduate and undergraduate research assistantships at DISCL and CAC@TTU, offering financial support for qualified candidates. He has contributed to major conferences as Program Co-Chair (ICPP) and Committee Member (IPDPS, CCGrid, ISC, HPCAsia). Labs/Teams: Data-Intensive Scalable Computing Laboratory (DISCL), NSF Cloud and Autonomic Computing Center (CAC@TTU).

Rajiv KohliView profile

Professor

• Healthcare Information Systems
• Business Value of Information Technology
• Digital Innovation
• +2 more

Rajiv Kohli is the John N. Dalton Professor of Business at the Raymond A. Mason School of Business, William & Mary. He holds a PhD in Information Systems from the University of Maryland, Baltimore County, and has taught at institutions including the University of Notre Dame, Lehigh University, and University of Maryland College Park, where he received the Teaching Recognition Award. Dr. Kohli is a top-ranked MIS researcher globally and #1 in Health Information Technology thought leadership. He has held visiting positions at MIT Sloan, Tsinghua University, RWTH Aachen, National University of Singapore, City University of Hong Kong, University of Canterbury, and University of Cambridge. PhD in Information Systems from University of Maryland, Baltimore County Dr. Kohli's research focuses on Healthcare Information Systems , the Business Value of Information Technology , and Digital Innovation . His work explores how IT investments drive organizational value, the role of information systems in healthcare transformation, and the strategic integration of emerging technologies like blockchain into organizations. Recent publications analyze topics such as API value generation, temporal displacement of care, and pandemic risk modeling. Scientific Awards and Roles: Teaching Recognition Award Honorary Fellow of the Cambridge Judge Business School Research Affiliate at MIT Sloan Center for Information Systems Research Senior Editor for Information Systems Research Vice President, Publications for the Association for Information Systems (2019-2022)

Christopher M. MorettiView profile

Senior Lecturer

• Computer Science Education
• Distributed Computing
• Storage Systems
• +1 more

Christopher M. Moretti is a Senior Lecturer in the Department of Computer Science at Princeton University's School of Engineering and Applied Science. He has taught foundational courses including COS126 (Introduction to Computer Science), COS217 (Systems Programming), COS326 (Functional Programming), and COS333 (Software Engineering) since joining Princeton in 2010. He serves as academic advisor for computer science majors (classes of 2017, 2021, 2024) and freshman engineering students (classes of 2016, 2017), and holds the role of department placement officer. His educational background includes: Ph.D. in Computer Science and Engineering, University of Notre Dame (2010) M.S. in Computer Science and Engineering, University of Notre Dame (2007) B.S. in Computer Science, College of William and Mary (2004) Dr. Moretti's research centers on Computer Science Education and Distributed Computing and Storage . In education, he develops advanced K-12 professional development content and innovative teaching methodologies. His distributed systems work focuses on scalable frameworks for campus grids, cloud computing, and storage solutions like the Chirp filesystem. He directs undergraduate independent work projects across distributed computing, sports analytics, and software engineering. His publication history reveals consistent contributions to practical distributed systems infrastructure, with recent emphasis on educational applications and bioinformatics scalability. Key themes include abstraction layers for heterogeneous computing environments and pedagogical approaches for complex CS concepts. He has received significant recognition for teaching excellence: SEAS Excellence in Teaching Award (2024) SEAS Excellence in Teaching Award (2023) Dr. Moretti actively mentors undergraduate researchers through independent work projects, though specific student names are not documented. His grant activities likely support distributed systems research and educational initiatives, though explicit funding details are absent from the source material. He maintains strong connections to the Cooperative Computing Lab from his Notre Dame doctoral work under Professor Doug Thain. Outside academia, he participates in Princeton sports culture (particularly hockey), enjoys tennis and trivia competitions, and travels with a focus on zoological institutions. A Notre Dame athletics enthusiast, he previously contributed to sports statistics and media relations during graduate studies.