Nicole M. Gasparini is an Associate Professor in Tulane University's Department of Earth and Environmental Sciences, School of Science & Engineering. She holds a Ph.D. from MIT (2003) and researches fluvial/tectonic geomorphology, landscape evolution modeling, and climate-erosion interactions using tools like Landlab. Her work investigates sediment transport, river network evolution, and human impacts on landscapes. Research integrates field data with numerical models to quantify erosion processes across diverse environments. Publications demonstrate expertise in geomorphic model development, particularly through contributions to the Landlab toolkit. Recent articles focus on climatic controls on erosion, fault geomorphology, and uncertainty quantification in earth-surface models. Awards: Marguerite T. Williams Award for contributions to geosciences and advocacy against harassment in STEM Leads collaborative projects on landscape response to climate change and mentors students/postdocs in geomorphology and computational modeling.
Philip Schlesinger is a Professor in Cultural Theory at the University of Glasgow and holds roles at CREATe, a Centre for Regulation of the Creative Economy. He previously held the inaugural Chair in Cultural Policy at Glasgow (2007–present), directed the Centre for Cultural Policy Research (CCPR) until 2013, and led the Stirling Media Research Institute. His research focuses on digital platforms’ regulation, cultural policy, and the interplay between expertise and power in governance. Collaborations span institutions like the London School of Economics, Complutense University of Madrid, and the European University Institute. His work critiques the 'post-public sphere' and explores neo-regulation frameworks for digital platforms, emphasizing UK policy dynamics. Key publications include analyses of generative AI governance, platform power, and the creative economy’s global orthodoxies. He has held fellowships at the Nuffield Foundation, European University Institute, and Maison des Sciences de l’Homme in Paris. As a leader in cultural policy research, Schlesinger has advised on UK film policy, media transitions, and digital challenges. His interdisciplinary approach bridges sociology, media studies, and law, addressing topics like public service media, creative industries, and transnational cultural frameworks. Ongoing projects include policy responses to AI and platform regulation, reflecting his commitment to shaping evidence-based cultural and digital policies.
Ning Nan is an Associate Professor at the University of British Columbia's Sauder School of Business, specifically within the Department of Accounting and Information Systems. With a BA from Peking University, an MA from the University of Minnesota, and a PhD from the University of Michigan, Dr. Nan focuses on digital business strategy, evolvable IT infrastructure, and complex adaptive systems. His research explores blockchain applications, agent-based modeling, and the intersection of AI with societal challenges like sustainability. Education: PhD in Information Systems, University of Michigan MA in Information Systems, University of Minnesota BA in Computer Science, Peking University Research Interests: Dr. Nan investigates how technology shapes organizational and societal systems, with a focus on AI ethics, sustainability through personalized recommendations, and blockchain's role in decentralized supply chains. He employs agent-based modeling to simulate complex phenomena like innovation diffusion and online community dynamics. Recent work addresses explainable AI in smart cities and carbon-reduction gamification strategies. Teaching: In 2024-2025, he teaches Data Management for Business Analytics , emphasizing practical applications of data-driven decision-making. Key Research Themes: His articles highlight trends in AI sustainability (e.g., carbon footprint impacts of recommendation systems), digital business strategy (blockchain governance, app update strategies), and foundational IS theory (hyperturbulence and IS strategy).
Mark J. Loewenstein is the Monfort Professor of Commercial Law at the University of Colorado Law School, where he has been a faculty member since 1979. He teaches courses in Business Associations, Securities Law, and Contracts, and has established himself as a leading scholar in business law. Professor Loewenstein previously practiced business law at a Chicago law firm before joining academia and has maintained strong connections with the legal profession throughout his career. Professor Loewenstein's educational background includes: JD from the University of Illinois, Champaign-Urbana BA from the University of Illinois, Champaign-Urbana Professor Loewenstein's research focuses on business associations, agency law, and securities law, with particular expertise in corporate governance. His scholarly work examines the legal structures of business organizations, fiduciary duties in unincorporated entities, and the evolving landscape of corporate law. He has made significant contributions to understanding LLC governance, veil piercing doctrines, and the application of good faith principles in business contexts. His comparative work on stakeholder protection in Germany and Japan demonstrates his international perspective on corporate governance issues. Analysis of Professor Loewenstein's publications reveals a consistent focus on the intersection of business organization law and corporate governance. His work spans theoretical examinations of agency principles, practical analyses of LLC structures, and historical perspectives on corporate law developments. A notable trend in his scholarship is the examination of how traditional corporate law concepts apply to newer business forms, particularly limited liability companies. His publications also demonstrate a strong interest in the balance between state and federal regulation of business entities. Professor Loewenstein has received significant professional recognition: Monfort Professor of Commercial Law (endowed chair) Fulbright Scholar at Hokkaido University, Japan (1990-91) Visiting Professor at University of Michigan Law School (1999) Throughout his career, Professor Loewenstein has demonstrated exceptional service to both the University of Colorado Law School and the broader legal community. He served as associate dean for academic affairs for nine years and associate dean for research for four years. He was a member of Colorado's Securities Board from 1995 to 2000 and contributed to the drafting of the 1994 Colorado Business Corporation Act. As a delegate to the ABA House of Delegates (1999-2005) and active member of the ABA's business law committee, he has influenced business law development at the national level. His service extends to editorial roles for legal publications and frequent presentations at professional conferences. Professor Loewenstein maintains strong connections with the legal practice community through his ongoing service on the Colorado Bar Association's Corporate Law Revision Committee and his contributions to continuing legal education programs. His work bridges academic scholarship and practical legal application, making him a valued resource for both students and practitioners.
Dr. John A. Copland III is a Professor of Cancer Biology and Biochemistry & Molecular Biology at Mayo Clinic in Jacksonville, Florida. He leads the Cancer Biology and Translational Research Laboratory, focusing on molecular mechanisms of carcinogenesis, tumor progression, and development of targeted cancer therapies. Education: PhD in Physiology & Endocrinology (Medical College of Georgia), MS in Endocrinology (Medical College of Georgia), BS in Chemistry (Columbus College), with postdoctoral training at University of Texas Medical Branch. Research interests center on: Identifying tumor suppressor genes (e.g., RhoB, TBR3, GATA3) and oncogenes (e.g., FOXO3a, SCD1, NPTX2). Developing patient-derived xenografts and live cell models for personalized medicine. Designing SCD1 inhibitors via in silico modeling for clinical trials. Recent publications highlight his work on SCD1 inhibition in leukemia and thyroid cancer ImmunoPET imaging of thyroid tumors CRISPR-identified drug synergies in cholangiocarcinoma Patient-specific combination therapies using xenograft models
Thomas Bäck is a Professor at the Leiden Institute of Advanced Computer Science (LIACS) , Leiden University , Netherlands, and a member of the interdisciplinary programme Society, Artificial Intelligence and Life Sciences (SAILS) . His academic career spans roles at Leiden University (1996–present) and leadership positions at the Center for Applied Systems Analysis in Dortmund (1994–2000). Education : Diplom-Informatiker (Computer Science), Technische Universität Dortmund (1990) Dr. rer. nat. (Computer Science), Technische Universität Dortmund (1994) Research Interests : Dr. Bäck specializes in evolutionary computation , machine learning , and their applications in sustainable smart industry and healthcare . Recent work focuses on integrating large language models (LLMs) and quantum computing into optimization frameworks, with projects like CIMPLO (predictive maintenance), ECOLE (experience-based optimization), and SAPPAO (airline operations optimization). Scientific Contributions : His 526+ publications cover evolutionary algorithms, quantum optimization, and LLM-driven design, with recent trends including: Quantum computing (e.g., quantum approximate optimization, quantum advantage challenges) LLM integration (e.g., hyperparameter tuning, mutation control, code evolution graphs) Healthcare and industry (e.g., predictive maintenance, anomaly detection, melt quality prediction) Algorithm benchmarking (e.g., IOHprofiler, MA-BBOB, explainable benchmarking) Scientific Awards : IEEE Fellow (2022) Royal Netherlands Academy of Arts and Sciences (KNAW) member (2021) Academia Europaea member (2022) IEEE Computational Intelligence Society Evolutionary Computation Pioneer Award (2015) Fellow, International Society of Genetic and Evolutionary Computation (2003) Best Ph.D. thesis award, German Society of Computer Science (GI) (1995) Advising and Grants : He supervises Ph.D. candidates in evolutionary computation and machine learning and has secured 7 major grants from organizations like the Dutch Research Council , European Commission , and The Research Council of Norway . His editorial roles include Editor-in-Chief of the Evolutionary Computation Journal and associate editorships in leading AI journals.
Dr. Rachel Penczykowski is an Assistant Professor of Biology at Washington University studying disease ecology in changing environments. Her NSF CAREER Award supports research on urban plant pathogens, particularly powdery mildew epidemics in urban heat islands. Combining field observations, lab experiments, and mathematical modeling, she examines how climate, biodiversity loss, and urbanization reshape host-parasite interactions. Her work spans diverse ecosystems—from aquatic Daphnia-parasite systems to terrestrial plant-pathogen networks—revealing how predators, resources, and microclimates indirectly modulate disease spread. Current projects investigate warming impacts on fungal virulence and host resistance evolution in St. Louis-area plant populations. Dr. Penczykowski leads outreach through the PlantSTEM program, engaging K-12 students in pathogen research. She mentors high schoolers via Tyson Research Center apprenticeships and teaches Disease Ecology, integrating modeling with empirical approaches. Her lab collaborates with the Taylor Geospatial Institute to map urban microclimate-disease linkages.
Roberto A. Chica is a Full Professor in the Department of Chemistry and Biomolecular Sciences at the University of Ottawa, Faculty of Science. His research focuses on computational and experimental protein engineering, particularly in designing novel enzymes and fluorescent proteins for biotechnological applications. He develops advanced algorithms for protein design and investigates enzyme dynamics using molecular modeling and structural biology approaches. Key research interests include biocatalysis, structural biology, and the application of computational methods to engineer proteins with tailored functions. His lab integrates experimental protein chemistry with computational simulations to understand catalytic mechanisms and design proteins for industrial and biomedical uses. Recent work emphasizes ensemble-based computational enzyme design, exploring how conformational landscapes influence catalytic efficiency. His articles highlight advancements in artificial enzyme creation, substrate specificity modulation, and fluorescent protein optimization. Chica’s contributions bridge fundamental biochemistry with applied innovations in protein engineering. Notable achievements include the design of bright red fluorescent proteins via computational approaches and the development of biosensors for protein expression monitoring. His research has implications for drug discovery, biocatalytic synthesis, and personalized medicine.
Brian Hie is an Assistant Professor of Chemical Engineering at Stanford University , a Dieter Schwarz Foundation Stanford Data Science Faculty Fellow , and an Innovation Investigator at Arc Institute . He leads the Laboratory of Evolutionary Design , focusing on the intersection of biology and machine learning . His prior roles include a Stanford Science Fellow in the Stanford University School of Medicine and a Visiting Researcher at Meta AI . Education: Ph.D. , Electrical Engineering and Computer Science , Massachusetts Institute of Technology (2021) Bachelor’s Degree , Stanford University Research Interests: Brian’s work bridges machine learning and computational biology , with a focus on protein engineering , single-cell RNA sequencing , and viral evolution . His Evolutionary velocity framework predicts protein evolutionary dynamics across timescales, while his Scanorama algorithm enables efficient integration of heterogeneous single-cell datasets. He also develops structure-informed language models for antibody optimization and uncertainty-aware ML for biological discovery. Publication Trends: His recent work (2023) emphasizes structure-based inverse folding for antibody evolution, evolutionary scale modeling , and unsupervised optimization . Earlier studies (2022-2021) cover evolutionary velocity , multi-modal single-cell analysis , and viral escape prediction using natural language analogies. Scientific Awards: Stanford Science Fellow (2021) National Defense Science and Engineering Graduate Fellowship (2019) Advising: He mentors doctoral students including Brandon Ameglio , Garyk Brixi , and Chang M. Yun , with a focus on biological design and computational methods . Labs & Collaborations: His lab collaborates with Bio-X and the Institute for Human-Centered Artificial Intelligence (HAI) , and he maintains affiliations with Sarafan ChEM-H and Stanford Data Science .
Nicholas Kortessis is an Assistant Professor in the Department of Biology at Wake Forest University, within The Undergraduate College. His research lies at the intersection of ecology, evolution, and theoretical modeling, focusing on how environmental variability shapes biological diversity. Research Interests: His primary areas include statistical and theoretical ecology, adaptation in variable environments, population and community dynamics, and ecosystem modeling. He uses mathematical frameworks to simulate ecological processes across large spatial and temporal scales, bridging experimental data with predictive theory. Publication Trends: His recent work spans topics such as habitat fragmentation, disease in invasive species, character displacement, seed dormancy evolution, and pandemic transmission dynamics. These reflect a strong emphasis on theoretical and synthetic approaches to ecological problems, often involving collaboration across institutions. Scientific Awards: No awards are mentioned in the provided text. Advising and Grants: While no specific students or grants are listed, Dr. Kortessis leads an active research lab and collaborates widely, indicating ongoing mentorship and likely grant-supported research. His lab engages in theoretical and data-driven ecological studies, suggesting funding from agencies supporting environmental and theoretical biology. Labs and Teams: He runs the Kortessis Lab at Wake Forest University, which focuses on modeling ecological and evolutionary processes. The lab emphasizes mathematical and conceptual tools to explore biodiversity, coexistence, and ecosystem responses to environmental change.
Dr. Michael Baym is an Associate Professor of Biomedical Informatics at Harvard Medical School with affiliate appointments in Microbiology and the Laboratory of Systems Pharmacology, and as an Associate Member of the Broad Institute. He leads the Baym Lab, which studies microbial evolutionary genomics and antibiotic resistance through a hybrid of experimental, computational, and theoretical approaches. His research focuses on: Antibiotic Resistance Evolution and practical interventions Mobile Genetic Elements (plasmids, phages, transposons) Computational Genomic Algorithms for big data analysis Synthetic Biology tools and technologies Key recent publications explore phage discovery systems , phylogenetic compression of microbial genomes, and RNA-guided gene drives in plasmids. His work is supported by multiple NIH/NIGMS and NSF grants including a MIRA award. Scientific honors include: Packard Fellowship (2018) Pew Biomedical Scholarship (2020) Sloan Research Fellowship (2020) A. Clifford Barger Excellence in Mentoring Award (2021) SSQBio Mentorship Award (2022) The lab actively trains PhD students and postdoctoral fellows with alumni occupying academic and industry positions globally. Current team members include researchers from interdisciplinary backgrounds working at the intersection of experiment, computation, and theory .
Hiroto Yoshihara is a Professor at Waseda University's Faculty of Letters, Arts and Sciences, School of Culture, Media and Society, specializing in Japanese intellectual history, Buddhist studies, and Sino-Japanese comparative literature. With a Master of Arts from Waseda University, he has conducted extensive research on ancient and medieval Japanese literature, religious history, and cultural exchange between Japan and China. Yoshihara's research interests focus on Japanese intellectual history, ancient and medieval history, Japanese and Chinese literature, Buddhist studies, and Shinto studies. His work particularly examines the intersection of religious thought and literary expression in premodern Japan, with special attention to figures like Prince Shotoku and Sugawara no Michizane (deified as Tenjin). His comparative approach reveals the complex cultural flows between Japan and continental Asia. His scholarly output shows a consistent focus on religious narratives, particularly Buddhist traditions, and their literary expressions. A significant portion of his recent work analyzes the reception and adaptation of Chinese literary and religious traditions in Japan, especially during the Heian period. His research demonstrates how Japanese intellectuals engaged with continental models while developing distinctive local traditions. Yoshihara received the Kubota Utsuho Award in 1987 for his contributions to Japanese literary studies. His research has been supported by numerous grants from the Japan Society for the Promotion of Science, including projects on East Asian cultural exchange and religious thought during Japan's regency and Insei periods. He has directed significant research projects, including the Institute for Japanese Religions and Cultural History at Waseda University (2021-2025). His international collaborations, particularly with Chinese academic institutions, reflect his commitment to cross-cultural scholarship and the global dimensions of Japanese religious and literary history.
Michael Stamm is Chairperson and Professor in the Department of History at Michigan State University, within the College of Social Science. His research focuses on media and journalism history, with specialties in cultural, political, and environmental history. He has authored influential books like Sound Business (2011) and Dead Tree Media (2018), which explore the material and economic dimensions of print media. His work bridges media studies with environmental history, examining global commodity chains and the geopolitical impact of newsprint production. Stamm’s research has been recognized with awards including the Canadian Business History Association’s Best Book Prize (2019) and the Richard E. Sullivan Teaching Excellence Award (2022). He leads courses on North American history, media, business, and environmental history. From 2017–2020, he directed MSU’s participation in the American Historical Association’s Career Diversity initiative, fostering innovative historian training. His recent projects expand into international media comparisons and digital-age publishing challenges. Stamm’s academic profile combines rigorous historical scholarship with interdisciplinary engagement, reflecting his dual role as a researcher and educator.
Nick Abel is an Honorary Associate Professor at the Fenner School of Environment & Society, Australian National University. With a distinguished international career spanning Africa and Australia, he has worked in Zimbabwe, Kenya, Ethiopia, Botswana, Somalia, Swaziland, Zambia, and Australia. His academic credentials include a Ph.D., M.Sc., and B.Sc.(Hons.), reflecting a strong foundation in environmental sciences and complex systems thinking. Abel's research program centers on the critical challenge of human adaptation to climate change, with particular focus on why adaptation efforts are insufficient to prevent environmental and social tipping points. He critically examines Australia's role as the world's third largest exporter of fossil fuels while facing escalating climate impacts, investigating how fossil fuel companies have maintained influence over public policy. His work integrates social-ecological systems theory, resilience thinking, and practical governance frameworks to address climate adaptation challenges. His publication record demonstrates a clear evolution from foundational work in rangeland management and complex adaptive systems toward urgent climate policy interventions. Early research established theoretical frameworks for understanding resilience in dryland ecosystems, while recent work focuses on transformation pathways, Indigenous engagement, and community-based adaptation strategies. A consistent thread throughout his career is the integration of diverse knowledge systems and the development of practical approaches for environmental governance in rapidly changing conditions. Abel has registered to supervise research students at ANU and participates in significant collaborative projects, including the current 'Partnering with local communities in regional Australia to increase resilience to flood events' (2022-2025). His high-impact publications, including the highly cited 'Resilience management in social-ecological systems' (1,120 Scopus citations) and 'From Metaphor to Measurement: Resilience of What to What?' (2,596 Scopus citations), demonstrate his foundational contributions to the field. Through his work with various research groups and projects, Abel has helped establish frameworks for understanding social-ecological systems and climate adaptation. His contributions to the Fenner School include advancing methodologies for integrating scientific and Indigenous knowledge systems, developing practical approaches to environmental governance, and critically examining the political economy of climate policy in Australia.
Stephan Schmidt is an Associate Professor at Cornell University's College of Architecture, Art and Planning, affiliated with the Department of City and Regional Planning. His research bridges urban spatial patterns, planning institutions, and sustainability outcomes across Europe, sub-Saharan Africa, and China. Education: PhD in Urban Planning from Rutgers University MS in Landscape Architecture from the University of Washington His work examines: land-use policy evolution in Europe; urbanization dynamics in African cities; and polycentricity trends in Chinese metropolises. Recent studies focus on climate risk mitigation through urban form, including urban heat island effects and air pollution in German regions. Key trends in his 2024-2022 publications: comparative analysis of polycentric urban systems; GIS-based spatial pattern evaluation; and institutional impacts on sustainable development. Awards include Cornell's Global Strategic Collaboration Award and German Academic Exchange Service grants. Scientific Awards: Cornell Global Strategic Collaboration Award (2024) Cornell Center for Social Sciences Accelerated Research Grant (2024) German Academic Exchange Service (2019) Advising includes mentoring graduate students like Juan Fernandez, Justin Peng, and Hassan Yakubu on projects analyzing urban morphology. His lab investigates intersections between spatial patterns and environmental outcomes, including climate change adaptation in Tanzanian cities and park fragmentation in German metropolises.
