جست‌وجوی استاد و پژوهشگر

Daniel A. Sassمشاهده پروفایل

دانشیار

• Psychometrics
• Structural Equation Modeling
• Factor Analysis
• +۳ مورد دیگر

Dr. Daniel A. Sass is an Associate Dean for Graduate Studies and Associate Professor in the Department of Management Science and Statistics at the University of Texas at San Antonio’s Carlos Alvarez College of Business. He directs the Statistical Consulting Center and focuses on methodological research, including psychometrics, structural equation modeling, and factor analysis. His applied work spans education, public health, and organizational behavior. Education: Ph.D. in Management Science and Statistics, University of Wisconsin-Milwaukee B.A., University of Wisconsin-Milwaukee Research Interests : Dr. Sass specializes in advanced statistical methodologies with applications in education and social sciences. His work emphasizes psychometric validation, measurement invariance, and applied collaborative projects. Key areas include teacher retention, classroom management, and cross-cultural scale adaptation. His research bridges theoretical statistical frameworks with real-world challenges in education and public policy. Publications Trends : Recent work explores pandemic impacts on productivity, educator stress in charter schools, and diabetes management programs. Earlier studies focus on statistical methods like factor analysis and structural equation modeling validation. His articles consistently address practical implications for policy and practice. Advising/Grants : While no advisees are listed, his collaborative projects involve interdisciplinary teams across education, public health, and organizational studies. His Statistical Consulting Center supports UTSA researchers in applying rigorous statistical methods to their work. Labs/Teams : Director of the Statistical Consulting Center, providing methodological support for academic and applied research projects.

Dulce Wilkinson Westbergمشاهده پروفایل

استادیار

• Personality Psychology
• Identity
• Life Narratives
• +۷ مورد دیگر

Dulce Wilkinson Westberg is an Assistant Professor in the Department of Psychology at the University of California, Davis. Her research lies at the intersection of personality, identity, and social structures, with a focus on racially and ethnically diverse populations. She employs both qualitative and quantitative methodologies to explore how systems of power and oppression influence life narratives and psychosocial adjustment. PhD in Social and Personality Psychology, University of California, Riverside (2022) BS in Psychology, University of California, Riverside (2017) Dr. Westberg's research centers on life narratives as internal constructions of identity, examining how race, ethnicity, gender, and social class shape personal meaning-making. She investigates how marginalized individuals navigate structural barriers and how such experiences influence personality development. Her work emphasizes intersectionality and the cultural contexts of identity formation. Her recent publications (2020–2024) reflect a strong focus on narrative identity, ethnic-racial life scripts, identity shifting, and the integration of intersectionality into personality psychology. These works span journals in personality, developmental, and social psychology, highlighting interdisciplinary engagement and methodological diversity. Association for Research in Personality (ARP) – Programming Committee Member (2023) Association for Research in Personality (ARP) – Diversity and Inclusion Committee Member (2020–present) Society for Personality and Social Psychology (SPSP) – Member International Society for Research on Identity (ISRI) – Member Society for Research on Child Development (SRCD) – Member Society for the Study of Emerging Adulthood (SSEA) – Member Dr. Westberg is actively mentoring and building her research program. She is recruiting undergraduate students for qualitative data analysis and accepting applications from prospective graduate students for the 2024–2025 cycle. While no specific grants are mentioned, her active publication record and lab recruitment suggest ongoing research funding and academic momentum. She leads a research lab focused on narrative and identity processes in diverse young adults.

• Artificial Intelligence
• Healthcare Informatics
• Data Science
• +۵ مورد دیگر

Luís B. Elvas is an Assistant Professor at ISCTE-University Institute of Lisbon's Department of Social and Business Sciences (SINTRA) and a Research Assistant at ISTAR-Iscte Research Center. He holds qualifications including a Technical Specialization in TensorFlow for AI (Coursera, 2021) and certifications in IoT/Blockchain from ISCTE and cybersecurity from Palo Alto Networks. His research spans artificial intelligence, healthcare informatics, smart cities, and blockchain, with applied work in medical imaging, data sharing, and urban analytics. Research interests include: Healthcare AI : Developing deep learning models for cardiac diagnostics, medical imaging analysis, and blockchain-based health data systems Smart Cities : Implementing IoT solutions for urban mobility optimization, disaster management, and sustainable transportation Data Science : Creating predictive analytics frameworks for clinical decision support and urban planning His publications demonstrate a strong focus on AI-driven healthcare solutions (67% of recent works) and smart city technologies (33%), with emerging interests in blockchain and NLP. Research consistently targets real-world applications in clinical settings and urban environments. Awards: Award for best internship, Order of Engineers (2022) Distinction for best internship, Order of Engineers (2021) He leads/contributes to multiple EU research consortia including AMR-EDUCare (antimicrobial resistance education), NEEM (e-health in Nepal), and Blockchain.PT. Coordinates the IEEE Computational Intelligence Society Student Branch Chapter at ISCTE and developed the ManagiDiTH master's program in digital health transformation.

Lynda Grattonمشاهده پروفایل

استاد

• Corporate culture
• Human resource management strategy
• Organisational change
• +۳ مورد دیگر

Lynda Gratton is a Professor of Management Practice in Organisational Behaviour at London Business School. She directs the globally renowned program 'Human Resource Strategy in Transforming Companies' and teaches a highly popular elective on the Future of Work, for which she received the 'Excellence in Teaching' award in 2016. She has led the Future of Work Consortium for over a decade, facilitating collaboration among executives from 60+ companies via a bespoke platform. Her research explores the intersection of people and organizations, with key interests in: Corporate culture and organizational learning Strategic management and HR strategy Organisational change dynamics Future of work innovation and hybrid models Longevity's societal impacts Her recent publications demonstrate a consistent focus on workplace evolution, particularly analyzing hybrid work models, AI's human implications, and leadership during disruption. Articles frequently address resilience, technological adaptation, and redefining organizational structures for an uncertain future. Awards & Honors: Thinkers 50 Top 15 Global Thinker Warren Bennis Best Article (2022) CMI Management Book of the Year (2015) FT Business Book shortlist (2017) Tata Prize (India), NAHR Fellowship (US), HR Prize (Australia) She advises global institutions including the World Economic Forum (where she co-chaired the Council on Work, Wages and Job Creation) and served on Japanese Prime Minister Abe's advisory board. She currently contributes to MIT Sloan Management Review and The Times of London. Through the Future of Work Consortium, she leads a major initiative connecting executives worldwide to address workforce transformation challenges, emphasizing collaborative innovation.

Kristen Pleilمشاهده پروفایل

دانشیار

• Neuroscience
• Pharmacology
• Neuropharmacology
• +۴ مورد دیگر

Kristen Pleil is an Associate Professor at Weill Cornell Medicine in the Graduate School of Medical Sciences, affiliated with the Department of Pharmacology and Neuroscience. She serves as Co-director of the NIGMS-sponsored Training in Pharmacological Sciences (TIPS) predoctoral T32 program. Academic Appointments: Assistant Professor (2016), Associate Professor (2021) Education: BA in Psychology (Emory University, 2005), PhD in Neuroscience (Duke University, 2010), Postdoc at University of North Carolina School of Medicine Research Focus: The Pleil lab investigates how sex and stress hormones regulate alcohol/substance use, stress responsivity, and affective behavior through neuropeptidergic brain circuits and hormone-neuropeptide signaling. Key projects include estrogen's role in alcohol drinking and anxiety, opioid receptor signaling in reward/aversion learning, and sex-dependent thalamic control of stress responses. The lab uses in vivo and ex vivo mouse models to study synaptic/epigenetic plasticity across developmental stages. Publications Trends: Her work spans molecular pharmacology, neurophysiology, and addiction research with a focus on sex differences in neuropsychiatric diseases. Articles cover topics like estrogen signaling in binge drinking, opioid-context memory, thalamic circuits in stress response, and optogenetic tools for receptor imaging. Scientific Awards: President’s Young Investigator Award, ISBRA (2013) Elizabeth Young New Investigator Award, OSSD (2015) K99/R00 Pathway to Independence Award, NIAAA (2015) Kellen Foundation Junior Faculty Fellowship (2016) NARSAD Young Investigator Award (2017) Early Career Investigator Award, NIDA-NIAAA (2017) Training and Collaborations: As Co-director of the TIPS T32 program, she mentors graduate students in pharmacological sciences. Her collaborations include researchers at UNC, Duke, and Weill Cornell, with grants from NIAAA, NIMH, and NIGMS.

Brad Nakamuraمشاهده پروفایل

استاد

• Evidence-Based Practice Implementation
• Youth Mental Health Services
• Developmental Psychopathology
• +۳ مورد دیگر

Dr. Brad Nakamura is Professor and Director of the Center for Cognitive Behavioral Therapy (C-CCBT) at the University of Hawai‘i at Mānoa. With over 15 years of continuous service to the university, he focuses on improving youth mental health through integration of scientific research with community practice. His career demonstrates strong commitment to Hawai‘i's youth mental health systems. PhD in Clinical Psychology (2007) MA in Psychology (2004) BA in Psychology (2000) His research program addresses two key areas: 1) dissemination and implementation of evidence-based practices (EBPs) in youth mental health services, and 2) developmental psychopathology of anxiety disorders in children and adolescents. Recent publications focus on strength-based assessment tools like SEEDS, Ohio Scales validation, and implementation strategies for EBPs in public mental health systems. Current research trends show particular attention to: Telehealth adaptation and telepresence optimization Measurement feedback systems in schools Implementation context analysis Strengths-based assessment development Community-academic partnerships Cultural adaptation of mental health tools Dr. Nakamura actively advises trainees and leads multiple funded initiatives including: $582,550 (2024-2025) Hawaii Department of Education contract $1,757,063 (2024-2025) Department of Health grant Long-running Faculty Travel Fund recipient He serves as principal investigator for statewide mental health assessment and training programs, and co-investigator for psychological assessment training initiatives. His lab collaborates with the Center for Cognitive Behavior Therapy to develop practice element frameworks and implementation ontologies that standardize youth mental health care delivery across Hawaii.

Jorge E. Viñualesمشاهده پروفایل

استاد

• International Environmental Law
• Energy Law
• Investment Law
• +۴ مورد دیگر

Professor Jorge E. Viñuales is the Harold Samuel Chair of Law and Environmental Policy at the University of Cambridge. He founded the Cambridge Centre for Environment, Energy and Natural Resource Governance (C-EENRG) and holds affiliations with the University of Cambridge Conservation Research Institute . His academic roles include directing PhD programs, three MPhil programs, and serving as head of research. His research focuses on international environmental law , energy law , and investment law . Recent work explores climate policy , energy transition economics , and resource governance through complex systems modeling. His interdisciplinary research with C-EENRG colleagues has been published in Nature Climate Change , Global Environmental Change , and Climate Policy . Notable scientific recognition includes the Choice Outstanding Academic Title 2021 for his co-edited volume on the UN Friendly Relations Declaration. He serves as Chairman of the Compliance Committee of the UN-ECE/WHO-Europe Protocol on Water and Health, and as co-General Editor of the ICSID Reports (CUP) and Cambridge Studies on Environment, Energy and Natural Resources Governance (CUP).

Estela Suarezمشاهده پروفایل

استاد

• high performance computing (HPC)
• heterogeneous HPC system architectures
• modular supercomputing architecture (MSA)
• +۴ مورد دیگر

Prof. Dr. Estela Suarez is a Professor of High Performance Computing at the Institute for Computer Science, University of Bonn (W2 in the Jülich Model) and Joint Lead of the Division "Novel System Architecture Design" at the Jülich Supercomputing Centre (JSC), Forschungszentrum Jülich GmbH. She also leads the Research Group "Next Generation Architectures and Prototypes" at JSC and serves as Spokesperson of Helmholtz Information Program 1, Topic 2. Currently on sabbatical during the 2024/2025 and 2025 academic years, she remains active in research leadership roles. 2010: PhD in Physics from University of Geneva, Switzerland 2004: Master in Physics, Specialization in Astrophysics, University Complutense of Madrid, Spain Professor Suarez specializes in high performance computing with particular expertise in heterogeneous HPC system architectures and modular supercomputing architecture (MSA). Her research spans hardware prototyping and evaluation, system software development, operational data analysis, and co-design methodologies. She has pioneered approaches to address hardware heterogeneity through system-wide orchestration of diverse computing resources, enabling more efficient scientific computing across multiple domains. Her work bridges theoretical computer architecture with practical implementation challenges in exascale computing environments, focusing on real-world applications that require specialized hardware configurations. Professor Suarez's publication record shows a clear evolution from foundational work on the DEEP project (2016) through the development of modular supercomputing concepts (2019-2021) to current applications across diverse scientific domains (2022-2024). Her recent publications demonstrate how modular architectures can be effectively applied to climate modeling, neuroscience simulations, quantum chemistry calculations, and other computationally intensive fields. This trend highlights her focus on practical implementation challenges and the growing importance of adaptable computing architectures in modern scientific research. 2023/2024 Lehrpreis der Universität Bonn: UniBonn teaching award Professor Suarez has secured significant research funding through major projects including NUMERIQS (Projects A05, B02, and Z02), European Processor Initiative (EPI), DEEP-SEA (Software for Exascale Architectures), IFCES2 (optimization of simulation algorithms for exascale supercomputers), and AIDAS (virtual laboratory between Forschungszentrum Jülich and CEA on AI and data analytics). While currently not accepting new students due to sabbatical, she has previously mentored graduate students in high performance computing techniques and has delivered numerous invited lectures at international conferences. Professor Suarez leads the "Next Generation Architectures and Prototypes" research group at JSC and serves as Joint Lead of the "Novel System Architecture Design" division. She chairs the Research and Innovation Advisory Group (RIAG) from EuroHPC Joint Undertaking since 2024. Her work involves close collaboration with international research teams on advancing supercomputing architectures, including contributions to the University of Bonn's new HPC system "Marvin" which ranks on both the TOP500 and GREEN500 lists.

Jeff Zhangمشاهده پروفایل

استادیار

• Deep learning
• Computer architecture
• Embedded systems
• +۵ مورد دیگر

Jeff Zhang is an Assistant Professor in the School of Electrical, Computer and Energy Engineering at Arizona State University. He joined ASU in January 2023 after completing a postdoctoral fellowship at Harvard University. His research spans deep learning, computer architecture, embedded systems, and EDA, with particular emphasis on energy-efficient and fault-tolerant design for AI/ML systems and hardware accelerators. Education: Ph.D., New York University M.Eng., B.Eng., Hunan University Dr. Zhang's research bridges theoretical machine learning with practical hardware implementation, developing novel architectures that optimize performance, power consumption, and reliability. He has pioneered approaches for hardware acceleration of large language models, efficient sparse matrix operations, and novel memory technologies for AI workloads. His work has received multiple awards including IEEE Top Picks in Test and Reliability (2023) and IEEE Micro Best Paper Award (2022). His recent publications demonstrate a strong trend toward heterogeneous computing, with significant work in chiplet-based AI accelerators, photonic computing for AI, and 2.5D/3D integration techniques. The research spans from high-level compiler frameworks to circuit-level innovations, with a consistent theme of co-designing algorithms and hardware for optimal AI performance. His work on the SODA toolchain has been particularly influential in bridging Python to silicon. Scientific Awards: IEEE Top Picks in Test and Reliability, IEEE ITC, 2023 Best Paper Award, IEEE Micro, 2022 Best Paper Award Candidate, IEEE DATE, 2022 Best Presentation Award Nomination, ACM SIGDA DATE PhD Forum, 2020 Best Paper Award Nomination, IEEE VLSI Test Symposium, 2018 Ernst Weber Ph.D. Fellowship, New York University, 2015, 2016 Dr. Zhang actively mentors a diverse group of graduate and undergraduate students, with several alumni now working at leading technology companies including Apple, TSMC, and Ansys. His research is supported by prestigious grants from NSF, Sandia National Labs, and industry partners. He serves on technical program committees of numerous top conferences and has organized special sessions on emerging topics like Gen AI for Chip Design and LLM-Aided Design. Dr. Zhang leads a vibrant research group that collaborates extensively with industry partners and national laboratories. Current projects focus on next-generation AI hardware, including chiplet-based systems, photonic accelerators, and novel memory technologies for large language models. His group has developed several open-source tools and frameworks, including the SODA toolchain for bridging Python to silicon.

Elad Hazanمشاهده پروفایل

استاد

• Machine Learning
• Mathematical Optimization
• Control Theory
• +۴ مورد دیگر

Elad Hazan is a Professor of Computer Science at Princeton University and co-founder/director of Google AI Princeton. His research focuses on algorithmic foundations of machine learning and optimization, with significant contributions to online learning, nonstochastic control, and adaptive gradient methods. Princeton University (Faculty) Google AI Princeton (Co-founder & Director) His work bridges mathematical optimization, control theory, and computational complexity. Key contributions include the AdaGrad algorithm, sublinear-time optimization methods, and spectral filtering techniques for sequence modeling. Recent research emphasizes efficient neural architectures and provable guarantees in online control. Scientific awards include the Bell Labs Prize, IBM Goldberg Best Paper Award (twice), Google Research Award (twice), European Research Council grant, Marie Curie fellowship, and ACM Fellowship. He has served as program chair for COLT 2015 and on the Association for Computational Learning steering committee. His publications highlight trends in online convex optimization, spectral methods for dynamical systems, and adaptive gradient algorithms. Collaborations span Princeton, Google Brain Research, and interdisciplinary projects in robotics and AI safety.

• Zoology
• Marine Biology
• Benthic Ecology
• +۶ مورد دیگر

Francisco Jose Garcia Garcia is a Professor at the Universidad Pablo de Olavide, affiliated with the Department of Physical, Chemical and Natural Systems. His research focuses on Zoology, Marine Biology, and Benthic Ecology, with a specialization in Mollusks (particularly Opisthobranchia) and Antarctic Biodiversity. He leads the ORGSIS Organisms and Systems research group and contributes to the Doctoral Programs in Biodiversity and Conservation Biology. PhD in Zoology (1987) from the University of Seville His research spans marine taxonomy, ecological impacts of human activity, and biogeographical patterns of mollusks and arthropods in coastal environments. Recent studies examine invasive species effects (e.g., Amathia verticillata) and wrack dynamics in Atlantic and Mediterranean ecosystems. His publications from 1984–2024 reflect long-term contributions to Antarctic benthos studies (BENTART projects) and nudibranch systematics. Articles highlight expertise in Invasive Species Ecology, Benthic Ecology, and Environmental Impact Assessment, with a focus on mollusk physiology, taxonomy, and habitat interactions. Notable collaborations include Antarctic research campaigns and cross-regional studies comparing Brazil and Spain. As part of the ORGSIS group, he investigates coastal ecosystem functioning, emphasizing sandy beach macrofauna and supralittoral arthropods. His work integrates field experiments (e.g., wrack removal, trampling effects) and laboratory assays on reproductive biology.

• Transnational Film Studies
• East Asian Cinema
• Film Festivals
• +۵ مورد دیگر

Dr Nikki Ji-Yeon Lee is a Senior Lecturer in Asian Media at Nottingham Trent University's Department of Humanities, School of Social Sciences. With prior academic appointments at Yonsei University and Korea National University of Arts in Seoul, her career bridges UK and Korean academic spheres. She co-founded the London Korean Film Festival in 2001 and maintains active industry connections as a former independent documentary filmmaker and film event interpreter. Her educational background includes: BA and MA in Sociology from Yonsei University, Seoul MA in TV Documentary from Goldsmiths College, University of London PhD in Cultural Studies from Goldsmiths College, University of London Lee's research specializes in transnational East Asian cinema with emphases on Korean and Chinese film industries, film festival circuits, and cinematic soundscapes. Her work critically examines globalization's impact on film production, auteur branding, audience reception, and co-production models, particularly investigating how cultural specificity navigates global markets. Current projects explore Korean film sound design, China-Korea media collaborations, and East Asian television drama formats. Analysis of her 2018-2025 publications reveals evolving research trajectories: early work focused on film festival politics and auteur studies (e.g., Park Chan-wook), while recent scholarship increasingly engages with sound studies and occult genres in Korean cinema. Her output consistently bridges industrial analysis with cultural criticism, demonstrating expertise in both Korean cinematic traditions and transnational media flows. Lee has significantly contributed to academic discourse through editorial projects including co-editing The Korean Cinema Book (BFI/Palgrave Macmillan) and Japanese Cinema (Routledge). Her publications in Cinema Journal and Screen establish her as a key voice in East Asian film studies, with Korea Film Council (KOFIC) recognizing her expertise through commissioned research on UK distribution patterns.

• high resolution MRI
• visual perception
• functional imaging
• +۶ مورد دیگر

Reza Farivar-Mohseni is an Associate Professor at McGill University , affiliated with the Faculty of Medicine and Health Sciences and the Department of Ophthalmology and Visual Sciences . He serves as a Scientist at the RI-MUHC (Montreal General Hospital site), contributing to the Brain Repair and Integrative Neuroscience (BRaIN) Program and the Centre for Translational Biology . Research Interests: Dr. Farivar-Mohseni’s work focuses on cortico-cortical communication, information processing in the brain, and disruptions in neurological disorders like traumatic brain injury. He specializes in advancing non-invasive brain imaging (MRI) for both fundamental and clinical applications, particularly improving concussion detection and diagnosis. Publications: His research spans high-resolution MRI, visual perception, and functional imaging. Key themes include depth-cue invariance in object recognition, gamma-band neural representations, and cortical deficits in amblyopia. Recent studies (2025–2022) address computational neuroscience, vision screening tools, and neural imaging techniques. Labs & Collaborations: He collaborates with the MGH-MRI Research Platform and works within the Centre for Translational Biology , focusing on translating imaging advancements into clinical tools.

Florian Brandlمشاهده پروفایل

دانشیار

• Microeconomics
• Social Choice Theory
• Decision Theory
• +۴ مورد دیگر

Florian Brandl is an Argelander Professor (associate professor with tenure) at the University of Bonn, holding positions in both the Department of Economics and the Hausdorff Center for Mathematics. Previously, he was a postdoctoral research scholar at Princeton University and Stanford University. His academic career demonstrates a strong foundation in mathematical economics and game theory, with affiliations spanning multiple prestigious institutions. Brandl earned his Doctoral degree in Mathematics (summa cum laude) from the Technical University of Munich in 2018, following a Master's degree (2013) and Bachelor's degree (2011) from the same institution. His doctoral work focused on "Zero-Sum Games in Social Choice and Game Theory" under the supervision of Felix Brandt, establishing the foundation for his research trajectory. Prof. Brandl's research spans microeconomic theory with a focus on social choice theory, decision theory, and game theory. He is particularly interested in decision-making under uncertainty, connections between social choice and game theory, and dynamic processes converging to equilibrium. His work employs mathematical tools to analyze interactions of multiple entities in economic contexts, often incorporating algorithmic approaches and methods from theoretical computer science. He has made significant contributions to fair division, mechanism design, and probabilistic social choice. His publication record shows consistent contributions across multiple subfields, with recent work focusing on patience effects in fair division, social learning barriers, and axiomatic characterizations of equilibrium concepts. Brandl's research demonstrates strong interdisciplinary connections between economics, mathematics, and computer science, with publications in top journals across all three disciplines. Best Student Paper Award at WINE 2021 for "Funding Public Projects: A Case for the Nash Product Rule" Associate Editor for Theoretical Economics Co-organizer of the COMSOC Video Seminar Prof. Brandl actively contributes to academic service and community building. He co-organizes the COMSOC Video Seminar and will host a Trimester Program on "Advances in Mechanism Design" in Bonn in summer 2026. He serves on program committees for major conferences including COMSOC 2023 and EC 2023. His research has been supported through his position as a Bonn Junior Fellow at the Hausdorff Center for Mathematics since 2021. Based at the Institute for Microeconomics and affiliated with the Hausdorff Center for Mathematics, Brandl collaborates with a broad network of researchers across economics and computer science. His work often involves interdisciplinary collaboration, as evidenced by his numerous co-authored publications with researchers from various institutions worldwide. He maintains strong connections with the University of Oxford's Global Priorities Institute as a Research Affiliate.

Robert P. Andersonمشاهده پروفایل

استاد

• Biogeography
• Species Distribution Modeling
• Biodiversity Conservation
• +۵ مورد دیگر

Robert P. Anderson is a Professor of Biology in the Division of Science at City College of New York (CCNY), part of the City University of New York (CUNY) system. His research laboratory is located in Marshak Science Building (Room 810), with additional affiliation as a Research Associate at the American Museum of Natural History (AMNH) Mammalogy Department. As a Highly Cited Researcher (2019-2023) and AAAS Fellow (2023), he leads an interdisciplinary biogeography research program focused on modeling species niches and distributions. Dr. Anderson's research spans biodiversity modeling, biogeography, and ecology with specialization in mammals. His lab develops ecological modeling software widely applied in conservation biology, invasive species management, zoonotic disease studies, and climate change impact assessments. Key research themes include: Characterizing spatial configuration of environmental suitability for species Developing machine learning approaches (particularly Maxent) for species distribution modeling Studying climate change effects on biodiversity Conservation applications of biogeographic models Neotropical mammal systematics and ecology His work has resulted in significant software contributions including Wallace, ENMeval, and spThin, with recent publications emphasizing methodological improvements in species distribution modeling and conservation applications. The lab maintains active projects funded by NASA and the National Science Foundation, focusing on small mammals of North and South America. Scientific recognition includes: AAAS Fellow (2023) Web of Science Highly Cited Researcher (2019-2023) Blavatnik Science Scholar (New York Academy of Sciences) Most Downloaded Paper in Ecography (2023-2024) Most Cited Paper in Ecography (2023) Dr. Anderson mentors graduate students through the CUNY Graduate Center and CCNY Master's programs, with recent advisees receiving prestigious awards including the ASM Horner Award and NASA FINESST Fellowship. His lab trains students in environmental biology through interdisciplinary research combining fieldwork, morphology, climatology, remote sensing, physiology, and genetics. Current lab members include Andrew Gaier (NASA Fellow), Mariano Soley-Guardia, and Kass (lead author on highly cited Wallace v2 paper). The Anderson Lab operates from CCNY's Marshak Science Building as part of the university's biodiversity group studying ecology, evolution, and geography of life on Earth. The lab emphasizes software co-design between end-users and developers to enhance conservation utility, with recent work focusing on neighborhood approaches for range estimation and operationalizing expert knowledge in species assessments.