Find Academic Supervisors

• Infectious Disease Epidemiology
• Vector Borne Diseases
• Malaria Research
• +6 more

Dr. Caroline Buckee is a Professor of Epidemiology at the Harvard T.H. Chan School of Public Health, where she joined as an Assistant Professor in summer 2010 and was promoted to Professor in 2021. She served as Associate Director of the Center for Communicable Disease Dynamics from 2013-2023. Dr. Buckee co-founded and co-directs Crisis Ready (crisisready.io), a joint platform between Harvard's Data Science Initiative and Direct Relief that supports data-driven responses to public health emergencies. She also co-leads the South Asia Climate and Health Research Cluster supported by Harvard's Salata Institute for Climate and Sustainability. Dr. Buckee's research spans infectious disease epidemiology and ecology with a focus on vector-borne diseases including malaria and dengue. Her work examines human mobility and the impact of labor migration on epidemic spread, as well as the intersection of climate risks and human health. Her research group actively supports National Malaria Control Programs in the global south to improve surveillance and analytical approaches. Specific projects include studying the impact of gold-mining on malaria transmission in the Amazon region and investigating how extreme heat affects poor working women in India, with the goal of developing community-led interventions. Dr. Buckee's recent publications demonstrate a strong focus on integrating genomic data with epidemiological modeling, particularly for malaria parasites. Her work addresses critical gaps in understanding spatial disease dynamics, the impact of human mobility on outbreaks, and the development of privacy-preserving methods for using mobile phone data in public health. She has made significant contributions to understanding how environmental factors, including climate change and resource extraction, influence disease transmission patterns. Dr. Buckee has received NIH funding including the R35GM124715 grant for "New approaches to measuring and containing the spatial spread of human pathogens" and R21GM100207 for "An alignment free network approach to analyzing highly recombinant malaria parasites." Her research has been widely cited and has influenced public health responses to infectious disease outbreaks globally. Through Crisis Ready, Dr. Buckee's team works at the intersection of data science and public health emergency response, developing tools and approaches to improve real-time decision-making during crises. Her group maintains strong international collaborations, particularly with researchers and public health officials in malaria-endemic regions of South America and South Asia.

George ChurchView profile

Professor

• Genomics
• Synthetic Biology
• Genome Engineering
• +12 more

George M. Church is a Professor of Genetics at Harvard Medical School and affiliated with MIT, where he directs PersonalGenomes.org, providing open-access genomic, environmental and trait data. His laboratory focuses on transformative technologies for reading and writing 3D/4D biological structures with attention to ethics, safety, and equitable access. Church has co-initiated major scientific initiatives including the BRAIN Initiative (2011) and multiple Genome Projects (GP-Read-1984, GP-Write-2016, PGP-2005). Church's research spans multiple cutting-edge domains including genome engineering, synthetic biology, aging reversal, and space genetics. His lab pioneered foundational methods for direct genome sequencing, molecular multiplexing and barcoding in 1984, leading to the first genome sequence in 1994. His innovations contributed to nearly all next-generation DNA sequencing methods and companies. Current research directions include machine learning for protein engineering, tissue reprogramming, organoids, gene therapy, and in situ 3D DNA/RNA/protein imaging. His work bridges fundamental biology with therapeutic applications across diverse fields from Alzheimer's disease to de-extinction biology. Church's recent publications reveal a remarkable breadth of scientific inquiry, spanning from fundamental genome editing techniques to applications in aging research, neuroscience, and space biology. His work increasingly integrates artificial intelligence with biological systems, as seen in papers on machine-guided cell-fate engineering and automation of systematic reviews with large language models. His research maintains a strong translational focus, with numerous papers addressing therapeutic applications in cancer immunotherapy, gene therapy, and diagnostics. The consistent theme across his diverse publications is the development and application of transformative technologies to address fundamental biological questions and medical challenges. National Academy of Sciences (NAS) membership National Academy of Engineering (NAE) membership Franklin Bower Laureate for Achievement in Science Co-initiator of the BRAIN Initiative (2011) Director of multiple NIH Centers for Excellence in Genomic Science (2004-2020) Church directs numerous research centers including the NIH-CEGS, Personal Genome Project (PGP), Lipper Center for Computational Genetics, and Wyss Institute Synthetic Biology center. His laboratory has trained PhD students across multiple Harvard and MIT programs including Biophysics, BBS, Biomedical Informatics, ChemBio, Chemistry, SSQB, MCO, Virology, HST, EE/CS, Physics and Applied Math. His commercial impact is extensive through companies spanning medical diagnostics (Knome/PierianDx, Alacris, Nebula, Veritas) and synthetic biology/therapeutics (AbVitro/Juno, Gen9/enEvolv/Zymergen/Warpdrive/Gingko, Editas, Egenesis). Church also pioneered new privacy, biosafety, ELSI, environmental and biosecurity policies. The Church Lab operates across multiple research domains including molecular multiplexing, next-generation sequencing, nanopore technology, and genome engineering. The lab maintains strong connections with the Personal Genome Project, Wyss Institute, and multiple commercial ventures. Current research directions include the Spatial Atlas of Human Anatomy (SAHA), human skin rejuvenation via mRNA, and space genetics research through the Consortium for Space Genetics and BioAstra. The lab's mission focuses on transformative technologies for reading and writing 3D/4D structures at any scale, inspired by but not limited by biology.

Jochen HoffmannView profile

Professor

• Civil Law
• Consumer Protection Law
• Commercial and Corporate Law
• +5 more

Prof. Dr. Jochen Hoffmann is a Professor of Private Commercial Law at Friedrich-Alexander University Erlangen-Nuremberg , with a research focus on civil law, consumer protection law, commercial and corporate law, banking and insurance law, antitrust law, and European/international commercial law. He has held academic positions at the University of Leipzig and the University of Hamburg before joining FAU in 2009. Studied Law and Economics at University of Bayreuth Doctorate in Law (1998) from University of Bayreuth Habilitation in Law (2005) with Bavarian Habilitation Award His research examines legal frameworks in digital markets, consumer finance, and cross-border trade, with recent publications addressing antitrust regulation, AI applications, and EU directives. He contributes to interdisciplinary projects like FAU WiSo’s Insurance and Risk focus area and collaborates with industry partners. Hoffmann has received significant recognition, including the Bavarian Habilitation Award (2001), and maintains active affiliations with FAU’s Department of Private Commercial Law. Notable awards: Bavarian Habilitation Award (2001) Teaching and Leadership: Held Chair of Private Commercial Law at FAU since 2009 Contributor to FAU WiSo’s interdisciplinary research clusters

Arnoldo FrigessiView profile

Professor

• Statistics
• Biostatistics
• Machine Learning
• +5 more

Arnoldo Frigessi is Professor of Statistics at the University of Oslo, where he leads the Oslo Center for Biostatistics and Epidemiology and serves as director of BigInsight—a Centre of Excellence for Research-Based Innovation. This consortium unites industry, business, public actors, and academia to develop model-based machine learning methodologies for big data, with strong emphasis on health applications. His research centers on statistical methodology driven by real-world scientific challenges, specializing in stochastic models for complex dependence structures and computationally intensive inference algorithms. Core application domains include: Genomics and personalized cancer therapy (particularly breast and lung cancer) Infectious disease modeling (including pandemic response) eHealth, sensor data analysis, and recommender systems Personalized marketing and viral diffusion dynamics Analysis of his 15 most recent publications (2024-2025) reveals dominant themes in cancer systems biology , where he integrates multi-omics, single-cell transcriptomics, and computational modeling to decode tumor evolution under therapy. Parallel work advances infectious disease epidemiology through time-varying reproduction number estimation and mobility-based transmission modeling, while methodological innovations span synthetic data generation (TVineSynth), causal inference via target trial emulation, and Bayesian ranking models for recommender systems. Scientific Awards: No specific awards mentioned in source materials Frigessi actively supervises graduate students, including a Department of Informatics project on "Utilizing covariate information in recommender systems." His leadership of BigInsight—funded as a Research-Based Innovation Centre by the Research Council of Norway—secures major grants supporting interdisciplinary collaborations with industrial partners (e.g., Telenor, DNB) and public health institutions. Current projects integrate real-world clinical data with mechanistic models for treatment optimization. He directs BigInsight's multidisciplinary team of statisticians, computer scientists, and domain experts, while leading the Oslo Center for Biostatistics and Epidemiology's efforts in developing statistical frameworks for complex health data. These initiatives drive Norway's national strategy for data-driven health innovation.

Nick CheneyView profile

Associate Professor

• Artificial Intelligence
• Robotics
• Machine Learning
• +7 more

Nick Cheney is an Associate Professor in the Department of Computer Science at the University of Vermont, leading the UVM Neurobotics Lab. He also serves as Graduate Program Director and is affiliated with the Vermont Complex Systems Center, an interdisciplinary hub for data-rich complex systems research. PhD in Computational Biology and Biological Statistics from Cornell University Advised by Hod Lipson and Steve Strogatz His research focuses on bio-inspired machine learning algorithms, particularly in evolutionary computation, deep learning, and reinforcement learning. Key applications span robotics, healthcare diagnostics, and environmental science. The lab's interdisciplinary work has been recognized with prestigious awards including the NSF CAREER Award and SIGEVO Impact Award . Recent publications highlight advancements in morphological computation, continual learning, and cross-domain applications of machine learning. His team develops algorithms for soft robots, medical diagnostics using wearable sensors, and sustainable agriculture systems, often publishing in venues like the Nature Scientific Reports , GECCO , and Soft Robotics . Scientific Awards : NSF CAREER Award SIGEVO Impact Award The lab actively mentors graduate students in Complex Systems and Data Science, with alumni securing positions at institutions like Harvard, UC Berkeley, and Medidata. Collaborative grants with biomedical and environmental researchers demonstrate the lab's commitment to societal impact through machine learning applications.

Jian PengView profile

Associate Professor

• Computational Biology
• Machine Learning
• Deep Learning
• +7 more

Jian Peng is an Associate Professor and Willett Faculty Fellow at the University of Illinois at Urbana-Champaign with primary appointment in the Department of Computer Science and courtesy appointments in the College of Medicine. He holds affiliate positions at the Institute of Genomic Biology, Cancer Center at Illinois, and National Center for Supercomputing Applications. His research integrates computational biology and machine learning, focusing on functional genomics, cancer genomics, neurodegenerative diseases, deep learning architectures, and reinforcement learning applications in biological domains. His work bridges algorithmic development with real-world biomedical challenges. Analysis of recent publications (2020-2021) reveals strong emphasis on machine learning applications in drug design, protein engineering, and computational biology. Key technical themes include generative modeling for molecular structures, reinforcement learning advancements, causal inference frameworks, and novel computer vision approaches. The work demonstrates consistent interdisciplinary innovation across computational and biological domains. Major Scientific Awards: Donald Biggar Willett Faculty Fellow (2020) Overton Prize - ISCB (2020) Dean's Award for Excellence in Research (2020) C.W. Gear Junior Faculty Award (2019) NSF CAREER Award (2017-2022) Sloan Research Fellowship (2016) He leads significant research initiatives including co-directing the NSF AI Institute's Molecular Maker Lab and an ASAP collaborative grant for Parkinson's disease research. His students have secured faculty positions at leading institutions including Georgia Tech and University of Washington.

Elizabeth BrainerdView profile

Professor

• Biomechanics
• Evolutionary Morphology
• Vertebrate Anatomy
• +7 more

Elizabeth Brainerd is the Robert P. Brown Professor of Biology and Professor of Medical Science in the Department of Ecology and Evolutionary Biology at Brown University. She has been a leading figure in vertebrate biomechanics and evolutionary morphology since joining Brown in 2005, where she directs the Keck XROMM Core Facility. Previously, she served as Assistant Professor (1994-1999) and Associate Professor (2000-2005) at the University of Massachusetts Amherst. Her research focuses on biomechanics and evolutionary morphology, combining anatomical studies with engineering principles to understand animal movement. Brainerd is a pioneer of X-ray Reconstruction of Moving Morphology (XROMM) technology, which enables 3D visualization of skeletal movement in living animals. Her work spans diverse vertebrate groups including fish, amphibians, reptiles, birds, and mammals, with applications to feeding, breathing, and locomotion mechanics. Brainerd's research has been consistently supported by major NSF grants, including the development of microXROMM for high-resolution imaging of small animals. Her publications reveal a trajectory from foundational work on breathing mechanics to innovative applications of XROMM technology across multiple vertebrate systems, particularly in suction feeding mechanics and skeletal kinematics. Her scientific recognition includes: Fellow of the American Association for the Advancement of Science (2004) Distinguished Research Achievement Award from Brown University (2019) Fellow of the American Association for Anatomy (2020) Joseph S. Nelson Lifetime Achievement Award in Ichthyology (2021) Bidder Prize Lecture from the Society for Experimental Biology (2023) Brainerd has mentored 7 doctoral students and 5 MS students to completion, plus over 50 undergraduate researchers. She has served as President of both the International Society of Vertebrate Morphology (2016-2019) and the Society for Integrative and Comparative Biology (2019-2021). Her teaching includes undergraduate courses in Comparative Anatomy, Comparative Physiology, and Human Physiology, graduate courses in Muscle Architecture and Biomechanics, and medical education in Human Anatomy.

Caroline HeberView profile

Professor

• European and International Tax Law
• Comparative VAT Law
• European Law
• +2 more

Caroline Heber is a Full Professor at the Institute for Financial Law, Law Faculty, University of Vienna, a position held since February 2023. She concurrently serves as Head of the Center for European Fiscal Law and Policy (since July 2023), Visiting Professor at IE University Madrid (since October 2023), and Research Affiliate at the Max Planck Institute for Tax Law and Public Finance in Munich. Her research explores: European/international tax law frameworks Comparative VAT legislation and compliance Cross-border taxation barriers EU legal integration and fiscal policy Recent publications focus on European tax harmonization, VAT implementation challenges, and financial inclusion mechanisms, demonstrating consistent engagement with EU fiscal policy evolution. She leads a research team including doctoral candidates and assistants working on topics like VAT law, EU tax reforms, and cross-border taxation. Current team members: Harjivan Bhullar, Julia Huber, Chiara Schartmüller, Timur Türker, and Luka Rosenauer.

Pasi SihvonenView profile

Adjunct Professor

• Systematics
• Biodiversity
• Taxonomy
• +7 more

Dr. Pasi Sihvonen serves as Docent in Ecology and Evolutionary Biology at the University of Helsinki, where he also holds the position of Director of the Zoology Unit at the Finnish Museum of Natural History. He supervises doctoral students in the Wildlife Biology Doctoral Programme and has directed numerous international research projects focused on geometrid moth systematics. His work combines molecular and morphological approaches to study one of the most diverse insect groups globally. Dr. Sihvonen's research focuses on the systematics and biodiversity of geometrid moths (Geometridae), a megadiverse insect radiation comprising approximately 24,000 species worldwide. His work emphasizes large-scale international collaborations that integrate molecular data with morphological analysis to understand evolutionary patterns. He is particularly known for his contributions to the landmark monograph series "Geometrid Moths of Europe" and advocates for digitization of natural history collections to provide open access to biodiversity data. His recent publications demonstrate a consistent focus on geometrid moth taxonomy, phylogenetics, and biogeography, with increasing incorporation of advanced technologies like micro-CT scanning for integrative taxonomy. His research spans diverse geographical regions including Europe, Africa, and South America, revealing patterns of diversification and adaptation across this globally distributed moth family. Dr. Sihvonen has received several prestigious awards recognizing his contributions to lepidopterology and taxonomy: Publication of the Year from the Lepidopterists' Society of Africa (2014) Lepidopterist of the Year in Finland from the Lepidopterological Society of Finland (2004, 2015) Risto Tuomikoski Prize for Taxonomist of the Year in Finland (2007) As a supervisor in the Doctoral Programme in Wildlife Biology, Dr. Sihvonen guides the next generation of taxonomists and evolutionary biologists. His grant portfolio includes significant international projects such as SYNTHESYS+ (2019-2023), BioMonitor4CAP (2022-2026), and BGE Europe (2024-2025), demonstrating his leadership in biodiversity research and monitoring initiatives across Europe. Dr. Sihvonen leads research teams at the Finnish Museum of Natural History's Zoology Unit, which maintains extensive insect collections that serve as critical resources for biodiversity research. His current projects focus on advanced biodiversity monitoring, pollinator conservation, and developing genomic resources for Finnish arthropods, positioning his work at the intersection of traditional taxonomy and modern conservation science.

• Biomimetics
• Bio-inspired Design
• Animal Flight
• +6 more

David Lentink is a Full Professor of Biomimetics at the University of Groningen , leading the Biomimetics Group within the Faculty of Science and Engineering. His research bridges biomechanics, aerospace engineering, and robotics, focusing on avian flight mechanics and bio-inspired aerial robotics . Previously at Stanford University, he pioneered the development of the Aerodynamic Force Platform and low-turbulence wind tunnels for animal flight studies. Education : PhD in Aerospace Engineering (Stanford), MSc in Mechanical Engineering (Delft), BSc in Mechanical Engineering (Delft). Research Interests : Understanding bird flight biomechanics to design advanced drones, studying evolutionary adaptations in flight, and developing biohybrid robots with real feathers. Scientific Awards : Dutch Academic Year Prize for the Flight Artists (2013). World Economic Forum Young Scientist under 40 (2013). Alumnus of the Young Academy of The Royal Netherlands Academy of Arts and Sciences. Labs : The Lentink Lab at Groningen’s Linnaeusborg campus integrates bird aviaries, wind tunnels, and maker spaces for bio-inspired robotics development. His team collaborates globally with institutions like Stanford, TU/e, and Sorama.

Felicitas KleberView profile

Professor

• Experimental Phonetics
• Laboratory Phonology
• Speech Production and Perception
• +4 more

Felicitas Kleber is a Professor of Speech Science at the Department of Language Science and Technology, Saarland University. Her research focuses on experimental phonetics and laboratory phonology, emphasizing the interplay between speech production and perception in sound change processes. Research Areas : experimental phonetics, laboratory phonology, coarticulation dynamics, prosody and intonation, diachronic sound change, German dialects. Projects : Directed DFG-funded research on vowel/consonant quantity typology in Southern German varieties (2016–2024); DAAD-funded study on prosodic structure in Hungarian and German (2015–2016). Collaborations : Key partnerships with Jonathan Harrington (phonetics), Ulrich Reubold (acoustic analysis), and interdisciplinary teams in computational linguistics and sociophonetics. She serves as Associate Editor for the Journal of the Acoustical Society of America , integrating cognitive and social dimensions into sound change models.

Valerie GoodView profile

Assistant Professor

• Marketing
• Sales Management
• Retail Marketing
• +3 more

Valerie Good serves as an Assistant Professor in the Department of Marketing and Transportation at the Walton College of Business, University of Arkansas, where she contributes to academic research and teaching in marketing disciplines. Her research spans critical domains including: Sales Management : Investigating salesperson well-being, motivation, and digital transformation impacts Retail Marketing : Analyzing online retail formats and product sales dynamics B2B Marketing : Exploring brand leverage and end-user engagement strategies Corporate Social Responsibility : Examining CSR's role during economic recessions Analysis of her 15 recent publications (2021-2025) reveals three dominant trajectories: (1) Human elements in sales processes, including resilience, loneliness, and purpose-driven motivation; (2) Digital transformation effects on retail formats, lead quality, and sales arrangements; (3) Strategic applications of corporate social responsibility during economic volatility. Her work consistently bridges theoretical rigor with practical sales and marketing applications, demonstrating increasing focus on psychological factors within commercial contexts.

Shin YooView profile

Professor

• Software Testing
• Debugging
• Search-based Software Engineering
• +7 more

Shin Yoo is a tenured Full Professor in the School of Computing at Korea Advanced Institute of Science and Technology (KAIST), where he leads the Computational Intelligence for Software Engineering (COINSE) research group. He received his PhD from King's College London in 2009 under the supervision of Prof. Mark Harman. Currently, he serves as the General Chair for ASE 2025, which will be held in Seoul, Korea. Professor Yoo earned his PhD in Computer Science from King's College London (2009), following an MSc in Software Engineering with Distinction from the same institution (2006). His academic journey includes positions as Tenured Associate Professor (2021-2025), Associate Professor (2018-2021), and Assistant Professor (2015-2018) at KAIST, as well as Lecturer and Research Associate positions at University College London and King's College London. His research focuses on the intersection of software engineering and artificial intelligence, particularly in search-based software engineering, software testing, automated debugging, SE4AI (Software Engineering for AI), and AI4SE (AI for Software Engineering). Professor Yoo's work bridges theoretical foundations with practical applications, developing innovative techniques for fault localization, test case generation, and debugging using machine learning and genetic programming approaches. His research has significant implications for improving software reliability and development efficiency in both traditional software systems and AI-powered applications. Professor Yoo's recent publications demonstrate a clear trend toward leveraging large language models and deep learning techniques for software engineering tasks. His work spans fault localization, automated debugging, GUI testing, and program analysis, with increasing focus on the challenges and opportunities presented by AI systems. His research shows a consistent evolution from traditional search-based software engineering to AI/ML-enhanced approaches, reflecting the broader trends in the field. ACM SIGEVO HUMIES Silver Medal (2017) for human competitive application of genetic programming to fault localization research IEEE TCSE Most Influential Paper Award (ICST 2024) for work on mutation-based fault localization Professor Yoo has supervised five PhD students to completion, with his former students now holding positions as assistant professors, post-doctoral researchers, and software engineers at institutions including Kyoungpook National University, Max-Planck Institute Security & Privacy, Università della Svizzera Italiana, Roku Korea, and NUS. He currently serves as an associate editor for the Journal of Empirical Software Engineering and ACM Transactions on Software Engineering and Methodology, and has held significant leadership roles in major software engineering conferences including Program Co-chair for SSBSE (2014), ICST (2018), and ICSE NIER track (2020), General Chair for SSBSE (2022), and Testing & Analysis Area Chair for ICSE (2024). As leader of the Computational Intelligence for Software Engineering (COINSE) group at KAIST, Professor Yoo directs research that combines computational intelligence techniques with software engineering challenges. The group focuses on developing novel approaches to software testing, debugging, and analysis using search-based and AI-driven methods. Their work spans both theoretical foundations and practical implementations, with strong connections to industry challenges and applications.

• Decolonial Studies
• Critical Interculturality
• Indigenous Social Movements
• +4 more

Catherine E Walsh is a senior professor and director of the doctoral programme in Latin American Cultural Studies at the Andean University Simón Bolívar in Ecuador. Her academic work centers on decolonial theory, critical interculturality, and the political, epistemic and ethical dimensions of knowledge production in Latin America, with particular focus on Indigenous and Black social movements across the region. Walsh's research interests span decolonial studies, Indigenous epistemic traditions, critical pedagogy, race and gender studies, and Latin American political movements. She has developed influential theoretical frameworks including "re-existence" and "cracks" to understand how alternative social practices emerge from below to challenge coloniality and hegemonic neoliberalism. Her work places Indigenous knowledge systems in conversation with feminists of color like M. Jacqui Alexander and Maria Lugones, as well as anticolonial theorists like Frantz Fanon, creating a rich interdisciplinary approach that bridges social movements with academic theory. She examines how communities living in direct relation with the land challenge Western nation-state sovereignty and imagine alternative forms of humanity "after Man." Walsh's publication trajectory reveals a consistent evolution from early work on educational exclusion of Latinos in the United States toward increasingly sophisticated decolonial frameworks. Her recent scholarship demonstrates how decolonial "cracks"—understood as extant and nascent fissures in the dominant order—take form through ground-up theorizing and practice. She argues for moving beyond "pedagogy as justice" toward "pedagogies of and for life" that enable alternative modes of living despite and beyond the capitalist-modern-colonial-racist system. Her work consistently centers Indigenous and Afro-descendant knowledge while critically engaging with Western theoretical frameworks. Among her most significant contributions is the 2023 book "Rising Up, Living On," which provides a comprehensive overview of Indigenous and Black militant social movements in Latin America from the mid-1990s to the present. As an editor, she has made foundational decolonial works accessible to broader audiences through her 2024 editorial work on "Aníbal Quijano: Foundational Essays on the Coloniality of Power." Her conceptual development of "re-existence" has become a powerful framework for understanding resistance that not only opposes domination but actively creates new forms of being and knowing.

Luke MooreView profile

Assistant Professor

• Planetary Atmospheres
• Upper Atmospheres of Giant Planets
• Space Environment Interactions
• +5 more

Luke Moore is a Research Assistant Professor of Astronomy at Boston University's Department of Astronomy, with office CAS 402. His research focuses on planetary atmospheres and their interactions with the space environment, particularly the upper atmospheres of giant planets. He is affiliated with the Center for Space Physics at Boston University. Moore earned his BS from the University of Arizona and completed his MA and Ph.D. at Boston University. His academic background has positioned him as a leading researcher in planetary atmospheric science, with expertise spanning observational techniques, computational modeling, and instrument development. Moore's primary research interests include: Modeling and observations of planetary atmospheres, with emphasis on giant planets Upper atmospheric processes and their coupling with the space environment Development and application of computer models for tenuous plasmas in planetary upper atmospheres Ground-based and space-based observational techniques for planetary science H3+ ionosphere studies across multiple planets Ring-planet interactions, particularly Saturn's ring rain phenomenon His extensive publication record demonstrates significant contributions to understanding planetary atmospheres throughout the solar system. Recent work shows a strong focus on Jupiter and Saturn using data from Juno and Cassini missions, with emerging research on Uranus and Neptune utilizing JWST observations. A key research trend involves the connection between ring systems and planetary atmospheres, as well as the role of auroral processes in heating upper atmospheres across the giant planets. Moore is actively involved in instrument development as a key contributor to the Rapid Imaging Planetary Spectrograph (RIPS). This innovative instrument enables high-quality simultaneous spectra and images of extended objects through 'lucky imaging' techniques. RIPS has been successfully deployed at multiple observatories including the Perkins telescope in Flagstaff, Arizona and the 3.67m AEOS telescope, where it has been used to study Mercury's exosphere, the Moon, and Jupiter's moons. His instrument work represents an important bridge between theoretical modeling and observational planetary science.