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Bret BatteyView profile

Professor

• Audiovisual Composition
• Algorithmic Music
• Digital Signal Processing
• +14 more

Professor Bret Battey is a Professor of Audiovisual Composition at De Montfort University, affiliated with the Faculty of Computing, Engineering and Media and the Leicester Media School. He is a core member of the Music Technology and Innovation Research Centre (MTIRC) and the Research Institute of Arts, Design and Performance (ADP). With a background spanning music composition, computer science, and digital arts, he integrates technical and artistic expertise in his work. His research interests include algorithmic music, digital signal processing, audiovisual synthesis, complex systems, feedback mechanisms, chaos theory, and the modeling of Indian classical music. He explores the expressive potential of custom-programmed algorithms to create immersive sound and image compositions. Battey's creative works, such as the Estuaries series and Mercurius , have received international acclaim, earning awards from Prix Ars Electronica, Bourges, Punto y Raya, ICMC, and others. His recent publications and installations focus on generative systems, audiovisual counterpoint, and the interplay between time, space, and perception in multimedia art. Award of Distinction: Video Music, Prix CIME 2023 Best Regional Music (Europe), ICMC 2022 MacDowell Colony Norton Stevens Fellow, 2003 U.S. Fulbright Research Fellowship to India, 2001-2002 Fellow of the Higher Education Academy He has supervised numerous postgraduate research students in areas including audiovisual composition, Indian classical music, and complex systems. He has led internally funded projects such as Haptic Control of Multistate Generative Music Systems and received research leave support. His consultancy includes mentoring for pedagogical software in Indian classical music with NESTA. He is actively involved in the academic community as a reviewer for Computer Music Journal and Organised Sound , and as a selection panel member for international competitions. Bret Battey leads and contributes to research groups including MTIRC and ADP, where he fosters interdisciplinary collaboration between music, technology, and visual arts. His work often involves custom software development, live performance systems, and installations that explore the boundaries of sensory experience and computational creativity.

Judith A. WildeView profile

Research Professor

• Educational Policy
• Statistics and Evaluation
• Grant Writing
• +7 more

Judith A. Wilde is a Research Professor at the Schar School of Policy and Government, George Mason University, where she also served as the founding Chief Operating Officer and Senior Associate Dean. She brings extensive experience from prior roles at George Washington University, New Mexico Highlands University, and the University of New Mexico. Education: PhD in Educational Foundations (Research, Evaluation, Statistics, Assessment), University of New Mexico MAT in Secondary Education, Claremont Graduate School and University Center BA in European Thought and Culture, Scripps College Her research spans educational equity , English learner education , professional development design , and higher education leadership . She has led large-scale evaluations of federal education programs and is deeply engaged in policy research on university presidential hiring, compensation, and exit agreements. Her recent work includes innovative studies on addiction interventions in justice settings and governance by armed non-state actors. The most recent publications reflect a strong interdisciplinary focus, combining public policy, education, criminal justice, and mixed-methods research. Themes include federal grant mechanisms (e.g., NIH HEAL, DoD MINERVA), equity in education, and executive leadership in academia. Her work blends rigorous evaluation with practical policy implications. Scientific and Professional Recognition: Executive Director, National Clearinghouse for English Language Acquisition (NCELA) Vice President for Recognition, Council for Higher Education Accreditation (CHEA) Consultant to U.S. Department of Education, U.S. Postal Service OIG, Council of the Great City Schools, and WIDA Consortium Judith Wilde has secured and led major federally funded grants, including as Principal Investigator for the NIH HEAL-funded JCOIN Rapid Innovation Grants and administrative PI for a DoD MINERVA grant. She has advised numerous school districts and national organizations, providing technical assistance and evaluation services. While formal advisees are not listed, her leadership in research centers and training initiatives suggests significant mentorship and team oversight. She is actively involved in public discourse, frequently contributing articles and interviews on higher education leadership. Her work bridges academic research, policy implementation, and public engagement.

Lifeng WangView profile

Associate Professor

• Materials Modeling
• Computational Mechanics
• Micro/Nano-Mechanics
• +7 more

Lifeng Wang is an Associate Professor in the Department of Mechanical Engineering at Stony Brook University. He holds a B.E. (2001) and Ph.D. (2006) in Solid Mechanics from Tsinghua University. Prior to Stony Brook, he was an Assistant Professor at Clarkson University (2011–2013) and a postdoctoral associate at MIT (2006–2011). His research focuses on materials modeling, computational mechanics, micro/nano-mechanics, 3D printing, biomaterials, and composite materials. He has published over 25 journal articles and one patent, with work featured in MIT News, NBC News, and Nature News. Research Interests include: Materials modeling and computational mechanics Mechanical behavior of polymers, thin films, and composites Bio-inspired materials and biological systems Lattice metamaterials and mechanical metamaterials 3D printing and additive manufacturing techniques He has received awards such as the National Excellent Doctoral Dissertation Award (China, 2008) and was named among the World’s Top 2% Scientists (2023). His lab explores digital materials, mechanical metamaterials, biomaterials, and fiber networks. Notable projects include biomimetic composites, auxetic materials, and smart materials for robotics. Advisees include over a dozen master’s students at Stony Brook, with active collaborations in grants exploring programmable materials and energy absorption systems. His work integrates machine learning for material design and experimental validation of theoretical models.

Pai WangView profile

Professor

• Wave Mechanics
• Architected Materials
• Phononic Crystals
• +4 more

Pai Wang is a Professor in the Department of Mechanical Engineering at the University of Utah, leading the Utah Waves & Architected Materials Lab . Their research focuses on wave mechanics, phononic crystals, acoustic metamaterials, and topological mechanics for noise control, vibration reduction, and acoustic diagnostics. Ph.D. & M.Sc., School of Engineering and Applied Sciences, Harvard University Research spans tunable wave propagation systems, nonlinear dynamics in metamaterials, and inverse design methodologies for phononic crystals. Recent work explores quantum computing applications in structural engineering and bio-inspired mechanical materials. Experimental observation of negative rotational inertia Multi-stable architected materials for energy trapping Nonlocal phononic crystal design for customizable dispersion relations Pai Wang's lab develops advanced manufacturing techniques for metamaterials and investigates wave propagation in complex structures, including fractal-inspired and cubic-symmetric systems.

• Operations Research
• Applied Probability
• System Optimization
• +7 more

Gözde Yazgı Tütüncü is a Professor in the Department of Mathematics at İzmir University of Economics, where she has served as faculty since 2010. She earned her PhD in Operations Research and Statistics from Coventry University (UK) in 2006, following MSc degrees in Statistics (Ankara University, 2001) and Industrial Engineering (Başkent University, 2003). She previously held Assistant Professor positions at İzmir University of Economics (2006-2008) and IESEG School of Management, Lille Catholic University (France, 2008-2010). PhD: Operations Research & Statistics, Coventry University (2006) MSc: Statistics, Ankara University (2001) MSc: Industrial Engineering, Başkent University (2003) BSc: Statistics, Ankara University (1999) Her research spans Operations Research, Applied Probability, and System Optimization with emphasis on Reliability Engineering, Fuzzy Logic applications, Healthcare System Optimization, and Heuristic Algorithms for decision-making. She has developed innovative approaches in inventory control under fuzzy costs, vehicle routing optimization, and reliability analysis of complex systems. Her work bridges theoretical mathematics with practical applications in logistics, healthcare, and bioinformatics. Recent publications demonstrate evolving expertise from classical Operations Research (2008-2012) toward interdisciplinary applications in bioinformatics (RNA-Seq analysis since 2019) and advanced fuzzy mathematics (2024). Key publication venues include European Journal of Operational Research, OMEGA, and International Journal of Production Economics, with growing emphasis on computational methods for high-dimensional data. Her scholarly contributions appear in leading journals including: European Journal of Operational Research International Journal of Production Economics OMEGA: International Journal of Management Science Bioinformatics journals for genomic applications Professor Tütüncü has established collaborative research networks across Turkey, France, and international institutions, with significant contributions to reliability theory, fuzzy optimization, and vehicle routing algorithms. Her current work focuses on integrating machine learning with traditional Operations Research methods for complex system optimization.

Charles Robert DoveView profile

Professor

• Swine Nutrition
• Animal Nutrition
• Dietary Nutrients
• +4 more

Charles Robert Dove serves as a Professor in the Department of Animal and Dairy Science at the University of Georgia's College of Agricultural & Environmental Sciences. His academic appointment began as Assistant Professor in October 1988, advancing to Associate Professor in July 1995, and reaching his current Professor position in July 2024. Dr. Dove maintains his office at the Rhodes Animal Science Center on the Athens campus. B.S. from University of Missouri-Columbia M.S. from University of Missouri-Columbia Ph.D. in Animal Nutrition from Iowa State University Dr. Dove's research program primarily focuses on the interaction between dietary nutrients, vitamins, and trace minerals in swine nutrition. His work extensively examines alternative feed ingredients and nutritional quality measurements. While he has no extension appointment, he remains highly active in youth swine programs and teaches the graduate minerals class. His research spans multiple critical areas including mineral metabolism, swine growth performance, and nutritional interventions for improved animal health. Analysis of Dr. Dove's recent publications reveals a consistent focus on swine nutrition with particular emphasis on trace minerals, especially manganese, selenium, and iodine. His work bridges basic nutritional science with practical applications in swine production systems. The research demonstrates strong methodological rigor with increasing incorporation of microbiome analysis in more recent studies, reflecting evolving trends in animal nutrition science. Scientific Awards: Student Career Success Influencer Award (2024) Dr. Dove has secured substantial research funding from various sources including Zinpro Corporation, Georgia Pork Producers, and USDA NIFA. His grant portfolio demonstrates a strong industry-academic partnership with numerous unrestricted gifts supporting swine research, particularly focused on mineral nutrition. He has mentored undergraduate researchers through CAES programs including Young Scholar research projects and CURO (Center for Undergraduate Research Opportunities) initiatives. His research program appears well-funded with ongoing projects extending through 2026, including the USDA NIFA project 'Utilizing Dietary Nicotinamide Riboside Supplementation as a Countermeasure to Muscle Fatigue.' Dr. Dove maintains strong collaborative networks within the animal science community, working with researchers across multiple institutions as evidenced by his multistate research projects. His work on sow locomotion and claw trimming represents an important contribution to swine welfare research.

Michael AboodiView profile

Assistant Professor

• Pulmonary Medicine
• Critical Care Medicine
• Infectious Diseases
• +4 more

Michael Aboodi, M.D. is Assistant Professor of Clinical Medicine at Weill Cornell Medical College and Assistant Attending Physician at NewYork-Presbyterian Hospital, specializing in pulmonary and critical care medicine. Education M.S., Albert Einstein College of Medicine of Yeshiva University, 2020 M.D., Albert Einstein College of Medicine of Yeshiva University, 2014 B.S., Yale University, 2007 Research Interests Dr. Aboodi’s scholarly work centers on critical care medicine, sepsis, influenza, and COVID-19. He conducts large-scale epidemiologic studies, randomized clinical trials, and translational investigations aimed at improving outcomes for critically ill patients. His interests span organ dysfunction, vaccine effectiveness, ICU resource utilization, and innovative therapeutic strategies in infectious and cardiopulmonary diseases. Publication Trends From 2020-2024 his publications reveal a strong focus on COVID-19 pathophysiology and management, sepsis therapeutics, and influenza epidemiology. The work is characterized by multi-center collaborations and real-world data analyses that inform evidence-based critical care. Scientific Awards No awards were listed in the provided materials. Advising & Grants No specific trainees or grant details were provided. Laboratory & Clinical Teams Dr. Aboodi practices clinically at NewYork-Presbyterian Hospital’s pulmonary and critical care services; no dedicated research laboratory or named team is described.

• Ferroic Materials
• Nonvolatile Memories
• Memristive Devices
• +3 more

Changjian Li is an Associate Professor in the Department of Materials Science and Engineering at Southern University of Science and Technology (SUSTech), Shenzhen, China. He joined SUSTech in February 2021 as an Assistant Professor and was promoted to Associate Professor in 2022 after prior research fellowships at the National University of Singapore (NUS). His academic background includes a Ph.D. in Integrative Science and Engineering (2015), B.Eng. in Materials Science & Engineering (2011), and B.S. in Physics (2011), all from NUS. His research focuses on three interconnected themes: (1) nanoscale ferroelectricity/ferromagnetism properties, (2) memory/memristive devices using ferroic materials, and (3) in-situ atomic-scale STEM-EELS characterization of non-volatile memory mechanisms. This work addresses fundamental challenges in post-Moore's Law computing through neuromorphic hardware approaches. Recent publications (2022-2024) demonstrate increasing specialization in nickelate superconductors, strain-engineered ferroelectric membranes, and van der Waals ferroelectrics, with strong emphasis on atomic-scale defect analysis and device physics. His work consistently bridges fundamental materials characterization with practical device applications. Dr. Li has received significant recognition including: NSFC Excellent Young Scientists Fund Program (Overseas) 2021 Shenzhen Peacock Project (Class B) 2021 Lee Kuan Yew Postdoctoral Fellowship 2016 Chinese Government Award for Outstanding Self-Financed Students Abroad 2015 He actively mentors students on advanced projects such as 2D ferroelectric metal-organic frameworks for ultralow-power transistors (published in Advanced Functional Materials 2024) and has secured competitive grants including the NSFC Excellent Young Scientists Fund. His group operates advanced facilities including double Cs-corrected TEM, environmental TEM, pulsed laser deposition systems, and PPMS for comprehensive materials analysis. Leading the Functional Oxide Thin Film Research Group at SUSTech, Dr. Li directs experimental efforts in in-situ STEM characterization and thin-film growth for next-generation neuromorphic computing devices, currently recruiting postdocs for specialized roles in aberration-corrected microscopy and ferroelectric heterostructure development.

Fred W. WubsView profile

Associate Professor

• Numerical Mathematics
• Finite Element Analysis
• Bifurcation Analysis
• +5 more

Dr. ir. Fred W. Wubs is an Associate Professor of Numerical Mathematics at the University of Groningen's Faculty of Science and Engineering, specifically within the Bernoulli Institute for Mathematics and Computer Science. His research spans multiple disciplines connecting applied mathematics with real-world applications in biomechanics and climate science. Based at the Bernoulliborg (room 451) in Groningen, Netherlands, he maintains active research collaborations across engineering, medical, and environmental fields. Wubs' research interests focus on numerical methods development and application, with particular expertise in finite element analysis, bifurcation theory, and computational modeling of complex systems. His work bridges theoretical mathematics with practical applications, spanning from biomechanical analysis of mandibular fractures to ocean circulation modeling and climate system dynamics. His fingerprint analysis reveals strong contributions in matrix mathematics (100%), bifurcation analysis (81%), time-stepping methods (58%), factorization techniques (58%), and Jacobian matrix applications (52%). His publication record shows a clear dual trajectory: one stream applying numerical methods to biomedical problems (particularly mandible fracture mechanics and orthopedic implant design), and another focused on climate and ocean modeling (including ocean circulation, ice sheet dynamics, and Earth system modeling). This interdisciplinary approach demonstrates how fundamental numerical mathematics can address diverse challenges across seemingly unrelated fields. Wubs has supervised 5 research projects as indicated by his academic profile, though specific student names aren't provided in the available information. His work has been cited extensively, with some publications receiving over 25 citations in Scopus. His research appears in high-impact journals including Scientific Reports, Journal of Advances in Modeling Earth Systems, and Journal of Computational Physics. He maintains active laboratory work in numerical simulation, with recent publications indicating ongoing projects in biomechanical testing validation using 3D printed models and advanced computational techniques for ocean and climate modeling. His work on physics-controlled echo state networks represents an innovative integration of machine learning with traditional numerical methods.

Bruce MillerView profile

Professor

• Agricultural Systems
• Soil Science
• Environmental Science
• +3 more

Bruce Miller serves as Department Head and Research Farm Coordinator at Utah State University's Aviation Technology department. With a PhD in Agricultural and Extension Education from Iowa State University (1991), he specializes in the environmental impacts of agricultural systems, focusing on composting, nutrient dynamics, and sustainable farming practices. PhD, Agricultural and Extension Education, Iowa State University MS & BS, Mechanized Agriculture, University of Nebraska His research explores nitrogen cycling in agricultural soils, ammonia emission control during composting, and the long-term benefits of organic amendments. Recent publications highlight compost application in dryland farming and dairy waste management. Scientific awards include the 2008 CSREES Partnership Award for Multistate Efforts and multiple teaching accolades like the 1997 Faculty of the Quarter. He actively mentors graduate students, including Blair Miller (2010), and contributes to extension programs on manure handling systems.

Ioannis S. TriantafyllouView profile

Associate Professor

• Statistics
• Applied Probability
• Nonparametric Statistical Process Control
• +3 more

Ioannis S. Triantafyllou is an Associate Professor at the Department of Statistics and Actuarial Science of the University of Piraeus, where he has been serving since 2022. Previously, he was an Associate Professor at the Department of Informatics with applications in Biomedicine at the University of Thessaly (2017-2021) and a Lecturer at the same department (2016-2017). He also serves as Collaborating Educational Staff at the School of Natural Sciences & Technology, Hellenic Open University since 2013. Education: Postdoctoral Research (2011) in Probability and Statistics at the University of Piraeus Doctoral Degree (2009) from the Department of Statistics & Actuarial Science, University of Piraeus Master's Degree in Applied Statistics (2005) from the University of Piraeus Bachelor's Degree (2002) from the Department of Mathematics, National & Kapodistrian University of Athens Dr. Triantafyllou's research focuses on Statistics and Applied Probability, with particular emphasis on Nonparametric Statistical Process Control, Nonparametric Statistical Inference, Statistical Reliability Theory, Order Statistics Theory, and Aging properties study. His work bridges theoretical statistics with practical applications in reliability engineering and quality control. He has developed innovative nonparametric methods for monitoring industrial processes without assuming specific distributional forms, which has significant implications for quality assurance in various industries. His recent publications demonstrate a strong focus on reliability structures, particularly consecutive-type systems, weighted components, and distribution-free control charts. The research shows a clear trend toward developing more sophisticated models that incorporate multiple failure modes, redundancy mechanisms, and nonparametric approaches that don't require distributional assumptions. His work increasingly intersects with applications in supply chain management, medical diagnostics, and engineering systems. Professional Recognition: Associate Editor at International Journal of Mathematical Engineering and Management Sciences Reviewer at Mathematical Reviews/MathSciNet Guest Editor for special issues in Mathematics, International Journal of Quality and Reliability Management, and Reliability: Theory and Applications Member of Scientific Committees for multiple Panhellenic Statistical Conferences Dr. Triantafyllou has supervised more than 60 undergraduate theses and over 35 master's theses throughout his career. His teaching spans 8 undergraduate and 23 graduate courses across multiple institutions, totaling more than 13 academic semesters of instruction. He has authored 18 teaching textbooks and served as a reviewer for 37 different international scientific journals, evaluating more than 70 papers. His research laboratory focuses on reliability engineering and statistical process control, with active collaborations across multiple institutions. Current projects involve developing advanced nonparametric control charts for industrial applications and studying complex reliability structures with multiple failure criteria.

• Biophysics
• Fluid Dynamics
• Soft Matter Physics
• +3 more

Dr. Stefano Villa is a Group Leader and Scientist at the Max Planck Institute for Dynamics and Self-Organization , leading interdisciplinary research at the intersection of biophysics, fluid dynamics, and cellular mechanics. He earned a Master's degree in Physics from the University of Milan (2014) and a PhD in Physics from the University of Montpellier (2018). His career includes postdoctoral work at the Charles Coulomb Laboratory (Montpellier) and BIOMETRA Department (University of Milan). His research spans three main domains: Cilia-Driven Cerebrospinal Fluid Dynamics in the ventral third ventricle of mammalian brains, using particle tracking and immunostaining to decode flow patterns. Shear-Induced Cellular Responses in amoeba colonies, epithelial monolayers, and heart muscle fibers, integrating experimental microscopy with vertex modeling. Colloidal and Soft Matter Mechanics via rheomicroscopy and 3D tracking of microparticles near fluid interfaces. His recent publications in Soft Matter , Nature Materials , and Cell Reports highlight his contributions to understanding tissue fluidification, stress-induced phase transitions, and interfacial particle dynamics. Collaborations span institutions including the University of Milan , IFOM Institute , and Charles Coulomb Laboratory .

Andrew McShanView profile

Assistant Professor

• Structural Biology
• Biochemistry
• Immunology
• +4 more

Andrew McShan serves as an Assistant Professor in the School of Chemistry and Biochemistry at the Georgia Institute of Technology, where he directs the McShan Lab focused on structural biology, immunology, and computational protein design. His research integrates experimental and computational approaches to investigate biomolecular structures with therapeutic relevance, particularly in immune receptor systems and lipid-protein interactions. His academic foundation includes: A.Sc. from University of Houston (2008) B.Sc. and Ph.D. from University of Kansas (2010, 2016) Postdoctoral Research at UC Santa Cruz (2016-2020) Postdoctoral Research at University of Pennsylvania & Children’s Hospital of Philadelphia (2020-2022) Research interests center on atomic-level characterization of biomolecules including de novo designed proteins, therapeutic peptides, lipid transfer proteins, and immunoreceptors (MHC molecules, T cell receptors, CD8 co-receptors). The lab specializes in determining structures and dynamics of these systems through solution NMR spectroscopy, X-ray crystallography, cryo-EM, and computational modeling, with particular emphasis on antigen presentation mechanisms and lipid-protein interactions. Current projects span structural biology of natural product biosynthesis, computational development for lipid-protein modeling, and engineering novel protein-based therapeutics. Recent publications (2023-2025) reveal strong integration of AlphaFold/RoseTTAFold applications with experimental validation, particularly in protein design, lipid-binding systems, and immune receptor characterization. Key trends include computational database development for lipid-protein interactions (BioDolphin), multistate protein design methodologies, and structural analysis of pathogen-derived antigens. Scientific recognition includes: NSF CAREER Award (2025) Shurl and Kay Curci Foundation Research Grant (2024) Dr. McShan mentors graduate students through comprehensive training in biochemical/biophysical techniques (SPR, ITC, NMR), structural biology methods, computational modeling, and immunological assays. His lab operations are supported by competitive research grants including the NSF CAREER award and Curci Foundation grant, which fund investigations into structural mechanisms of immune recognition and protein design principles. The McShan Lab maintains an explicitly inclusive environment welcoming LGBTQAI+ members, women, disabled scientists (including those with invisible disabilities), and scientists of color, fostering collaborative research in structural immunology and protein engineering.

Leonard HarrisView profile

Assistant Professor

• Cancer systems biology
• Computational modeling
• Multiscale modeling
• +7 more

Leonard Harris is an Assistant Professor in the Department of Biomedical Engineering within the College of Engineering at the University of Arkansas. His research focuses on cancer systems biology, with expertise in computational modeling and simulation of complex intracellular signaling pathways and cell-cell interactions in tumors. Working closely with experimental collaborators, his lab develops comprehensive, mechanistic models of molecular pathways underlying non-genetic mechanisms of drug resistance in cancer cells. Education: Postdoctoral Research Fellow, Biochemistry, Vanderbilt University School of Medicine Postdoctoral Associate, Computational & Systems Biology, University of Pittsburgh School of Medicine Ph.D., Chemical and Biomolecular Engineering, Cornell University B.S., Chemical Engineering, University of Colorado, Boulder Dr. Harris's research centers on cancer systems biology with a focus on phenotypic plasticity and non-genetic heterogeneity in anticancer drug response. His lab develops multiscale models of intracellular signaling pathways and cell-cell interactions to understand tumor heterogeneity. A key aspect of his work examines intrinsic stochasticity in cell fate decision making and its role in therapeutic resistance. His computational approaches aim to create in silico platforms for virtual anticancer drug screens to identify novel molecular targets and improve cancer treatment outcomes. Analysis of Dr. Harris's recent publications reveals a consistent focus on computational approaches to understand tumor heterogeneity and drug resistance mechanisms. His work integrates mathematical modeling with experimental data to dissect genetic, epigenetic, and stochastic sources of variability in cancer cell populations. His research spans multiple cancer types, with particular emphasis on melanoma and lung cancer, examining how non-genetic mechanisms contribute to therapeutic resistance. The publications demonstrate progression from foundational computational methods to increasingly sophisticated models of tumor dynamics and drug response. Scientific Awards: NIH/NCI Transition Career Development Award to Promote Diversity (K22) National Library of Medicine Biomedical Informatics Postdoctoral Fellowship Semiconductor Research Corporation Graduate Fellowship Dr. Harris serves as principal investigator for multiple research grants focused on cancer systems biology and computational oncology. His lab receives funding from the National Institutes of Health, including the NCI K22 award supporting his transition to independence. His research integrates experimental and computational approaches through collaborations with wet-lab researchers at the University of Arkansas and other institutions. Current projects examine tumor-induced bone disease, phenotypic plasticity in small cell lung cancer, and mechanisms of drug tolerance in melanoma. Dr. Harris leads a computational cancer biology lab that develops and applies advanced modeling techniques to understand tumor heterogeneity and drug resistance. His team works at the intersection of computational biology, systems pharmacology, and cancer biology, creating models that bridge molecular, cellular, and population scales. The lab collaborates extensively with experimental groups to validate model predictions and generate new hypotheses about cancer progression and therapeutic response.

• Integrated Pest Management
• Insect Physiology
• Biological Control
• +4 more

Dr. David Weaver serves as a Professor in the Department of Land Resources & Environmental Sciences within Montana State University's College of Agriculture, with cross-affiliations to the Institute on Ecosystems and Pollinator Health Center. His academic credentials include: Ph.D. in Agricultural Sciences, McGill University (1990) B.S. in Biological Sciences, Dalhousie University (1984) Research focuses on developing sustainable solutions for agricultural pest challenges through Integrated Pest Management and biological control systems. His work addresses critical issues in wheat stem sawfly resistance, invasive plant management (toadflaxes, Russian olive), and pollinator health using molecular, ecological, and remote sensing approaches. Recent publications (2023-2025) reveal consistent emphasis on molecular mechanisms of plant resistance (metabolomics/transcriptomics), hyperspectral detection of pest damage, and biocontrol agent ecology—demonstrating integration of laboratory and field methodologies across entomology, plant science, and ecosystem management. Key recognition includes: Charles and Nora Wiley Faculty Award for Meritorious Research (2015) Dr. Weaver maintains active research funding and academic engagement through: USDA NIFA grant for wheat stem sawfly resistance gene discovery Three concurrent Montana Noxious Weed Trust Fund projects (2025) targeting invasive species biocontrol Montana Department of Agriculture grant for cowpea agronomy Ongoing service in multistate research projects (W2193, NC-213) Editorial reviews for major entomology journals His research group contributes to Montana State University's land-grant mission through extension publications, student mentorship, and collaborative field studies addressing regional agricultural challenges.