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Jeffery D. WeirView profile

Adjunct Professor

• Operations Research
• Decision Analysis
• Risk Analysis
• +6 more

Dr. Jeffery D. Weir is an Adjunct Professor in the Department of Operational Sciences at the Air Force Institute of Technology (AFIT). A former U.S. Air Force officer, he specializes in decision analysis, risk analysis, and multi-objective optimization, with applications spanning military logistics, energy systems, and transportation modeling. His research addresses complex operational challenges such as aircraft scheduling, RNA foldability prediction, and cost analysis for military installations. Doctor of Philosophy (Ph.D.), Industrial Engineering & Operations Research, Georgia Institute of Technology, 2002 Master of Science (M.S.), Operations Research, Air Force Institute of Technology, 1995 Bachelor of Science in Electrical Engineering (B.S.E.E.), Georgia Institute of Technology, 1988 Dr. Weir's research bridges theoretical and applied domains, focusing on metaheuristics, data envelopment analysis, and robust optimization. His recent work includes RNA structure prediction frameworks, multi-modal distribution networks, and energy model recommendation systems. His publications span journals like BMC Bioinformatics , European Journal of Operations Research , and IEEE Transactions on Evolutionary Computation , reflecting interdisciplinary expertise in computational biology, military logistics, and building energy systems. Scientific awards include the Toulmin Medal for best article in 2004. He has received grants from the Defense Intelligence Agency, United States Transportation Command, Air Force Materiel Command, and other military organizations. Dr. Weir is a member of the Institute for Operations Research and the Management Sciences (INFORMS), Military Operations Research Society, and Institute of Industrial Engineers. His work emphasizes practical decision support tools for military personnel and resource management.

• Geoinformatics
• Cartography
• Geodetic Science
• +5 more

Prof. Monika Sester is a distinguished Professor and Executive Director of the Institute of Cartography and Geoinformatics at Leibniz University Hannover, within the Faculty of Civil Engineering and Geodetic Science. She also serves as Spokesperson for the Leibniz Research Center FZ:GEO and holds multiple leadership roles including Faculty Information Officer (FIO) for the Faculty of Civil Engineering and Geodetic Science, Ombudsman for Good Scientific Practice, and Exchange Coordinator for Geodetic Science and Geoinformatics. Her research focuses on the intersection of geospatial information science, cartography, and urban mobility. Prof. Sester's work spans several key areas: Geospatial data processing and analysis Cartographic representation and visualization Urban mobility and transportation systems Spatial data uncertainty and quality Digital mapping technologies and applications Historical map analysis and interpretation Prof. Sester's recent publications demonstrate a strong focus on applying advanced computational techniques to geospatial problems. Her work shows increasing emphasis on machine learning applications for map analysis, urban mobility optimization, and 3D spatial modeling. She has been particularly active in researching applications of deep learning for historical map interpretation, urban mobility patterns, and spatial uncertainty visualization. Her contributions to the field have been recognized through leadership positions in major research initiatives: Executive Director, Institute of Cartography and Geoinformatics Spokesperson, Leibniz Research Center FZ:GEO Faculty Information Officer, Faculty of Civil Engineering and Geodetic Science Ombudsman for Good Scientific Practice Member of multiple academic committees including the Admissions and Examination Board Prof. Sester actively collaborates with students and researchers across multiple projects focused on geospatial information systems, urban mobility, and cartographic visualization. Her leadership extends to guiding research directions within the Leibniz Research Center FZ:GEO, which brings together interdisciplinary expertise to address complex spatial challenges.

• Scan-to-BIM
• Geomatics
• Building Information Modeling
• +7 more

Maarten Bassier is an Assistant Professor (tenure track) at KU Leuven, affiliated with the Department of Civil Engineering within the Faculty of Engineering Technology. He is based at the Geomatics unit operating at the Ghent and Aalst Campuses. His academic profile combines research, teaching, and institutional service, with significant contributions to the field of digital construction technologies. As senior academic staff, he serves on both the Council of the Faculty of Engineering Technology and the Civil Engineering Department Council, actively participating in institutional governance while maintaining a robust research program focused on Scan-to-BIM methodologies and geospatial applications in construction. Dr. Bassier's research centers on Scan-to-BIM methodologies, which involve converting 3D scans of existing buildings into Building Information Models. His work bridges geomatics, computer vision, and civil engineering, with applications in construction progress monitoring, infrastructure inspection, and heritage documentation. He applies machine learning techniques to automate aspects of the modeling process, particularly semantic segmentation of point clouds and integration of UAV (drone) data. His research increasingly incorporates deep learning approaches for object detection, segmentation, and completion in complex built environments, with practical applications spanning road construction, bridge inspections, and electrical substation modeling. His interdisciplinary approach connects civil engineering with computer science to solve practical construction challenges through digital innovation. Bassier's recent publication record demonstrates a strong focus on automating the Scan-to-BIM process through advanced computational techniques. His work spans multiple application domains while maintaining a consistent methodological thread of integrating sensing technologies with semantic understanding of construction environments. The trajectory of his research shows increasing sophistication in machine learning applications, moving from basic point cloud processing to complex semantic understanding and automated model generation. His publications appear in high-impact journals across civil engineering, remote sensing, and computer vision domains, reflecting the interdisciplinary nature of his work. SESAME - Semantic Segmentation of Electrical Substations and Derived Models for Engineering (2024-2026) - Promotor UAV-assisted bridge inspections (2022-2027) - Co-promotor XR-empowered dynamic reality modeling for AECO applications (2021-2026) - Co-promotor Digitization in road construction: automating as-built models (2020-2026) - Co-promotor SCAN-to-BIM Automation of as-built BIM production through digitization and machine learning (2020-2025) - Co-promotor As a member of the Division Digital and Sustainable Civil Engineering and the Subdivision Geomatics Ghent, Dr. Bassier contributes to KU Leuven's research ecosystem focused on digital transformation in civil engineering. His teaching portfolio includes courses on BIM, industrial measurements, Scan-to-BIM, 3D modeling, and geomatics, preparing the next generation of civil engineers for the digital construction landscape. His work represents the cutting edge of digital construction technologies, with practical applications that address real-world challenges in infrastructure development and maintenance.

• Retinal Neuroscience
• Inherited Retinal Disease
• Electrophysiology
• +5 more

Omar Mahroo is Professor of Retinal Neuroscience at University College London's Institute of Ophthalmology, and a consultant ophthalmologist at Moorfields Eye Hospital and St Thomas' Hospital. He specializes in inherited retinal diseases and leads the Moorfields Electrophysiology Service. He holds honorary appointments at King's College London and Wills Eye Hospital, Philadelphia. Education includes: MB/PhD from University of Cambridge (2004) MA Cantab (2003) BA (Hons) from University of Cambridge (1999) Fellowship of the Royal College of Ophthalmologists (2012) Post-Graduate Certificate in Academic Practice from King's College London (2013) His research focuses on human retinal function using in vivo electrophysiology, retinal imaging, genetic investigation, and machine learning. Key areas include inherited retinal disease mechanisms, myopia development linked to retinal signaling, and neurological disease biomarkers. Research is funded by Wellcome Trust (£1.1M), Moorfields Eye Charity, Fight for Sight, Retina UK, and NIHR BRC. Recent publications (2023-2025) demonstrate strong focus on: Genetic characterization of retinal disorders Advanced imaging and AI-based phenotyping Electrophysiological standardization Population-specific variant analysis Multimodal diagnostic approaches Scientific awards include: Michael Sanders Award Lecture (2024) Fellowship of Royal Society of Biology (2023) Fellowship of Physiological Society (2023) Rising Star of the Year (2019) Wellcome Clinical Research Fellowship (2017-2022) Supervises doctoral candidates and research scientists in retinal neuroscience. Current lab members include Dr. Mark Simcoe (genetic epidemiology), Dr. Jim Bellingham (genetics of IRDs), and Dr. Sophie Glinton (AI/electrophysiology). Directs the Moorfields Macula Course and teaches in UCL's Visual Neuroscience module.

• Engineering Education
• Computational Thinking
• Learning Analytics
• +6 more

Alejandra Magana serves as the W.C. Furnas Professor in Enterprise Excellence of Applied and Creative Computing and Professor of Engineering Education at Purdue Polytechnic, Purdue University. She directs the ROCkETEd Lab and holds significant editorial roles including Deputy Editor for the Journal of Engineering Education and Co-Editor of the Education Department for IEEE Computer Graphics & Applications. Her leadership extends to multiple editorial boards in engineering and science education journals. Ph.D. in Engineering Education, Purdue University (2009) Post-doc in Engineering Education, Purdue University (2010) M.S. in Educational Technology, Purdue University (2007) M.S. in Electronic Commerce, Instituto Tecnologico y de Estudios Superiores de Monterrey (2003) B.S. in Information Systems Engineering, Instituto Tecnologico y de Estudios Superiores de Monterrey (2000) Magana's research focuses on how students develop computer and data science self-regulated learning skills through computational cognitive apprenticeship and authentic modeling practices. She investigates how learning analytics and AI can support student learning in computing-intensive domains and engineering thinking in K-12 education. Her work bridges educational theory with practical applications in STEM fields, emphasizing the integration of computational thinking across disciplines. She employs design-based research methodologies to create and evaluate innovative learning environments that leverage simulation, visualization, and emerging technologies. Analysis of Magana's recent publications reveals a strong emphasis on collaborative learning in digital environments, with growing attention to AI applications in education. Her work spans multiple domains including virtual reality for STEM education, teamwork dynamics in software development, AI ethics education, and computational thinking assessment for teachers. A consistent theme is the development of representational competence through modeling and simulation practices, with increasing integration of learning analytics to understand student cognition and team processes. Fellow Member, American Society for Engineering Education (2024) Fulbright Specialists Appointment (2024) Purdue Polytechnic Charles B. Murphy Outstanding Undergraduate Teaching Award (2021) W.C. Furnas Professorship (2020) Purdue University Faculty Scholar (2016) ASEE-ERM Apprentice Faculty Grant (2012) Magana leads multiple significant research grants totaling over $15 million, primarily from NSF, focusing on computational education, AI in learning environments, and engineering education transformation. Her ROCkETEd Lab serves as the hub for these research activities, which often involve interdisciplinary collaborations across engineering, computer science, and education. She has mentored numerous graduate students who appear as co-authors on her publications, though specific advising relationships aren't explicitly documented. Her research program demonstrates strong continuity from foundational work on modeling and simulation to current projects integrating generative AI and immersive technologies. The ROCkETEd Lab (Research in Organizing Computational Knowledge for Engineering Thinking and Education) functions as Magana's primary research unit, focusing on computational cognitive apprenticeship approaches. The lab investigates how students develop representational fluency through modeling and simulation practices, with recent expansion into AI-enabled learning environments. Current projects examine hidden curricula in computer science education, high-performance computing virtual environments for AI education, and culturally relevant programming learning experiences. The lab maintains strong industry and international partnerships, particularly with institutions involved in advanced manufacturing and educational technology development.

Charles BurantView profile

Professor

• Obesity
• Type 2 Diabetes
• Insulin Resistance
• +5 more

Charles Burant is Professor of Nutritional Sciences at the University of Michigan School of Public Health and holds a professorship in the Section of Metabolism, Endocrinology, and Diabetes within the Medical School's Department of Internal Medicine. He holds the endowed Dr. Robert C. and Veronica Atkins Professor of Metabolism chair. His clinical practice focuses on obesity, type 2 diabetes, and related metabolic disorders at the WK Kellogg Eye Center, Brehm Tower in Ann Arbor. Dr. Burant's research integrates multi-omic approaches (genomics, transcriptomics, proteomics, metabolomics) with clinical and behavioral phenotypes to unravel mechanisms of obesity, insulin resistance, and diabetes. His laboratory investigates pancreatic beta-cell metabolism, insulin secretion dynamics, and adult pancreatic progenitor cells for beta-cell regeneration. As director of the Michigan Metabolomics and Obesity Center (MMOC), he oversees the NIH-funded Nutrition Obesity Research Center and Michigan Regional Comprehensive Metabolomics Resource Core, providing critical infrastructure for metabolic disease research. The MMOC also coordinates the Investigational Weight Management Clinic, which combines clinical care with phenotypic tracking to study diabetes prevention and weight regain mechanisms in formerly obese patients. Analysis of his recent publications reveals dominant themes in multi-omic exercise physiology, causal metabolite-disease relationships, and tissue-specific metabolic adaptations. His work consistently emphasizes sexual dimorphism, temporal dynamics, and molecular mechanisms in metabolic disorders, particularly through large-scale consortia like MoTrPAC. Key focus areas include lipid metabolism in disease contexts, adipose tissue remodeling, and mitochondrial function across tissues. While no specific scientific awards beyond his endowed chair are listed, his leadership of major NIH-funded centers demonstrates significant recognition. His grant portfolio includes infrastructure support through the MMOC, NORC, and Metabolomics Resource Core, enabling extensive human and animal studies in metabolic diseases. Dr. Burant directs the MMOC's integration of research and clinical care through the Investigational Weight Management Clinic. His laboratory maintains active programs in insulin resistance mechanisms using animal models and explores pancreatic progenitor cell applications for diabetes therapy, representing forward-looking approaches to metabolic disease treatment.

Vlad-Costin AndreiView profile

Researcher

• Integrated Sensing and Communications (ISAC)
• Digital Twinning
• Neuromorphic Computing
• +5 more

Vlad-Costin Andrei is a Researcher at the Chair of Theoretical Information Technology , Technical University of Munich (TUM), specializing in wireless communication systems and digital twinning. He joined the ACES Lab (TUM's Chair of Theoretical Information Technology) in late 2021 after 3.5 years in the aerospace and defense industry. Research Focus: Joint Communications and Sensing (6G), Neuromorphic PHY Layer, Digital Twins, MIMO-OFDM Resilience Projects: 6G-life, 6G Future Lab Affiliation: ACES Lab, TUM His work bridges theoretical foundations with practical implementations, including demonstrations of digital twinning platforms and sensing-assisted receivers. Recent publications emphasize anti-jamming frameworks, federated learning over wireless networks, and trajectory optimization for UAV-enabled ISAC systems. Scientific Awards: Best Paper Award, IEEE Symposium on Joint Communications and Sensing (2023) His research is supported by third-party grants such as BMBF's 6G-life, DFG's Gottfried Wilhelm Leibniz Prize, and multiple collaborative projects.

Tami Brown-BrandlView profile

Professor

• Precision Livestock Farming
• Animal Behavior Monitoring
• Computer Vision in Agriculture
• +3 more

Tami Brown-Brandl is Professor and holder of the Dr. William E. and Eleanor L. Splinter Chair in Biological Systems Engineering at the University of Nebraska-Lincoln, where she conducts pioneering research at the intersection of agricultural engineering and animal science. Her research program focuses on: Computer vision systems for animal behavior monitoring Vibration-based vital signs detection in livestock Digital twin development for agricultural buildings RFID and sensor fusion for precision livestock farming Swine and beef cattle production optimization Individual animal identification using deep learning Recent publications (2023-2025) demonstrate a clear trajectory toward real-time, non-invasive monitoring systems using multi-modal sensor fusion. Her work integrates computer vision with ambient vibration analysis for piglet nursing behavior assessment, develops depth-image-based posture classifiers for sows, and creates digital twin frameworks that harness real-time data for precision livestock management. These innovations address critical challenges in animal welfare assessment and production efficiency through advanced engineering solutions. Dr. Brown-Brandl's leadership in precision livestock farming is evidenced by her extensive publication record on sensor systems development, with particular emphasis on practical applications for swine production systems including shoulder lesion detection, feeding behavior monitoring, and farrowing pen optimization.

Grzegorz BulajView profile

Associate Professor

• Digital Therapeutics
• Molecular-Behavioral Combination Therapies
• Pharmaceutical-Digital Integration
• +4 more

Grzegorz Bulaj serves as Associate Professor of Medicinal Chemistry and Adjunct Assistant Professor of Anesthesiology at the University of Utah's College of Pharmacy, with primary affiliation in the Biological Chemistry Program. His research bridges pharmaceutical sciences and digital health innovation through molecular-behavioral combination therapies. Dr. Bulaj's research focuses on integrating digital therapeutics with pharmaceutical interventions to treat chronic neurological and pain conditions. His work pioneers drug-device combination therapies where mobile medical applications and therapeutic video games serve as 'active ingredients' that complement traditional pharmacotherapies. Key research areas include digital epilepsy management, pain reduction through digital-pharmaceutical synergies, and cancer patient empowerment through mobile interventions. His conceptual framework of 'molecular-behavioral combination therapies' represents a paradigm shift in chronic disease treatment. Analysis of his publication record reveals a clear evolution from foundational neuropharmacology toward integrated digital health solutions. Since 2018, over 80% of his work centers on digital therapeutic applications, with increasing emphasis on biophilic design integration and pharmacy system transformation. His research consistently emphasizes patient empowerment through technology-enabled self-care practices across epilepsy, pain, depression, and cancer contexts. Dr. Bulaj actively develops novel therapeutic frameworks including: Prescription drug-use-related software integration per FDA guidelines Digital therapeutic prototypes for epilepsy management Preclinical validation of digital 'active ingredients' for pain reduction Retail pharmacy redesign for digital therapeutic distribution Biophilic home environments as therapeutic spaces His work demonstrates consistent translational focus from laboratory to real-world implementation, with multiple published prototypes and clinical validation studies.

Nóra Wünsch-NagyView profile

Assistant Professor

• Social Semiotics
• Multimodality
• Museum Education
• +4 more

Nóra Wünsch-Nagy is an Assistant Professor at the Department of English Applied Linguistics , Eötvös Loránd University , where she teaches within the School of English and American Studies . Her work bridges social semiotics , multimodal literacy , and museum education , focusing on interdisciplinary pedagogical frameworks. Research Focus: Multimodal meaning-making, Legitimation Code Theory (LCT), academic literacy, and arts integration Teaching Approach: Embodied museum-based learning, genre-informed pedagogy Methodologies: Social semiotic analysis, semantic wave theory, curriculum development Recent publications examine digital multimodal composition, exhibition reviews as academic writing, and visual literacy development. Her work emphasizes explicit knowledge structuring through LCT and Systemic Functional Linguistics , connecting classroom pedagogy with museum-based learning environments. Key Collaborations: Dániel Horváth (art education collaboration) Network of international researchers in multimodality and LCT Professional Platforms: ResearchGate Profile Publications Repository

Elizabeth SargentView profile

Assistant Professor

• Scholarship of Teaching and Learning
• Biogeochemistry
• Phytoplankton Ecophysiology
• +1 more

Elizabeth Sargent serves as an Assistant Professor in the School of Marine Science and Policy within the College of Earth, Ocean and Environment at the University of Delaware. Her office is located in 112B Robinson Hall on the Newark campus, with primary contact through esargent@udel.edu. Her academic credentials include: Ph.D. in Biological Oceanography from the University of Southampton, National Oceanography Centre (2014) B.A. in Marine Biology from Roger Williams University (2009) Dr. Sargent's research spans Scholarship of Teaching and Learning (SoTL), biogeochemistry, phytoplankton ecophysiology, and algal ecology. Her recent scholarship demonstrates a strategic pivot from marine biogeochemistry toward educational innovation, with concentrated focus on developing and evaluating Course-based Undergraduate Research Experiences (CUREs) and the Remote Mentoring of Undergraduate Research Students (ReMentURS) framework. She investigates pedagogical effectiveness across instructional modalities while maintaining connections to marine science through earlier foundational work. Publication trends reveal a distinct transition from marine biogeochemistry (2011-2016) to educational research dominance (2018-2023), particularly in forensic chemistry CURE development, remote mentoring infrastructure, and assessment of flipped instruction techniques. Current work emphasizes evidence-based STEM education practices with strong focus on accessibility and mentorship scalability. Scientific Recognition: No formal awards documented in provided materials Dr. Sargent actively cultivates undergraduate research capacity through structured mentoring initiatives and curriculum innovation. Her ReMentURS program addresses critical gaps in remote research guidance, while forensic chemistry CURE development expands authentic research opportunities at primarily undergraduate institutions. She contributes significantly to faculty development through workshop series on mentoring best practices and evidence-based teaching strategies.

• First language acquisition
• Tense and aspect
• Telicity
• +7 more

Dr. Angeliek van Hout is a faculty member at the University of Groningen's Faculty of Arts, where she leads the Acquisition Lab within the Center for Language and Cognition Groningen (CLCG). Her academic profile centers on experimental research into first language acquisition in typically developing monolingual children, employing a crosslinguistic perspective to investigate fundamental aspects of language development. Her research expertise spans multiple interconnected domains of linguistic development: Temporal reference (tense and aspect, telicity, event culmination) Nominal reference (definiteness, quantification) Syntactic structures (questions, passives, pronouns) Pragmatic reasoning (scalar implicatures, theory of mind) Dr. van Hout's methodological approach integrates formal linguistic theory with empirical experimentation, examining how children acquire complex linguistic structures across different languages. Her recent work demonstrates particular focus on logical operators and their interpretation in child language, with extensive crosslinguistic comparisons examining how children process disjunction under negation in Dutch, French, Hungarian, and Italian. She investigates the cognitive mechanisms underlying these linguistic phenomena, bridging theoretical linguistics with cognitive science. Her publication record shows consistent productivity with 89 research outputs including 25 articles, 23 conference contributions, and 20 book chapters. Notable recent publications include work on prosodic disambiguation in Dutch, free choice interpretation in French children, and crosslinguistic patterns in quantifier acquisition. Dr. van Hout actively contributes to the academic community through: Supervision of PhD students (4 supervised works documented) Editorial work including the TABU Festschrift for Jack Hoeksema Organizing academic events such as "Novel Semantic Research in Theory, Processing and L1 Acquisition" Presenting research at international conferences including the Boston University Conference on Language Development Her research has practical applications in understanding typical language development trajectories, which she communicates to broader audiences through public engagement activities. She has presented on language development in twins at multiple public events and participated in the NEMO Science Live initiative from 2016-2018, demonstrating commitment to knowledge transfer beyond academic circles. As leader of the Acquisition Lab, Dr. van Hout directs research examining how children develop linguistic competence across various domains, with particular attention to the interface between syntax, semantics, and pragmatics in early language development.

Srishti YadavView profile

Research Fellow

• AI and Society
• Machine Learning
• Computer Science
• +3 more

Srishti Yadav is a Research Fellow at the University of Copenhagen and University of Amsterdam , affiliated with the Pioneer Centre for AI and ILLC respectively. She is advised by Dr. Serge Belongie and Dr. Ekaterina Shutova . Education: M.Sc. (Research-Track) in Computing Science, Simon Fraser University , Canada Research Interests: AI and Society Cross-Cultural Competency in Multimodal Models AI Safety and Evaluation Frameworks Model Interpretability and Dataset Creation Scientific Awards: ELLIS PhD Fellowship Advising & Community: Board Member, Women in Computer Vision (WiCV) Advisor for WiCV@ICCV2023 and WiCV@CVPR 2021 Chaired workshops at CVPR 2024, CVPR 2023, CVPR 2020 Labs & Teams: Belongie Lab (University of Copenhagen) Shutova Lab (University of Amsterdam) Collaborator at MILA Biodiversity Monitoring Project

• Oncology
• Radiotherapy
• Palliative Care
• +4 more

Astrid Dalhaug serves as a University Lecturer at the Department of Clinical Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway. Her academic work focuses on clinical oncology with particular emphasis on cancer treatment outcomes in rural healthcare settings across Northern Norway. Dr. Dalhaug's research interests center on oncology, specifically radiotherapy, palliative care, and survival prediction models for cancer patients. Her work frequently addresses the challenges of delivering quality cancer care in remote regions with scattered populations. She investigates prognostic factors in various cancer types including prostate cancer, lung cancer, and brain metastases, with special attention to biomarkers, treatment fractionation, and demographic variables that influence patient outcomes. Analysis of her publication record reveals a consistent focus on developing and validating practical prognostic tools for clinical use, particularly the LabPS and LabBM scores. Her research demonstrates how serum biomarkers can enhance survival prediction accuracy across different cancer types and metastatic presentations. A distinctive feature of her work is the examination of rural healthcare delivery challenges and their impact on cancer treatment outcomes in Northern Norway's unique geographical context. Dr. Dalhaug maintains a highly productive research collaboration, most notably with Carsten Nieder, with whom she has co-authored numerous studies across multiple cancer types and treatment modalities. Her work spans clinical trials, retrospective analyses, and validation studies that contribute significantly to evidence-based oncology practice, particularly in resource-limited or geographically isolated settings.

Marilyn N. LingView profile

Associate Professor

• Radiation Oncology
• Breast Cancer
• Radiation Treatment Modalities
• +3 more

Marilyn N. Ling, M.D., is an Associate Professor of Radiation Oncology at the University of Rochester Medical Center's School of Medicine and Dentistry. She is actively involved in clinical practice and research, focusing on breast cancer treatment and radiation therapy innovations. Board-certified by the American College of Radiology Co-Medical Director of the Integrative Oncology and Wellness Center Member of the American Society for Therapeutic Radiology and Oncology Education: B.A. in Biology, Williams College (1983) Certificat de Merité, Cordon Bleu Académie Cuisine (1984) M.D., University of Maryland School of Medicine (1988) Residency in Radiation Oncology, Johns Hopkins Hospital (1989-1992) Research Interests: Dr. Ling specializes in advanced radiation treatment modalities, including stereotactic body radiotherapy and intensity modulated radiotherapy. Her work addresses breast cancer management, focusing on breast conserving therapy, reconstruction techniques, and mitigation of radiation therapy side effects such as bone loss, nausea, radiation dermatitis, and fatigue. She has contributed extensively to integrative approaches in oncology. Scientific Awards: Angel Award (2016) Jacob Gitelman Award (2016) Heart & Hands Award (2013) Rubin-Mitchell Teaching Award (2004) Publications Trends: Dr. Ling's research spans clinical trials (curcumin for radiation dermatitis), technical advancements (IMRT dosimetry), and integrative medicine applications in oncology. Her work emphasizes patient-centered outcomes, particularly in breast cancer survivorship and symptom management.