جست‌وجوی استاد و پژوهشگر

Samuel Aaron Funtمشاهده پروفایل

استادیار

• Oncology
• Genitourinary Oncology
• Cancer Research
• +۳ مورد دیگر

Samuel Aaron Funt is an Assistant Professor in the Department of Medicine at Memorial Sloan Kettering Cancer Center (MSK), specializing in Genitourinary Oncology. He serves as an Assistant Attending physician with primary affiliation to the Solid Tumor Oncology Division and Genitourinary Oncology Service. His clinical practice focuses on treating patients with germ cell tumors and urothelial carcinomas within one of the world's leading cancer treatment institutions. Dr. Funt's research centers on genitourinary malignancies with particular emphasis on germ cell tumors and urothelial carcinomas. His work spans clinical outcomes research, predictive modeling of treatment response, quality of life assessments, and management of treatment-related toxicities. He has developed expertise in analyzing performance characteristics of predictive models for surgical pathology following chemotherapy, establishing baseline quality-of-life metrics for testicular cancer patients, and evaluating cutaneous toxicities associated with novel immunotherapy combinations. His research bridges clinical oncology with quantitative methods to improve decision-making for complex cancer cases. Analysis of Dr. Funt's recent publications reveals a strong focus on improving clinical decision-making through data-driven approaches. His work demonstrates integration of patient-reported outcomes with traditional efficacy metrics, recognizing quality of life as critical to comprehensive cancer care. The research shows particular attention to predictive modeling for surgical pathology after chemotherapy, quality of life assessment in germ cell tumor patients, and documentation of toxicities with emerging immunotherapies like enfortumab vedotin and pembrolizumab combinations. Dr. Funt maintains a robust collaborative network at MSK with extensive partnerships including Dr. Darren Feldman (47 collaborations), Dr. David Sheinfeld (23 collaborations), and Dr. George Bosl (21 collaborations). His work appears predominantly in the Journal of Clinical Oncology (72 publications), with additional contributions to Annals of Oncology, Clinical Cancer Research, and European Urology. His research program is well-integrated within the Solid Tumor Oncology Division, contributing to both clinical care protocols and scholarly advancement in genitourinary malignancies.

Susannah Bourne-Worsterمشاهده پروفایل

پژوهشگر ارشد

• Computational Chemistry
• Photochemistry
• Photophysics
• +۴ مورد دیگر

Dr Susannah Bourne-Worster is a computational chemist and Royal Society University Research Fellow at Durham University, where she also holds a proleptic appointment as Assistant Professor in Computational Chemistry/Data Science. Her research focuses on understanding how the photochemistry and photophysics of molecules are influenced by their environments, particularly in the context of sustainable solar energy materials inspired by natural photosynthesis. Education: MChem at University of Oxford, DPhil in Theoretical and Biophysical Chemistry at University of Oxford Her work involves high-quality simulations of photoexcited molecules to explore environmentally controlled light-driven processes. She has developed fast methods for excited-state evaluations and applied quantum dynamics to large biological systems. Her recent publications span topics like ultrafast photochemical dynamics , excited-state proton transfer , and charge transfer mechanisms , emphasizing computational approaches to model complex systems. Scientific Awards: Royal Society University Research Fellowship (2024), Royal Commission for the Exhibition of 1851 Fellowship (2018) The Bourne-Worster group at Durham is actively recruiting researchers and supporting applications for fellowships such as the Royal Society, Marie Sklodowska-Curie, and Leverhulme schemes, highlighting their commitment to inclusive and collaborative research.

Gisele Azimiمشاهده پروفایل

استاد

• Process Engineering
• Electrochemistry
• Materials Science
• +۷ مورد دیگر

Professor Gisele Azimi holds a joint appointment in the Department of Chemical Engineering & Applied Chemistry and Materials Science and Engineering at the University of Toronto . She serves as co-Director of the Ontario Centre for the Characterization of Advanced Materials (OCCAM) and holds the Canada Research Chair in Urban Mining Innovation . Her research program integrates Process Engineering , Electrochemistry , and Materials Science to develop sustainable technologies for strategic material recovery and next-generation battery systems. Ph.D. (University of Toronto), M.A.Sc. & B.A.Sc. (Sharif University of Technology) Postdoctoral Researcher at MIT Research Focus : Urban mining and advanced recycling of Waste Electrical and Electronic Equipment (WEEE) Supercritical fluid extraction for metal recovery from primary/secondary resources Post-lithium rechargeable batteries (aluminum-ion, aqueous systems) Functionalized membranes and scale-phobic surfaces for industrial applications Carbon sequestration via supercritical carbonation of steelmaking slag Recent Publication Trends : Development of supercritical CO2 methods for rare earth element extraction Advancements in aluminum-ion battery cathodes (graphitic materials, MnO2 intercalation) Electrodialysis and chelation-based separations for REE purification Technoeconomic analyses of green metallurgical processes Focus on Canadian ores and South American ionic clays Recycling of EV battery materials (NMC, LFP) and fluorescent lamps Scientific Distinctions : Recipient of CSChE Innovation Award (2020) and Burgess Teaching Award (2019) Canada Research Chair (2020) and Dean’s Spark Professorship (2018) Multiple featured cover articles in Advanced Energy Materials , ACS Sustainable Chemistry & Engineering , and Rare Metal Technology Advisory & Collaborative Networks : Current supervision of 14 Ph.D. candidates and 2 M.Eng students Alumni include Dr. William Judge (Tenova Goodfellow), Dr. Jihye Kim (Colorado School of Mines), and Dr. Monu Malik (Senior Research Associate) Collaborative lab facilities: OCCAM , ANALEST , and Surface Interface Ontario

Michael E. Beckمشاهده پروفایل

استاد

• Computational Chemistry
• Quantum Chemistry
• Molecular Modeling
• +۴ مورد دیگر

Michael E. Beck holds an Honorary Professorship ( Prof. h.c. ) in the Faculty of Chemistry and Chemical Biology at Technische Universität Dortmund, with his primary professional base at Bayer AG's CropScience division in Monheim am Rhein where he leads Computational Life Science research. Dr. Beck's research program integrates computational chemistry, quantum mechanics, and molecular modeling to address complex problems in drug design and chemical biology. His expertise spans quantum computing applications for chemical simulations, molecular recognition mechanisms, enzyme-inhibitor interactions, and the development of novel computational methodologies. Recent work demonstrates particular strength in applying first-principles quantum mechanical approaches to pharmaceutical challenges including cancer therapeutics and pesticide design. Analysis of Dr. Beck's publication record (2003-2023) reveals an evolving research trajectory from fundamental quantum chemistry methods toward increasingly translational applications. His most recent work (2020-2023) shows strong emphasis on bridging theoretical computational approaches with practical solutions in agricultural science and medicine, particularly through industry-academic collaboration between TU Dortmund and Bayer AG. Dr. Beck maintains productive research collaborations across multiple institutions, as evidenced by his diverse co-authorship network including the Rauh lab at TU Dortmund and international research groups. His dual affiliation represents a strategic partnership that effectively connects academic research with industrial applications in molecular modeling for drug and pesticide development.

Leif Dehmeltمشاهده پروفایل

پژوهشگر

• Cell Biology
• Signal Transduction
• Optogenetics
• +۳ مورد دیگر

Dr. Leif Dehmelt is a researcher in the Department of Chemical Biology at TU Dortmund University , focusing on cell shape dynamics and signal network regulation. His work combines optogenetics , microscopy-based perturbations , and theoretical modeling to study self-organizing cellular systems. Research Interests : Decoding how Rho GTPase networks coordinate cell protrusion-retraction cycles Investigating excitable signaling systems in subcellular contraction patterns Developing light-controlled molecular tools (e.g., Molecular-Activity Painting) for cellular manipulation Exploring cytoskeletal self-organization in neuronal and epithelial cell development Methodological Focus : Acute experimental perturbations Computational modeling of reaction-diffusion dynamics High-resolution live cell imaging Interdisciplinary approaches bridging chemistry and biology Dr. Dehmelt actively seeks collaborators and students for his lab. His research contributes to understanding how molecular networks generate complex cellular behaviors, with implications in cancer and developmental disorders .

Mateja Đumićمشاهده پروفایل

استادیار

• Genetic algorithms
• Genetic programming
• Resource constrained project scheduling problem
• +۳ مورد دیگر

Mateja Đumić is an Assistant Professor at the School of Applied Mathematics and Informatics , Josip Juraj Strossmayer University of Osijek, Croatia. With a PhD in Computing from University of Zagreb (2020) and MSc/BSc in Mathematics from University of Osijek, she specializes in genetic programming , automated heuristic design , and combinatorial optimization problems. PhD in Computing (2020), University of Zagreb MSc in Mathematics (2014), University of Osijek BSc in Mathematics (2011), University of Osijek Her research focuses on solving container relocation problems and resource-constrained scheduling through evolutionary computation techniques. She has pioneered automated design of relocation rules using genetic programming , achieving superior performance over manual methods while exploring multi-objective optimization (including energy consumption), ensemble learning for heuristic improvement, and rollout algorithms to enhance solution quality. Recent work demonstrates how genetic programming can outperform traditional metaheuristics in maritime logistics, while her 2024 studies investigate multitask learning approaches for container relocation scenarios. She also explores fitness landscape analysis to optimize genetic programming parameters and develops automated priority rules for both static and dynamic scheduling environments. Professor Đumić teaches computer science , heuristic algorithms , database systems , and mathematical competitions at both undergraduate and graduate levels. She actively participates in international conferences including GECCO , CEC , and COST Action Training Schools .

Cécile Duchêneمشاهده پروفایل

مدرس

• GIS
• Cartography
• Spatial Analysis
• +۷ مورد دیگر

Cécile Duchêne is a lecturer and researcher at Gustave Eiffel University , affiliated with the National School of Geographic Sciences (ENSG) and the LaSTIG Laboratory 's MEIG team. With expertise in GIS, cartography, spatial analysis, and multi-agent systems, her work focuses on semantic enhancement of geographic data, qualitative spatial reasoning, and automated cartographic generalization.

• Mathematical Biology
• Computational Biology
• Stochastic Modeling
• +۱۲ مورد دیگر

Tomás Alarcón is an ICREA Research Professor at the Centre de Recerca Matemàtica (CRM) in Barcelona, Spain. He leads the Cancer Modeling Group and serves as Deputy Director of CRM since 2016. His work bridges mathematical biology, computational modeling, and biomedical applications. PhD in Theoretical Physics from the University of Barcelona (2000) Postdoctoral appointments at University of Oxford, University College London, and Imperial College London ICREA Research Professorship at CRM (2015–present) Research Interests: Dr. Alarcón specializes in multiscale modeling of tumor growth, stochastic processes in cell reprogramming, hybrid simulation methods , and microfluidic biophysics . His work integrates mathematical frameworks with biological complexity across spatial and temporal scales. Article Trends: Recent publications focus on chromatin folding , epigenetic landscapes , and angiogenesis mechanisms . Key themes include metabolic-cancer interactions , stochastic bistability , and computational immunology . Collaborations span institutions like the University of Oxford, UCL, and Heidelberg University. Scientific Leadership: As Deputy Director of CRM and member of the Catalan Mathematical Society's Scientific Committee, he has shaped mathematical biology research agendas. His advisory role extends to 15+ PhD/MSc students , now active across global institutions.

Dominik Marxمشاهده پروفایل

استاد

• Ab initio simulations
• Path integrals
• Machine learning
• +۵ مورد دیگر

Professor Dominik Marx is Chair of Theoretical Chemistry at the Faculty of Chemistry and Biochemistry, Ruhr-Universität Bochum. His research group focuses on understanding the structure, dynamics, nuclear quantum effects and chemical reactions of complex molecular many-body systems using advanced computational methods. He is deeply involved with the RESOLV Cluster of Excellence and the Center for Solvation Science (ZEMOS). Marx's research spans multiple areas of theoretical and computational chemistry with emphasis on ab initio simulations , path integrals , and machine learning techniques. His work bridges chemistry and physics by developing and applying atomistic simulation methods that capture nature as closely as possible through theoretical means. The group specializes in quantum mechanical computer simulations that include dynamics and nuclear quantum effects without empirical parameterization. His recent publications reveal strong trends toward high-accuracy machine learning potentials that achieve coupled cluster accuracy for molecular dynamics simulations. This includes groundbreaking work on neural network potentials (RubNNet4MD) that enable Coupled Cluster Molecular Dynamics (CCMD) of condensed phase systems. His research increasingly focuses on solvation science, nanoconfined water chemistry, and quantum simulations of reactive systems in extreme environments like superfluid helium. PRL Editors' Suggestion for 'Coupled Cluster Molecular Dynamics of Condensed Phase Systems Enabled by Machine Learning Potentials: Liquid Water Benchmark' Professor Marx leads an active research group that develops and applies advanced simulation techniques to diverse chemical systems. His group is part of several major collaborative research projects including the RESOLV Cluster of Excellence EXC 2033, RTG 2376 'Confinement-controlled Chemistry', and various Volkswagen-Stiftung projects. The Marx Group operates within the Center for Solvation Science ZEMOS, which provides state-of-the-art high-performance computing infrastructure for molecular dynamics and electronic structure calculations.

• Molecular Biology
• DNA Recombination
• Enzyme Mechanisms
• +۲ مورد دیگر

Dr. Martin Boocock is an Honorary Research Fellow at the University of Glasgow's School of Molecular Biosciences, based at the Institute of Molecular, Cell & Systems Biology (Bower Building, R504 Level 5). His research focuses on molecular mechanisms of DNA recombination, with specialized expertise in serine recombinases and their roles in genetic rearrangements. Boocock's investigations span enzyme kinetics, structural biology of recombination complexes, and functional analysis of DNA-protein interactions. His work characterizes catalytic mechanisms of serine recombinases, topological regulation of DNA strand exchange, and the molecular architecture of recombination synapses. Key research areas include: Structural dynamics of recombinase-DNA complexes Mechanisms of antibiotic resistance gene mobilization Enzyme oligomerization and allosteric regulation Single-molecule analysis of recombination events Catalytic activation pathways in site-specific recombination His publication record (2008-2024) demonstrates consistent focus on recombination mechanisms, with recent work advancing single-molecule observation techniques. Articles frequently integrate structural biology (cryo-EM, crystallography) with biochemical validation to elucidate serine recombinase functionality across bacterial systems and synthetic constructs.

• Data Analytics
• Causal Machine Learning
• Policy Evaluation
• +۷ مورد دیگر

Anthony Strittmatter is a Professor of Applied Econometrics at UniDistance Suisse in Brig/Valais. His research integrates causal machine learning and microeconometric policy evaluation to analyze experimental and non-experimental data in labor economics, business economics, and health economics. He is affiliated with the Institut des Politiques Publiques (IPP) , Swiss Institute for Empirical Economic Research (SEW-HSG) , and the CESifo Network . Education : Diploma in Economics (2009, Albert-Ludwigs University Freiburg); Ph.D. in Economics and Finance (2013, University of St. Gallen) under Prof. Bernd Fitzenberger and Prof. Michael Lechner. His research focuses on heterogeneous policy effects , optimal allocation rules , and causal machine learning applications. Recent work includes studies on gender pay gaps using big data, labor market sorting , and ramadan fasting’s impact on terrorism . Articles often employ Lasso-type estimators , changes-in-changes methodologies , and empirical Monte Carlo simulations . Current projects involve training voucher allocation , decision-making speed in professional chess , and causal effects of public health care systems on economic development. His GitHub repositories include educational materials for machine learning in economics and econometrics.

• Bioinorganic Chemistry
• Photosynthesis
• Water Oxidation
• +۶ مورد دیگر

Johannes Messinger is a Visiting Professor at Uppsala University's Ångström Laboratory, Department of Chemistry, specializing in molecular biomimetics and biophysical/bioinorganic chemistry. His research focuses on understanding the fundamental mechanisms of photosynthetic water oxidation in Photosystem II, particularly the structural and electronic properties of the Mn 4 CaO 5 oxygen-evolving complex. Institutional Affiliation: Uppsala University (Ångström Laboratory) Academic Rank: Visiting Professor Research Focus: Photosynthesis, water oxidation catalysis, bioinorganic chemistry, X-ray spectroscopy Messinger's work investigates substrate water exchange dynamics, proton transport mechanisms, and electronic structure of metal clusters in photosynthesis using advanced techniques like X-ray free-electron lasers and membrane-inlet mass spectrometry. His recent studies reveal structural isomers in catalytic cycles and elucidate oxygen formation mechanisms through femtosecond X-ray crystallography. The articles demonstrate expertise in analyzing photosynthetic water oxidation through both experimental and theoretical approaches. His research spans: Bioinorganic and structural chemistry of metalloenzymes Photosystem II functional analysis Time-resolved spectroscopic studies Artificial photosynthesis and solar fuels Electrocatalytic water splitting systems The 15 most recent articles show strong emphasis on X-ray absorption/emission spectroscopy (2025-2023), structural analysis of Mn 4 Ca clusters (2024), and substrate water exchange mechanisms (2023-2012). Key subfields include oxygen-evolving complex structure, proton/water channel dynamics, and catalytic reaction mechanisms.

• Financial Markets
• Corporate Governance
• International Financial Reporting
• +۲ مورد دیگر

Helena Oliveira Isidro is a Full Professor in the Accounting Department at Iscte Business School (IBS), ISCTE-IUL, Lisbon. She serves as Deputy Director and Integrated Researcher at BRU-Iscte (Business Research Unit) and leads the Finance Group. She holds a PhD in Accounting and Finance from Lancaster University (2005) and an Aggregation in Accounting from ISCTE-IUL (2015). Her prior affiliations include Bayes Business School (London), University of Miami (Fulbright Scholar), and University of Sydney. Her research focuses on financial markets , corporate governance , international financial reporting , ESG investing , and voluntary disclosure . She publishes in top-tier journals and presents at major conferences (e.g., European Accounting Association, American Accounting Association). Her work influences organizations like the International Accounting Standards Board (IASB) and CFA Institute. Her publications emphasize accounting regulation, corporate transparency, and market behavior, with recent work exploring ESG disclosure, covenant-lite bonds, and post-bankruptcy finance. She has authored 38+ articles and a book on non-GAAP financial measures. Awards & Honors: Best European PhD Thesis in Management (EDAMBA) Fulbright Scholarship Best conference paper awards Best reviewer awards She has managed FCT-funded research projects and European Training Networks. She serves as Associate Editor for European Accounting Review and Accounting Business Research and evaluates PhD grants for academic panels. At BRU-Iscte, she collaborates on international research initiatives and mentors doctoral candidates. No specific labs or teams are detailed, but she frequently partners with global institutions.

• Polymer Chemistry
• Surface Science
• Nanomaterials
• +۵ مورد دیگر

Philippe Roger is a Professor at Université Paris-Saclay, affiliated with the Faculty of Sciences and Department of Chemistry. He is based at the Institut de Chimie Moléculaire et des Matériaux d'Orsay (ICMMO - UMR 8182) in Building 670, Bureau 1206 (17-19 Avenue des Sciences, 91400 Orsay, France). His research is conducted within the SM2ViE team (Synthèse, Molécules et Matériaux pour le Vivant et l'Environnement), focusing on advanced polymer and material science. His research spans Polymer Chemistry , Surface Science , and Nanomaterials , with emphasis on stimuli-responsive polymers, antimicrobial surfaces, polymer brushes, and catalytic materials. Key methodologies include atom transfer radical polymerization (ATRP), plasma deposition, and supramolecular assembly. His work bridges fundamental chemistry with applications in environmental remediation, biomedical materials, and sustainable technologies. Recent publications (2021-2025) reveal strong trends in functional polymer synthesis (e.g., pH-responsive nanoparticles, active ester copolymers), surface modification (PET functionalization via plasma/ATRP), and nanomaterial applications (quantum dot sensors, silver nanoparticle antimicrobials). Interdisciplinary collaborations dominate his work, particularly in developing eco-friendly processes and advanced catalytic systems. While no formal awards are listed in available materials, his prolific publication record in high-impact journals (Nature Communications, ACS Applied Polymer Materials, European Polymer Journal) demonstrates significant scholarly contribution. His laboratory work centers on the SM2ViE team at ICMMO, utilizing platforms for polymer synthesis, surface characterization (XPS, ellipsometry), and nanomaterial development. Current projects emphasize sustainable material design, including waste PET valorization and biobased antimicrobial networks.

Ernst-Walter Knappمشاهده پروفایل

استاد

• Computational Chemistry
• Biochemistry
• Molecular Dynamics
• +۴ مورد دیگر

Prof. Dr. Ernst-Walter Knapp is a Chemistry professor at the Free University of Berlin, specializing in Physical & Theoretical Chemistry. His research focuses on computational chemistry, biochemistry, and molecular dynamics, with an emphasis on protein structure, redox potential, and electrostatic modeling. Education: PhD in Computational Chemistry Knapp's lab developed tools like mFES for finite element electrostatics and DOOP for protein structure prediction. His work spans Protein Electrostatics , Redox Potential Analysis , and Cholesterol Transfer Pathways in lysosomal disorders. Key publication trends include 2018 studies on NPC1 protein , 2016 solvation models , and 2015 docking algorithms . His articles frequently address protonation states , electron transfer , and binding energy calculations . Knapp's lab collaborates on interdisciplinary projects in Structural Biology and Theoretical Biophysics , integrating quantum chemistry with experimental data for photosynthesis and metalloprotein research.