جست‌وجوی استاد و پژوهشگر

Luis-Miguel CHEVINمشاهده پروفایل

پژوهشگر

• Adaptive Evolution
• Phenotypic Plasticity
• Eco-evolutionary Dynamics
• +۱۱ مورد دیگر

Luis-Miguel CHEVIN is a CNRS Research Director at the Centre d'Écologie Fonctionnelle et Évolutive (CEFE) in Montpellier, France, where he leads research in evolutionary and behavioral ecology, focusing on adaptation to changing environments. He is affiliated with the Genetics and Evolutionary Ecology group within the Department of Evolutionary and Behavioral Ecology. His work integrates theoretical modeling, experimental evolution using the microalga Dunaliella salina , and analysis of natural populations. His research interests include adaptive evolution, phenotypic plasticity, eco-evolutionary dynamics, evolutionary rescue, and the genetics of adaptation. He investigates how organisms adapt to fluctuating environments, combining quantitative genetics, population modeling, and empirical studies. His work spans molecular, physiological, and population levels, with a strong emphasis on predicting evolutionary responses under environmental change. The recent publications highlight a consistent focus on phenotypic plasticity, environmental predictability, experimental evolution, and the demographic consequences of adaptation. Themes include multi-level plasticity, programmed cell death in unicellular organisms, fluctuating selection, and genotype-phenotype mapping. His work increasingly integrates omics data with evolutionary theory. ERC Starting Grant (FluctEvol, 2016–2021) Newton International Fellow, Imperial College London (2009–2011) Selected by Faculty of 1000 (2010, 2013, 2016) He advises multiple postdoctoral researchers and students, and leads or participates in funded projects such as ComplexAdapt (2022–2024), InterAdapt (2021–2022), and previously ContempEvol (2011–2015) and EvolMarin (2015–2018). He is also the head of the French network GDR PlasPhen (2019–2023) and served as Associate Editor for Evolution (2016–2018). His lab combines theoretical and experimental approaches to study adaptation in real and simulated environments.

Mareike Albertمشاهده پروفایل

استاد

• Epigenetics
• Neural Development
• Neocortex Evolution
• +۳ مورد دیگر

Mareike Albert is a Professor of Epigenomics of Neural Development at the Faculty of Biology, Center for Regenerative Therapies Dresden (CRTD), TU Dresden. Her research focuses on understanding the epigenetic mechanisms regulating neural stem cells during human neocortex development and evolution, with implications for neurodevelopmental disorders. She leads the Albert Group, which utilizes in vivo models and in vitro human iPSC-derived 3D brain organoids. Education: PhD (2008, Friedrich Miescher Institute, Basel), MSc (2003, Curtin University), Diploma (2001, Friedrich Schiller University) Positions: Professor (2024-), Research Group Leader (2019-), Staff Scientist (2013-2018, MPI-CBG) Her work explores neocortex evolution through species-specific gene regulatory elements like ARHGAP11B and NOTCH2NL, differential chromatin dynamics, and the role of epigenetic mis-regulation in neuropathologies. Recent publications investigate EPIREGULIN's role in primate-specific progenitor proliferation and CRISPR/Cas9-based epigenome manipulation. Research methodologies include: Human cortical organoid generation CRISPR/Cas9 genome/epigenome editing Single-cell epigenomic analysis (Epi-CyTOF) Multi-omics profiling (RNA-seq, ChIP-seq, ATAC-seq)

• Theoretical Biology
• Evolutionary Biology
• Molecular Systems Evolution
• +۳ مورد دیگر

Fernanda Giersdorf is a Researcher at the Department of Theoretical Biology, Max Planck Institute for Evolutionary Biology, affiliated with the Molecular Systems Evolution research group. She is based at the institute's campus in Plön, Germany. Her research interests lie in the intersection of Theoretical Biology and Evolutionary Biology, focusing on Molecular Systems Evolution. This field involves computational and mathematical modeling to understand evolutionary processes at the molecular level.

Ron D. Jachimowiczمشاهده پروفایل

دانشیار

• DNA repair
• Genome stability
• Aging
• +۴ مورد دیگر

Ron D. Jachimowicz is a Max Planck Research Group Leader specializing in DNA repair mechanisms and their relationship to aging and cancer development. As a Privatdozent (equivalent to Associate Professor), he leads an independent research group at the Max Planck Institute focused on understanding how DNA repair pathways impact genome stability, aging processes, and cancer progression. His work bridges basic science with clinical applications, particularly in lymphoma research. Dr. Jachimowicz's research centers on the critical relationship between DNA repair mechanisms and aging. His group investigates defects in DNA repair pathways in patients with genome instability syndromes and in patients suffering from mantle cell lymphoma, utilizing an interdisciplinary approach that combines biochemistry, cell biology, computational biology, and mouse genetics. Key research areas include the role of UBQLN4 in DNA repair pathway choice, ATM signaling in DNA damage response, and the connection between genome maintenance defects and age-related diseases. His work has revealed important mechanisms linking DNA repair deficiencies to cancer development, particularly in lymphomas, and has identified potential therapeutic targets for cancer treatment. Analysis of Dr. Jachimowicz's publication record shows a consistent focus on DNA repair mechanisms and their implications for cancer biology. His research demonstrates how defects in DNA repair pathways lead to genome instability, which drives both aging processes and cancer development. Recent publications highlight his work on UBQLN4's role in DNA repair pathway choice, ATM signaling in immune surveillance of lymphoma, and the development of targeted therapies for cancers with specific DNA repair deficiencies. His interdisciplinary approach combines molecular biology, mouse models, and clinical data to translate basic discoveries into potential therapeutic strategies. Scientific Awards: Theodor Frerichs Prize from the German Society for Internal Medicine (DGIM), 2020 Dr. Jachimowicz serves as principal investigator for multiple significant research grants and advises doctoral students in his laboratory. His research is supported by prestigious funding including the German Research Foundation (DFG) Research Unit FOR5504 (2023-2026), Collaborative Research Center SFB1530 (2022-2025), and the Research Network CANTAR from the Ministry of Culture and Science of North Rhine-Westphalia (2022-2026). He also serves as co-speaker for the Else Kröner Research College on Clonal Evolution in Cancer. His doctoral student Julia Hansen received a scholarship from the German Academic Scholarship Foundation in 2022. Dr. Jachimowicz leads a dynamic research laboratory focused on DNA repair mechanisms and their relationship to aging and cancer. His group employs a comprehensive interdisciplinary approach that integrates biochemical, cellular, computational, and genetic techniques to investigate how defects in DNA repair pathways contribute to genome instability syndromes and cancer development. The lab's work has particular relevance for understanding mantle cell lymphoma and developing targeted therapeutic interventions based on DNA repair deficiencies.

Haike Antelmannمشاهده پروفایل

استاد

• Oxidative Stress Physiology
• Redox Biology
• Bacterial Pathogens
• +۳ مورد دیگر

Prof. Dr. Haike Antelmann holds the W3-Professorship for Molecular Microbiology at the Institute of Biology-Microbiology, Freie Universität Berlin since 2015. She previously served as group leader at the Ernst-Moritz-Arndt-University of Greifswald (2006-2015) and completed her Habilitation there in 2009. Her research focuses on microbial redox biology, thiol-based stress responses in Gram-positive pathogens like Staphylococcus aureus and Streptococcus pneumoniae , and proteomic analysis of bacterial adaptation mechanisms. Key contributions include elucidating bacillithiol/mycothiol roles in protein protection and redox signaling. Education: PhD (1998) and Habilitation (2009) from Ernst-Moritz-Arndt-University Greifswald, specializing in bacterial proteomics and stress physiology. Notable awards include the ERC Consolidator Grant (2013) and AcademiaNet membership (2015). She serves on editorial boards of BMC Microbiology , Molecular Microbiology , and Scientific Reports . Research interests emphasize thiol-redox regulation in pathogenesis, including protein S-thiolation under oxidative/electrophilic stress and bacterial responses to host immune defenses. Her lab investigates bacillithiol's role in virulence and antibiotic tolerance, with recent work on allicin mechanisms and neutrophil phagosome interactions. Lab members: Postdocs (Eberhard Klauck, Vu Van Loi), PhD students (Huihui Li), and technical staff (Zeynep Gümüsboga) Key techniques: Proteomics, redox biosensors, transcriptomics, bacterial physiology studies Collaborations: GBM Study Group on Redox Biology, SPP1710 projects Recent articles highlight Staphylococcus aureus adaptation to host-derived stressors (hypothiocyanous acid, itaconic acid) and mechanisms of antimicrobial resistance. Her work bridges basic microbiology with translational applications in infectious disease intervention.

Tianbai Xiaoمشاهده پروفایل

پژوهشگر

• Numerical Analysis
• Applied Mathematics
• Kinetic Theory
• +۷ مورد دیگر

Tianbai Xiao is a Researcher at the Karlsruhe Institute of Technology (KIT) within the Department of Mathematics and Steinbuch Centre for Computing. His work spans mesoscopic science , uncertainty quantification , and scientific machine learning , focusing on multi-scale, multi-physics problems in flow transport. His research in kinetic theory addresses nonlinear partial differential equations, hyperbolic conservation laws, and the unified modeling of continuum/rarefied flows. He develops high-performance numerical algorithms like the Unified Gas-Kinetic Scheme (UGKS) and Kinetic.jl (a finite volume toolbox for scientific computing). Current projects include mesoscopic science , stochastic data science , and physics-informed neural networks . He contributes to open-source tools including FluxReconstruction.jl for advection-diffusion methods and Langevin.jl for stochastic kinetic modeling. Publications cover Journal of Computational Physics , Engineering Fracture Mechanics , and Entropy , with preprints on arXiv in 2025 addressing force-driven flows and hybrid peridynamics. Teaching activities include the Introduction to Kinetic Theory lecture at KIT, and mentoring in the CAMMP (Computational and Mathematical Modeling Program) to develop problem-solving skills through real-world modeling tasks. He advocates for problem-based learning where students translate non-mathematical problems into mathematical language.

Oscar Pueblaمشاهده پروفایل

استاد

• Marine Ecology
• Evolutionary Biology
• Population Genomics
• +۴ مورد دیگر

Oscar Puebla serves as Professor for Fish Ecology at the University of Oldenburg and holds dual leadership roles at the Leibniz Centre for Tropical Marine Research (ZMT) in Bremen: Programme Area Lead for Coastal Resources and Sustainable Blue Economy (Programme Area 1) and Working Group Leader for Fish Ecology and Evolution. Based at ZMT's Wiener Str. 7 office (Room 5307), he directs research on tropical marine ecosystems with implications for global change adaptation and conservation. His research program centers on marine evolutionary processes, specifically investigating dispersal mechanisms, adaptive radiation, and speciation dynamics in tropical reef fishes. Employing population genomics as his primary methodology, he integrates behavioral observations and theoretical modeling to examine how ecological pressures drive genetic divergence. Key focus areas include color-pattern evolution in Hypoplectrus hamlets, microendemism patterns, and mating system evolution in simultaneous hermaphrodites. Analysis of his 14 publications (2007-2022) reveals consistent contributions to understanding genomic architecture of speciation, particularly through studies of Caribbean reef fishes. His work demonstrates how chromosomal rearrangements facilitate adaptive divergence while maintaining gene flow, with significant implications for marine biodiversity conservation under climate change scenarios. As head of ZMT's Fish Ecology and Evolution working group, Puebla oversees field studies in tropical marine environments including Bocas del Toro, Panama. His research program likely involves substantial grant funding given the international collaborations evident in his publications, though specific grants aren't detailed in the source text. The group maintains active field and genomic laboratories supporting ongoing work on coral reef fish evolution.

• Distributed Systems
• Peer-to-Peer Networks
• Cloud Computing
• +۴ مورد دیگر

Peter G. Kropf is a Professor in the Department of Computer Science at the University of Neuchâtel, Switzerland, with a distinguished research career spanning over three decades. His academic journey reflects significant contributions to distributed systems, peer-to-peer networks, and cloud computing, with recent focus on IoT analytics and scientific computing applications. Dr. Kropf's research interests center on Distributed Systems , Peer-to-Peer Networks , Cloud Computing , Wireless Mesh Networks , and Scientific Workflows . His work demonstrates a clear evolution from foundational distributed systems research to practical applications in environmental monitoring, IoT analytics, and large-scale scientific computing. He has maintained consistent research productivity throughout his career, with publications appearing regularly from 1990 through 2024. Analysis of his recent publications reveals a strong trend toward real-time data processing for environmental applications, IoT analytics , and cloud-based scientific workflows . His work often bridges theoretical distributed systems concepts with practical implementations, particularly in environmental monitoring and resource management contexts. The interdisciplinary nature of his research connects computer science with environmental science and hydrology. Dr. Kropf has established long-term collaborations with researchers including Gilbert Babin (15 joint publications), Pascal Felber (14 publications), and Sabina Serbu (7 publications), forming a productive research network focused on distributed systems challenges. His work has appeared in prestigious venues including IEEE Internet Computing, Future Generation Computer Systems, and Middleware conference proceedings.

Ruth Achenbachمشاهده پروفایل

پژوهشگر ارشد

• International Migration
• Social Inequality
• Decision Theory
• +۴ مورد دیگر

Ruth Achenbach is a Research Fellow at Goethe University Frankfurt, leading the BMBF-funded project "Qualification and Skill in the Migration Process of Foreign Workers in Asia (QuaMaFA)" since 2021. She serves as Visiting Fellow at Sophia University's Institute of Comparative Culture and coordinates interdisciplinary programs like Modern East Asian Studies (MEAS). PhD from University of Hamburg (2010-2015) Recipient of Karl H. Ditze-Prize for Master Thesis on Japan-Taiwan Relations Konrad-Adenauer-Stiftung scholarship (2011-2013) Her research focuses on international migration of the highly skilled (especially Chinese to Japan), decision theory , life stage models , and social inequality . She explores how migration decisions evolve across life courses, influenced by family, gender, and labor market dynamics. Key article themes include transnational labor integration, gender-specific migration strategies, and Kaizen's role in development cooperation. Her work spans Africa-Asia collaborations via the AFRASO project and comparative studies with Singapore. Karl H. Ditze-Prize for Academic Excellence Konrad-Adenauer-Stiftung PhD Scholarship Funding from Alexander von Humboldt Foundation She has taught courses on migration, social inequality, and East Asian politics at Goethe University, Heidelberg, and University of Zurich. Her fieldwork includes ethnographic observations in Japan and Singapore, analyzing how graduates navigate labor markets amidst demographic challenges.

Frederick Soltمشاهده پروفایل

استاد

• Political Economy
• Comparative Politics
• Public Opinion
• +۳ مورد دیگر

Frederick Solt is a Professor in the Department of Political Science at the University of Iowa, specializing in comparative political behavior, public opinion, and political economy. His research focuses on how economic inequality shapes citizen attitudes and behaviors across nations, with significant contributions to cross-national methodology. His primary research interests include income inequality dynamics , comparative public opinion , and computational methods for cross-national research . Solt pioneered the Standardized World Income Inequality Database (SWIID), providing comparable inequality metrics for global research, and leads the Dynamic Comparative Public Opinion (DCPO) Lab which generates Bayesian estimates of opinion trends across thousands of surveys. Recent publications reveal consistent focus on democratic support measurement, inequality's impact on protest participation, and gender egalitarianism across cultures. His work demonstrates methodological innovation through latent variable modeling and advanced estimation techniques for cross-national comparability. Solt maintains active research leadership through the DCPO Lab and SWIID database project, developing tools that enable rigorous analysis of global inequality and opinion trends. His collaborative work spans multiple continents with frequent co-authorship patterns indicating strong international research networks.

Yang Shao-Hornمشاهده پروفایل

استاد

• Electrochemistry
• Catalysis
• Energy Storage
• +۳ مورد دیگر

Yang Shao-Horn is the JR East Professor of Engineering at the Massachusetts Institute of Technology (MIT), holding appointments in the School of Engineering and Department of Materials Science and Engineering. She concurrently serves as a Hans Fischer Senior Fellow at the Technical University of Munich Institute for Advanced Study (TUM-IAS) since 2022, hosted by Professors Roland Fischer and Aliaksandr Bandarenka within the Molecular Designs of Site-Specific Activity focus group. Her educational background includes: Ph.D. in Metallurgical and Materials Engineering, Michigan Technological University Professor Shao-Horn's research pioneers the application of physical chemistry principles to engineer interfacial charge transfer and dynamics for climate-critical energy solutions. Her work spans sustainable fuel production (via water/CO 2 /nitrogen reduction) and high-energy lithium batteries, employing experimental techniques (synthesis, synchrotron X-ray, electron/light imaging) and computational methods (DFT, machine learning). Her group has developed foundational frameworks linking electronic/phononic structures to reaction kinetics and ion dynamics. Analysis of her publication record reveals dominant focus areas in electrocatalysis for renewable energy conversion, particularly oxygen evolution/reduction reactions. Her work consistently advances catalyst design (perovskites, metal-organic frameworks) and interfacial phenomena in energy storage, with increasing integration of machine learning for accelerated materials discovery across electrochemical systems. Her accolades include: Humboldt Prize in Chemistry (2020) Dr. Karl Wamsler Innovation Award (2020) Faraday Medal from Royal Society of Chemistry (2018) Battery Research Award of Electrochemistry Society (2016) She is also a National Academy of Engineering member and fellow of AAAS, Electrochemical Society, National Academy of Inventors, and International Society of Electrochemistry. Professor Shao-Horn has mentored 100+ students and postdocs at MIT, with alumni now leading research at Tesla, Amazon, Apple, national laboratories, and academic institutions worldwide (~40 faculty positions across US, Europe, and Asia). Her research program receives substantial funding from federal agencies and industry partners, supporting cutting-edge facilities for materials synthesis and characterization. Her MIT laboratory operates within the Research Laboratory of Electronics and MIT Energy Initiative, fostering global collaborations with universities and private/public sectors. Current initiatives include advanced battery systems, electrocatalysts for sustainable fuel production, and machine learning frameworks for materials design, all addressing urgent climate challenges through fundamental interfacial science.

Christian Mendlمشاهده پروفایل

استادیار

• Quantum Computing
• Computational Physics
• Statistical Physics
• +۲ مورد دیگر

Christian Mendl is a Rudolf Mößbauer Tenure Track Assistant Professor at the Technical University of Munich (TUM) , affiliated with the School of Computation, Information and Technology and the Institute for Advanced Study (TUM-IAS) . His career includes a postdoctoral position at Stanford University (2015-2017) under a Feodor Lynen Fellowship from the Alexander von Humboldt Foundation, a Junior Professorship at TU Dresden (2017-2019), and a PhD in Physics from LMU Munich (2012). Education : Physics and Mathematics (TUM) Appointments : Rudolf Mößbauer Assistant Professor (TUM, 2019), Junior Professor (TU Dresden, 2017), Postdoc (Stanford, 2015-2017) Research Focus : Mendl specializes in Quantum Computing , Computational Physics (tensor networks, quantum Monte Carlo, neural-network quantum states), Statistical and Non-Equilibrium Physics , and Numerical Simulation . His work bridges quantum information theory with condensed matter physics, emphasizing efficient quantum algorithms and simulators for complex systems. Scientific Contributions : Recent publications highlight advancements in quantum circuit optimization , tree tensor network simulations , block encoding of operators , and quantum-assisted optimization for problems like the capacitated vehicle routing and Toda lattice dynamics. His methods often integrate machine learning with quantum information to address challenges in Hamiltonian simulation and quantum error analysis . Awards : Alexander von Humboldt Feodor Lynen Fellowship, Boehringer Ingelheim Fonds PhD Fellowship, TopMath Graduate Program, Studienstiftung des deutschen Volkes Grants : Rudolf Mößbauer Tenure Track Fellowship (TUM-IAS), Dieter Schwarz Fellowship

Jan Pennekampمشاهده پروفایل

پژوهشگر

• Industrial Internet of Things (IIoT)
• Security and Privacy
• Privacy Enhancing Technologies (PETs)
• +۸ مورد دیگر

Jan Pennekamp is a postdoctoral researcher at the Chair of Communication and Distributed Systems (COMSYS) within the Department of Computer Science at RWTH Aachen University. He is a member of the Security and Privacy research group and is actively involved in the Cluster of Excellence 'Internet of Production,' where he serves as deputy workstream coordinator. His academic journey includes a B.Sc. and M.Sc. in Computer Science from RWTH Aachen, with exchange studies at Aalto University and an internship at the University of Luxembourg. His research interests center on security and privacy in the Industrial Internet of Things (IIoT), privacy-enhancing technologies (PETs), secure computation, and interdisciplinary applications in healthcare, particularly synthetic data and single-cell genomics. He has led and contributed to numerous research projects, including CALCIPROTECT, RFC, RUST, SUSTAINET-guardian, and SYNCLIVER. His methodological focus includes both technical innovation and rigorous evaluation in real-world scenarios. His recent publications demonstrate a strong trend toward privacy-preserving data sharing in industrial and healthcare contexts, leveraging techniques such as confidential computing, blockchain, and machine learning. His work bridges computer science with industrial engineering and clinical research, emphasizing secure, interoperable, and accountable data ecosystems. Scientific Awards: Klaus Tschira Boost Fund Fellow 2025 Attendee of the 12th Heidelberg Laureate Forum 2025 Young Researcher Award 2022, Cluster of Excellence Internet of Production ICT Young Researcher Award 2021 TDWI Award 2018 (best master thesis) Google Scholarship 2018 Finalist, Artifacts Competition and Impact Award at ACSAC 2022 Outstanding Reviewer Award, TheWebConf/WWW 2024 Jan has advised numerous B.Sc. and M.Sc. theses on topics ranging from privacy-preserving benchmarking to intrusion detection and blockchain-based accountability. He has received research stipends and travel grants from RWC and ACSAC and has held leadership roles in academic service, including organizing conferences and serving on program committees for top venues like IEEE S&P, CCS, and EuroS&P. He is also a Certified ScrumMaster and RWTH Research Manager, reflecting his strong project and team leadership skills. He is actively engaged in interdisciplinary research labs and teams, particularly within the 'Internet of Production' initiative, collaborating with industrial partners and medical researchers to develop secure and privacy-preserving information systems for real-world applications.

Michael Ehrmannمشاهده پروفایل

استاد

• Protein Quality Control
• Serine Proteases
• HtrA Proteases
• +۱۲ مورد دیگر

Prof. Dr. Michael Ehrmann is a Full Professor of Microbiology at the University of Duisburg-Essen, affiliated with the Faculty of Biology and the Center of Medical Biotechnology (ZMB). He leads a research group focused on protein quality control mechanisms, particularly the HtrA family of serine proteases. His work bridges microbiology, structural biology, and chemical biology, aiming to understand fundamental cellular processes with implications for human disease. Full Professor (C4/W3), University of Duisburg-Essen (2004–present) Chair, Center of Medical Biotechnology (ZMB) (since 2005) Established Chair, School of Biosciences, Cardiff University (1999–2004) Group Leader, University of Konstanz (1991–1999) Postdoctoral Research Assistant, Harvard Medical School (1988–1991) Michael Ehrmann's research centers on evolutionarily conserved mechanisms of protein quality control, especially the dual chaperone-protease functions of HtrA proteases. His lab investigates how these proteins detect misfolded proteins, integrate stress signals, and regulate cellular proteostasis. Key areas include the structural and functional plasticity of HtrA proteases, their role in bacterial stress response, and their involvement in human diseases such as Alzheimer’s, cancer, and arthritis. The group employs chemical biology tools and collaborates with pharmaceutical partners to develop therapeutic modulators of HTRA1. The recent publications highlight a strong focus on the molecular mechanisms of HtrA proteases, particularly HTRA1. Research trends include allosteric regulation, substrate-induced activation, structural dynamics, and therapeutic targeting. Articles span disciplines from structural biology to translational medicine, with frequent appearances in high-impact journals such as Nature , Cell , and PNAS . The work increasingly integrates chemical biology and disease models, reflecting a translational trajectory. Fellow, American Academy of Microbiology (2013) Member, Scientific Advisory Board, Gemini Therapeutics (2015–2021) Member, Editorial Board, EcoSal Plus (2017–present) Prof. Ehrmann has supervised numerous scientific coworkers and PhD students, though specific names are not listed. He has led major research projects funded by the DFG (e.g., CRC 1093, CRC 1430) and EFRE/JTF initiatives such as ClearView, which aims to develop HTRA1 inhibitors for age-related macular degeneration. His collaborations with Markus Kaiser and Tim Clausen have been instrumental in advancing chemical and structural biology approaches. He serves on institutional research boards, including the University Alliance Ruhr (UAR). Michael Ehrmann leads the Ehrmann Lab at the Center of Medical Biotechnology (ZMB), University of Duisburg-Essen. The lab is part of the DFG Collaborative Research Centers (CRC 1093 and CRC 1430), focusing on biological targets and cell state transitions. The team collaborates closely with structural biologists, chemists, and pharmaceutical partners to study proteostasis and develop therapeutic strategies targeting HtrA proteases.

Diana Qiuمشاهده پروفایل

استادیار

• Materials Science
• Condensed Matter Physics
• Quantum Materials
• +۱۲ مورد دیگر

Diana Qiu is an Assistant Professor in the Department of Materials Science and the Applied Physics program at Yale University's School of Engineering & Applied Science. Her research focuses on quantum materials, computational methods, and light-matter interactions, with applications in optoelectronics, quantum information, and energy technologies. Research Interests: Dr. Qiu's work centers on understanding and controlling quantum excitations in materials through first-principles calculations. Her group develops and applies quantum many-body theories to predict electronic, optical, and excitonic properties of novel materials. Key areas include 2D materials, hybrid perovskites, topological systems, and defect engineering. She investigates how light interacts with electrons in solids, particularly focusing on exciton dynamics, ultrafast responses, and nonlinear phenomena. Her recent publications reveal a strong emphasis on exciton physics, dielectric screening, and many-body effects across diverse material platforms. Using high-performance computing, her group bridges theoretical models with real material behavior, enabling predictive design of tunable and transient quantum materials. Honors and Awards: Presidential Early Career Award for Scientists and Engineers (PECASE), 2025 NSF CAREER Award, 2023 Packard Fellowship for Science and Engineering, 2021 DOE Early Career Award, 2021 Rising Stars in Physics, 2018 Jackson C. Koo Award in Condensed Matter Physics, 2017 Advising and Grants: As a principal investigator, Dr. Qiu leads the Qiu Group and mentors graduate students and postdoctoral researchers in computational materials science. She has secured major funding through the NSF, DOE, and Packard Foundation, supporting her research in quantum materials and exciton engineering. Her group collaborates with experimentalists to validate theoretical predictions and guide material synthesis. Labs and Research Teams: The Qiu Group is based at the Energy Sciences Institute in West Haven, CT, and operates within Yale’s robust infrastructure for computational and materials research. The team leverages high-performance computing resources to perform large-scale simulations of quantum materials.