جست‌وجوی استاد و پژوهشگر

Valérie de Lapparentمشاهده پروفایل

پژوهشگر

• Galaxy Evolution
• Large-Scale Structure of the Universe
• Galaxy Morphology
• +۴ مورد دیگر

Valérie de Lapparent is a senior researcher at the Paris Institute of Astrophysics (IAP) , a joint research unit of Sorbonne University and CNRS. Her work focuses on galaxy evolution, large-scale cosmic structure, and data analysis techniques. Education Baccalauréat, Série C (1979) Preparatory Classes, Lycée Louis le Grand (1979-1981) École Normale Supérieure, Physics Section (1981-1985) Licence in Physics, Univ. Paris VI (1982) Master's in Physics, Univ. Paris VI (1982) DEA in Astronomy & Space Techniques, Univ. Paris VII (1983) PhD, Univ. Paris VII (1986) Research Expertise Valérie de Lapparent investigates galaxy evolution, large-scale distribution, morphometry, spectroscopy, and collective properties like luminosity functions. Her methods include optical/infrared observations, redshift measurements, Bayesian inference, and neural networks. Scientific Contributions 1988 CNRS Bronze Medal for discovering the cosmic 'honeycomb' structure Leadership in ESO and CFHT surveys Creation of IAP's 'Origin and Evolution of Galaxies' research group Editorial direction of IAP's website Outreach through public lectures and the 'Harmonia Celestis' educational platform

Andrew J. Connollyمشاهده پروفایل

استاد

• Data Science
• Cosmology
• Galaxy Evolution
• +۷ مورد دیگر

Andrew J. Connolly is Professor in the Department of Astronomy at the University of Washington, Director of the eScience Institute, Associate Vice Provost for Data Science, and William P. and Ruth Gerberding University Professor. He also serves as Adjunct Faculty in the Paul G. Allen School of Computer Science & Engineering. His research focuses on data-intensive astronomy, developing computational tools for massive surveys like the Sloan Digital Sky Survey and Legacy Survey of Space and Time (LSST). Key interests include cosmology through galaxy clustering and weak gravitational lensing, photometric redshift estimation, time-domain astronomy, and solar system studies. He pioneers machine learning applications in astrophysics, co-authoring the seminal textbook Statistics, Data Mining, and Machine Learning in Astronomy . William P. and Ruth Gerberding University Professor Connolly advises a large research group with current members Bryce Kalmbach, Chris Suberlak, Stephen Portillo, Kyle Boone, Hayden Smotherman, Dino Bektesevic, and John Franklin Crenshaw. His former students include Scott Daniel, Simon Krughoff, and Jake Vander Plas. His work receives significant support through initiatives like the Schmidt Futures Foundation-sponsored LINCC partnership for LSST data processing. He leads the eScience Institute as a hub for cross-disciplinary data science, founding the DiRAC Institute for astronomy-focused data science. Current projects involve cloud-native frameworks (Spark, Kubernetes, Kafka) for Rubin Observatory data and expanding data science education through Hackweeks, Bootcamps, and Data Science for Social Good programs.

• Cosmology
• Astrophysics
• Dark Energy
• +۴ مورد دیگر

Krishna Naidoo is a Research Fellow at the Institute of Cosmology & Gravitation within the Faculty of Technology at the University of Portsmouth. He contributes to the Euclid mission through galaxy clustering analysis, power spectra modeling, and machine learning applications in gravitational lensing studies. Active in cosmology and astrophysics research Key contributor to Euclid mission data processing pipelines Specializes in dark energy studies and cosmic web mapping Works with advanced statistical methods and machine learning His research focuses on understanding the large-scale structure of the universe, galaxy alignments, and dark matter distribution through observational data analysis. Recent work emphasizes Euclid's Quick Data Release protocols and 3D clustering estimation techniques. Krishna's publications demonstrate expertise in angular power spectra analysis (2025), galaxy shape characterization in the cosmic web (2025), and innovative machine learning approaches for lensing detection (2025). These works highlight his contributions to statistical cosmology and data-driven astrophysics. He collaborates extensively on the SHADE (Statistical Host Identification As a Test of Dark Energy) project, part of European Commission-funded research from 2021-2026, focusing on gravitational wave host identification and dark energy constraints.

• Astrophysics
• Cosmology
• Galaxy Evolution
• +۳ مورد دیگر

Karim Tanveer is a Research Fellow at the University of Toronto's Dunlap Institute for Astronomy & Astrophysics and Department of Astronomy & Astrophysics. His work spans cosmology, galaxy evolution, and instrumentation for large-scale surveys like the Dark Energy Spectroscopic Instrument (DESI). Current research focuses on precision cosmology through emission-line galaxies, photometric redshift estimation, and the interstellar medium's dynamics, including Fermi bubbles and galactic nuclear outflows. Key Research Themes: Cosmological parameter estimation via DESI and CMB lensing Galactic nuclear wind and outflow gas mapping Target selection algorithms for spectroscopic instruments UV absorption studies of galactic structures Next-generation infrared surveys like NANCY Instrumentation & Data: He contributes to DESI's large-scale structure catalogs, target pipelines, and data validation processes. His work bridges observational techniques with cosmological constraints, emphasizing systematic error mitigation in parameter inference.

Robert Feldmannمشاهده پروفایل

استاد

• Galaxy Formation
• Cosmology
• Data Science
• +۳ مورد دیگر

Robert Feldmann is a Professor of Astrophysics at the University of Zurich's Department of Astrophysics within the Faculty of Science. His research combines computational astrophysics with data science to investigate galaxy formation and evolution across cosmic history. As a key contributor to the Feedback in Realistic Environments (FIRE) project and leader of MassiveFIRE, he develops sophisticated cosmological simulations to understand how galaxies form stars, grow, and evolve within the cosmic web. Feldmann's research interests focus on understanding how galaxies and their properties evolve over cosmic time, particularly examining the processes that determine galaxy sizes, regulate star formation rates, and shape morphology. His work bridges observational astronomy with theoretical modeling, leveraging the exponential growth in computing power and data science techniques to tackle complex astrophysical problems. He investigates the role of stellar feedback, cosmological starvation, and dark matter halo properties in shaping galaxy evolution, with particular emphasis on massive galaxies during the cosmic noon period (redshifts z~1.5-3). His publication record shows consistent output in leading astrophysics journals, with recent work focusing on applying machine learning to cosmological simulations (EMBER framework), studying submillimeter-bright galaxies, and analyzing quiescent galaxy formation. Feldmann has developed significant open-source tools including LEO-Py for statistical analysis of astronomical data and ZEBRA for photometric redshift determination, demonstrating his dual expertise in astrophysics and computational methods. Feldmann actively collaborates with researchers worldwide, including Phil Hopkins, Rachel Bezanson, and Eliot Quataert, and participates in major international projects. He regularly presents at conferences, including organizing the 2024 Ascona conference on 'Observing and Simulating Galaxy Evolution in the Era of JWST.' His work has been featured in media outlets like Sueddeutsche Zeitung, highlighting the public impact of his research on galaxy morphology. As an educator, Feldmann mentors Master's students from both University of Zurich and ETH Zurich, offering research projects in astrophysics and data science. His computational approach to galaxy evolution provides students with valuable experience in high-performance computing and data analysis techniques applicable across scientific disciplines.

• Astronomy
• High Redshift Galaxies
• Galaxy Formation and Evolution
• +۱ مورد دیگر

Mawatari, Ken is an Assistant Professor at Waseda University's Faculty of Science and Engineering, specializing in high-redshift galaxy studies. His work bridges observational astronomy with cosmological simulations to understand galaxy formation during the Epoch of Reionization. Education: Ph.D. in Science (Tohoku University's Astronomical Institute). Research Focus: High-redshift galaxy evolution, interstellar medium dynamics, and cosmic reionization through multi-wavelength observations (JWST/NIRSpec, ALMA, Subaru). His recent publications analyze galaxy mergers ( RIOJA project ), dust evolution in early galaxies, and Lyman-alpha intensity mapping. Notably, he contributed to detecting [O iii] 63 μm emission in quasars and studying dispersion-dominated metal-poor galaxies as analogs for primordial systems. Key collaborations: ALMA, JWST, Subaru Telescope, and Hyper Suprime-Cam Strategic Program. His work frequently intersects with the EMPRESS and FOREVER22 simulation projects, advancing understanding of metal-poor galaxies and protocluster evolution.

• Cosmology
• Large-scale structure of the Universe
• Galaxy formation and evolution
• +۳ مورد دیگر

Professor Robert E Smith is a Professor of Cosmological Physics in the Department of Physics and Astronomy at the University of Sussex, within the School of Mathematical and Physical Sciences. He joined the University of Sussex in 2013 and has established himself as a leading researcher in cosmology, with a particular focus on large-scale structure in the Universe. Professor Smith's educational background includes a PhD from the University of Edinburgh, followed by postdoctoral positions at the University of Nottingham, University of Pennsylvania, University of Zurich, and the Max-Planck Institute for Astrophysics. His research spans multiple areas of cosmology, with particular emphasis on: Large-scale structure formation and evolution Halo mass function and its universality across cosmological models Galaxy power spectrum and bispectrum analysis Weak gravitational lensing and aperture mass statistics Cosmological parameter estimation from large surveys Connections to major observational missions like Euclid Professor Smith's publication record shows consistent output of high-impact research, with recent work focusing on precision cosmology, alternative cosmological models, and analysis techniques for upcoming large surveys. His work often involves sophisticated statistical methods and large-scale computational approaches. His notable scientific contributions include: Work on the halo mass function beyond standard cosmological models Contributions to the Euclid space mission Development of methods for analyzing weak gravitational lensing data Studies of galaxy bias using power spectrum and bispectrum analysis Research on the effects of massive neutrinos in cosmological structure formation Professor Smith is actively involved in research funding, currently participating in the Astronomy Centre Consolidated Grant (2023-2026) from the STFC, and previously in similar grants covering 2017-2023. These grants support his research program and likely provide opportunities for student involvement. He maintains a research presence through his personal webpage and continues to contribute to major collaborative efforts in cosmology, including the Euclid mission which aims to map the geometry of the dark Universe.