جستجوی استاد راهنمای دانشگاهی

Andrew Childsمشاهده پروفایل

استاد

• Quantum Algorithms
• Quantum Information Processing
• Quantum Simulation
• +۲ مورد دیگر

Andrew Childs is a Professor at the University of Maryland, affiliated with the Department of Computer Science and the Institute for Advanced Computer Studies (UMIACS). He serves as Director of the NSF Quantum Leap Challenge Institute for Robust Quantum Simulation (RQS) and is a Fellow at the Joint Center for Quantum Information and Computer Science (QuICS). His research focuses on quantum algorithms for simulating physical systems, algebraic problems, and quantum walk protocols, with applications in quantum computing and computational complexity. University of Maryland Institute for Advanced Computer Studies (UMIACS) Joint Center for Quantum Information and Computer Science (QuICS) NSF Quantum Leap Challenge Institute for Robust Quantum Simulation Childs' research spans quantum simulation, quantum Fourier transform, phase estimation, and Hamiltonian dynamics. He has developed techniques to reduce quantum computational resources for simulating quantum systems and explored limitations of quantum computers through hidden subgroup problems and non-unitary dynamics. His publications cover diverse areas including quantum walk optimization, Hamiltonian simulation methods, and applications to cryptography and condensed matter physics. Recent works address spatial search algorithms, product formulas for commutators, and quantum routing protocols. As an educator, Childs has taught courses on quantum algorithms and information processing at both the University of Maryland and University of Waterloo, with lecture notes and materials spanning multiple years. Contact: amchilds@umd.edu | Office: ATL 3359 | Affiliated with University of Maryland's quantum research institutes.

• Nova Outbursts
• Thermonuclear Explosions
• White Dwarfs
• +۷ مورد دیگر

Timothy John O'Brien is a Professor of Astrophysics and Associate Director of the Jodrell Bank Centre for Astrophysics at the University of Manchester, Faculty of Science & Engineering, Department of Physics & Astronomy. He also served as Director of Teaching & Learning in the Department of Physics & Astronomy from 2016-2020 and as Associate Dean for Social Responsibility for the Faculty of Science & Engineering during the same period. His educational background includes a B.Sc. (Hons) in Physics with Astrophysics from the University of London (1985) and a Ph.D. in Astrophysics from the University of Manchester (1990). Professor O'Brien's research concentrates on the study of exploding stars—mainly nova outbursts caused by thermonuclear explosions on the surface of white dwarfs in binary star systems. Over the years, he has developed expertise in a wide range of astrophysical techniques, working across the spectrum from radio waves to X-rays while also carrying out numerical simulations of the aftermath of explosions using his own hydrodynamic codes. Recently, he has developed an interest in the search for extra-terrestrial intelligence (SETI) using radio telescopes. His research fingerprint shows strong activity in Novae (100%), Optical Bursts (94%), Recurrent Novae (56%), Ejecta (45%), Planetary Nebula (38%), Emissions (32%), Classical Novae (32%), and Nebula (28%). His recent publications demonstrate a continued focus on nova outbursts, particularly in symbiotic novae systems like RS Ophiuchi, with high-resolution imaging techniques and multi-wavelength observations. His work spans theoretical modeling, observational astronomy across the electromagnetic spectrum, and data analysis from major telescope facilities. Kelvin Medal of the Institute of Physics (2014) for Public Engagement Professor O'Brien has extensive teaching experience, having worked as a lecturer in three universities since 1988. He has taught a wide range of courses in astronomy & astrophysics, physics, applied mathematics, and computing. From 1999-2009, he directed a distance learning program in astronomy that enrolled over 1,300 students. His current teaching includes Dynamics, Physics of the Solar System, and a course on the Search for Extraterrestrial Life. He has also supervised numerous project students throughout his career. He is actively involved in public engagement, including regular media appearances and events at the Jodrell Bank Centre for Engagement. He was a co-founder of the bluedot festival and contributed to the successful nomination of Jodrell Bank Observatory as a World Heritage Site in 2019.

Jay Straderمشاهده پروفایل

استاد

• Compact Objects
• Black Holes
• Neutron Stars
• +۵ مورد دیگر

Jay Strader is a Professor in the Department of Physics and Astronomy at Michigan State University, where he serves as Graduate Director for the astronomy PhD program and Associate Chair for astronomy. His research focuses on compact objects, particularly black holes and neutron stars in globular clusters, neutron star binaries in Fermi gamma-ray sources, and intermediate-mass black holes. He has received a Packard Fellowship for Science and Engineering and grants from NSF and NASA. His research group includes postdoc Ryan Urquhart, graduate students Thomas Do and Rebecca Kyer, and several undergraduates, with past students like Teresa Panurach (now director of NoVEL Consortium) and Samuel Swihart (NRC fellow at Naval Research Lab). Education: PhD in Astronomy, UC-Santa Cruz/Lick Observatory Awards: Packard Fellowship Collaborations: Member of Rubin Observatory's Stars, Milky Way, and Local Volume science collaboration since 2008 Previous Positions: Hubble Fellow and Menzel Fellow at Harvard-Smithsonian Center for Astrophysics (2007-2012) Program Initiatives: Co-founder of PAREDS program for early research opportunities at MSU His work has been supported by NSF and NASA grants, and he has contributed to studies on black holes in M22, hypervelocity globular clusters around M87, and transitional millisecond pulsars. His group collaborates with Laura Chomiuk and contributes to data catalogs like the M31 globular cluster velocity dispersion database.

August Evrardمشاهده پروفایل

استاد

• Cosmology
• Astrophysics
• Galaxy Clusters
• +۲ مورد دیگر

Professor August Evrard is a distinguished academic at the University of Michigan, holding the Arthur F. Thurnau Professorship in Physics and Astronomy. He is affiliated with the Department of Physics within the College of Literature, Science, and the Arts. Known for his contributions to cosmology and astrophysics, he pioneered the Problem Roulette tool, recognized with the Provost's Teaching Innovation Prize. His research focuses on galaxy clusters, dark matter, and cosmological surveys like the Dark Energy Survey (DES) and XXL Survey. He has been honored as an AAS Fellow (2025) and has contributed to advancements in physics education through innovative teaching methods and technologies. In research, Prof. Evrard explores topics such as dark matter halo dynamics, galaxy cluster properties, and weak lensing analyses. His work spans observational cosmology, computational modeling, and multi-wavelength astronomy. Notable projects include studies on galaxy cluster mass distributions, the relationship between X-ray emissions and velocity dispersions, and the application of machine learning to astrophysical data analysis. His contributions to education highlight the integration of AI-driven tools to enhance learning, as seen in initiatives like the Problem Roulette and course recommendation systems. Prof. Evrard's awards include the Provost's Teaching Innovation Prize for Problem Roulette and his AAS Fellowship. His academic leadership and innovative approaches to both research and education solidify his role as a pivotal figure in astrophysics and STEM pedagogy.

Zhendong Suمشاهده پروفایل

استاد

• Programming Languages
• Compilers
• Software Engineering
• +۳ مورد دیگر

Zhendong Su is a full professor in the Department of Computer Science at ETH Zurich since August 2018. Previously, he held a full professorship at UC Davis from 2003 until June 2019. He earned his Ph.D. in Computer Science from UC Berkeley and dual Bachelor’s degrees in Computer Science and Mathematics from UT Austin in 1995. Affiliations: ETH Zurich: Full Professor (since 2018) UC Davis: Full Professor and Chancellor’s Fellow (2003–2019) IEEE Fellow, ACM Fellow, and Member of Academia Europaea His research focuses on programming languages, compilers, software engineering, computer security, and education technologies . Key contributions include compiler validation (e.g., Project Yin-Yang for SMT solvers and DBMS testing), testing tools like SQLancer, and educational innovations such as the Algot visual programming language. Recent work emphasizes secure AI (e.g., CipherSteal for TEE-shielded models) and compiler reliability (e.g., Artemis/Apollo for JIT validation). He has pioneered techniques like metamorphic testing and equivalence modulo inputs (EMI) for compiler validation, uncovering thousands of bugs in GCC/LLVM and SMT solvers. Awards: ICSE MIP Award (2022), ACM SIGSOFT Impact Paper (2018), NSF CAREER Award, and multiple industrial awards. His students have won IEEE TCSE Rising Star and SIGSOFT Impact Paper awards, securing roles at top universities and companies like Google and NVIDIA. Service: Steering committee member of ISSTA and ESEC/FSE, ACM Distinguished Speaker, and Associate Editor for ACM TOSEM. Program chaired ISSTA 2012 and co-chaired FSE 2016. Labs/Teams: Leads research groups on compiler validation, secure AI, and education technologies. Projects include Yin-Yang (SMT testing), SQLancer (DBMS fuzzing), and Algot (visual programming for education).

Imre Bartosمشاهده پروفایل

دانشیار

• Multi-messenger Astrophysics
• Black Hole Mergers
• Gravitational Waves
• +۲ مورد دیگر

Imre Bartos is an Associate Professor of Physics at the University of Florida, specializing in multi-messenger astrophysics that combines gravitational waves, neutrinos, and electromagnetic signals. His research investigates extreme cosmic explosions involving black holes and neutron stars, with emphasis on merger environments in active galactic nuclei. Groundbreaking work includes demonstrating how nearby neutron star mergers influenced Solar System composition, identifying AGN disks as factories for eccentric black hole mergers, and developing techniques to probe black hole origins through gravitational wave localization. His group participates in major collaborations including LIGO, LISA, and IceCube observatories. Professor Bartos received the Sloan Fellowship and shares Breakthrough Prize honors for contributions to gravitational wave astronomy. He leads observational programs using Chandra, VLA, and Fermi telescopes while mentoring students in computational astrophysics techniques.

Kent Yagiمشاهده پروفایل

دانشیار

• Theoretical Astrophysics
• Gravity and Cosmology
• Gravitational Physics
• +۶ مورد دیگر

Kent Yagi is an Associate Professor in the Physics Department at the University of Virginia, specializing in theoretical astrophysics, gravity, and cosmology. His research focuses on using gravitational waves from compact objects like black holes and neutron stars to probe fundamental physics, including testing General Relativity in strong-field regimes and determining the equation of state of nuclear matter. Position: Associate Professor (2023-present), previously Assistant Professor (2017-2023) Education: Ph.D. in Physics from Kyoto University (2012) Prior positions: Postdoctoral Research Scholar at Princeton University (2015-2017), Postdoctoral Research Associate at Montana State University (2012-2015) Yagi's research centers on theoretical modeling of neutron stars and gravitational wave physics. He is particularly known for discovering the 'I-Love-Q' universal relations among neutron star observables that are insensitive to the equation of state. His work enables testing strong-field gravity and probing nuclear physics through gravitational wave observations. He also investigates binary pulsar systems as precision laboratories for testing gravitational theories beyond General Relativity. His research has significant implications for multi-messenger astronomy, connecting gravitational wave observations with electromagnetic counterparts to extract fundamental physics. The field has evolved rapidly since the first gravitational wave detection in 2015, and Yagi's theoretical predictions have helped shape how we interpret these observations to test gravity and nuclear physics in extreme conditions. NSF CAREER Award (2023) Sloan Research Fellowship (2019) IUPAP Young Scientist Prize (2019) Mead Honored Faculty (2018-2019) Yagi leads an active research group at UVA with multiple graduate and undergraduate students. His group collaborates with researchers across departments, including high energy physicists, nuclear physicists, astronomers, and researchers at the National Radio Astronomy Observatory. Current research directions include multi-band gravitational wave tests of general relativity, constraining nuclear matter parameters with GW170817, and developing parameterized post-Einsteinian gravitational waveform models for various modified gravity theories. The group has received multiple student research fellowships and awards, demonstrating strong mentorship and training of the next generation of physicists.

• Observational cosmology
• Galactic astronomy
• Exoplanet science
• +۵ مورد دیگر

David W. Hogg is Professor of Physics and Data Science in the Center for Cosmology and Particle Physics in the Department of Physics at New York University. He serves as Senior Research Scientist in the Astronomical Data Group in the Center for Computational Astrophysics of the Flatiron Institute and maintains an affiliation with the Max-Planck-Institut für Astronomie in Heidelberg. His primary research focuses on observational cosmology, particularly approaches that use galaxies to infer physical properties of the Universe. He also conducts significant research on stellar kinematics in the Milky Way and the measurement and discovery of exoplanets. Across all domains, Hogg develops engineering systems and statistical methodologies that enable large-scale astrophysical projects for both his research group and the broader community. Recent work demonstrates expertise in robust statistical methods, particularly dimensionality reduction techniques like Robust-HMF. His research bridges theoretical statistics with practical applications in major astronomical surveys including Gaia, SDSS-V, and SPHEREx. He frequently explores connections between Bayesian and frequentist approaches to astronomical data analysis, with recent work on nuisance parameter integration, anomaly detection, and robust matrix factorization. Research supported by NYU, NASA, NSF, Moore Foundation, Sloan Foundation Additional support from Max Planck Society, Humboldt Foundation, ERC, Simons Foundation Hogg is actively involved in major astronomical projects including Astrometry.net, Gaia, and SDSS, with long-term comprehensive goals of analyzing all galaxies, stars, and astronomical images. His work emphasizes open science principles, reproducible research practices, and the development of publicly accessible tools for the astronomical community.

Laura Blechaمشاهده پروفایل

دانشیار

• Astrophysics
• Supermassive Black Hole Evolution
• Galaxy Mergers
• +۳ مورد دیگر

Laura Blecha is an Associate Professor in the Physics Department at the University of Florida, specializing in astrophysics. Her research focuses on supermassive black hole (SMBH) and galaxy evolution through numerical simulations and observational collaborations. PhD from Harvard University (2012) Full Member of NANOGrav pulsar timing collaboration Associate Member of the LISA Consortium Her work spans three primary areas: SMBH Formation & Evolution : Origins of SMBHs, galaxy merger-driven growth, and intermediate-mass black hole demographics AGN Fueling & Feedback : Hydrodynamic simulations of AGN activation mechanisms and observational bias in AGN detection Binary SMBH Dynamics : Gravitational wave recoil effects, three-body interactions, and pulsar timing array detection strategies Recent publications (2025) focus on dual AGN detection with Keck AO, JWST studies of primordial galaxies, and NANOGrav gravitational wave background analysis. Her group develops sub-grid models for SMBH dynamics in cosmological simulations and investigates signatures of black hole mergers in galaxy clusters. Laura's research combines computational methods (Illustris, BRAHMA simulations) with observational validation through: JWST NIRSpec spectroscopy Pulsar Timing Array analysis Multiwavelength imaging campaigns

• Particle and high energy physics
• Astronomical sciences
• Nuclear and plasma physics
• +۳ مورد دیگر

Wayne Springer is a Professor in the Department of Physics & Astronomy at the University of Utah, with a career spanning over 25 years. He has been actively involved in experimental particle astrophysics, ultra-high-energy cosmic ray (UHECR) physics, and gamma-ray astronomy. Ph.D. in Physics from University of Maryland (1991) B.S. in Physics from University of Maryland (1985) Postdoctoral training at University of Maryland and University of Alberta His research focuses on particle astrophysics, cosmic ray detection, and gamma-ray astronomy. He has made significant contributions to the development of the HiRes and Telescope Array cosmic ray observatories, as well as the HAWC and SWGO gamma-ray observatories. His recent work includes deployment of the Trinity neutrino detector prototype and serving as SWGO project manager for Chile site infrastructure. Article trends show strong emphasis on TeV gamma-ray observations (HAWC, SWGO), cosmic ray diffusion mechanisms, dark matter searches, and high-energy astrophysical source characterization (pulsars, microquasars, supernova remnants). He has secured multiple NSF grants for particle astrophysics research and leads detector working groups in international collaborations. Professor Springer actively participates in astronomy outreach, co-developing observatories and implementing computational physics teaching tools with Gradescope auto-graders for enhanced pedagogy. His work bridges experimental high-energy physics, detector development, and multiwavelength astrophysical studies.

• Numerical Relativity
• Gravitational Wave Astronomy
• Black Hole Dynamics
• +۴ مورد دیگر

Harald Pfeiffer is a Professor at the University of Potsdam and Group Leader in the Astrophysical and Cosmological Relativity department at the Max Planck Institute for Gravitational Physics (Albert Einstein Institute) in Potsdam. His research focuses on numerical relativity and gravitational wave astrophysics, particularly simulations of black hole and neutron star mergers to interpret observations from detectors like LIGO and Virgo. He holds a PhD from Cornell University and has held academic roles at the Canadian Institute for Theoretical Astrophysics (2009–2017). Notably, he was elected a Fellow of the American Physical Society in 2023 for his contributions to numerical relativity. His expertise includes developing computational tools to solve Einstein’s equations on supercomputers and analyzing gravitational wave data. Key interests include understanding spacetime behavior during mergers, improving waveform models, and preparing for future detectors like LISA. He collaborates extensively with international initiatives such as the LIGO Scientific Collaboration. Selected Awards: Fellow of the American Physical Society (2023) Research and Grants: His work bridges theoretical advances and observational data, contributing to waveform catalogs and detector sensitivity improvements. He leads a team advancing numerical relativity techniques for next-generation gravitational wave astronomy. Labs/Teams: Leads the Astrophysical and Cosmological Relativity group at the Max Planck Institute, fostering interdisciplinary research in gravitational wave science.

Matthew J. Grahamمشاهده پروفایل

استاد پژوهش

• Astronomy
• Astrophysics
• Time-domain Astronomy
• +۵ مورد دیگر

Matthew J. Graham is a Research Professor of Astronomy at the California Institute of Technology (Caltech), serving as the Project Scientist for the Zwicky Transient Facility (ZTF). His work bridges astronomy, machine learning, and data science, focusing on time-domain sky surveys that produce hundreds of thousands of public transient alerts per night. Previously, he has worked on the Catalina Real-time Transient Survey (CRTS), NOAO DataLab, Virtual Observatory, and Palomar-Quest Digital Sky Survey. Dr. Graham's primary research interests involve applying machine learning and advanced statistical methodologies to astrophysical problems, particularly the variability of quasars and other stochastic time series. His work addresses the unprecedented data volumes generated by 21st-century astronomy while expanding our ability to work with complex information systems beyond simple correlations. His current projects include real-time low latency inferencing via the NSF-funded A3D3 Institute, reinforcement learning for optimizing astrophysical follow-up campaigns, neural differential models for supermassive black hole variability, and functional analysis of multivariate time series. Analysis of Graham's recent publications reveals a strong focus on time-domain astronomy, particularly leveraging the capabilities of the Zwicky Transient Facility. His work spans multiple areas including gravitational wave counterpart identification, active galactic nuclei variability, supernova characterization, and machine learning applications for transient detection. A notable trend is the integration of artificial intelligence techniques to handle the massive data streams from modern sky surveys, enabling real-time analysis and decision-making that would be impossible with traditional methods. Dr. Graham has been instrumental in developing infrastructure for time-domain astronomy, including the alert distribution system for ZTF and data processing pipelines for handling massive transient datasets. His work on the Catalina Real-time Transient Survey established important methodologies for identifying variable and transient sources that continue to influence the field. As Project Scientist for ZTF, Graham leads a major international collaboration involving Caltech, IPAC, and numerous partner institutions worldwide. The facility represents a significant advancement in time-domain astronomy, providing unprecedented coverage of the dynamic sky and enabling discoveries across multiple areas of astrophysics.

Jung-Eun Kimمشاهده پروفایل

استادیار

• Trustworthy AI
• Interpretable AI
• Efficient Deep Learning
• +۷ مورد دیگر

Jung-Eun Kim is an Assistant Professor in the Department of Computer Science at North Carolina State University, where she conducts research at the intersection of artificial intelligence, machine learning, and cyber-physical systems. Her work focuses on creating trustworthy, interpretable, and efficient AI systems, particularly for safety-critical applications. Education: Ph.D. in Computer Science, University of Illinois at Urbana-Champaign (2017) M.S. in Computer Science and Engineering, Seoul National University (2009) B.S. in Computer Science and Engineering, Seoul National University (2007) Dr. Kim's research primarily investigates how to make AI systems more trustworthy, interpretable, and efficient, with particular emphasis on understanding failure modes, safety risks, vulnerabilities, and biases in deep learning models. Her work bridges theoretical understanding with practical applications in safety-critical systems. She explores how efficiency considerations interact with these issues, seeking to fundamentally anatomize neural networks to understand what causes failure modes and how to mitigate them. Her approach has been described as 'like a heart surgeon, we open the heart of a neural network architecture, look into it, interpret it, and cure it.' Her recent publications demonstrate a strong focus on safety alignment in large language models, mitigation of spurious correlations, privacy preservation against membership inference attacks, and sustainable AI development. Her work spans theoretical foundations of trustworthy AI while addressing practical challenges in model deployment, particularly for resource-constrained environments. She has made significant contributions to understanding how model compression techniques like pruning and quantization can inadvertently amplify biases and vulnerabilities. Scientific Awards: ICLR Spotlight, 2025 IBM Faculty award, 2023 CRA Early & Mid Career Mentoring Workshop, 2023 Cloud GPU provided by Lambda, worth $17,280, for course, Spring 2023 NeurIPS Spotlight and nomination for Best Paper Award, 2022 CRA Career Mentoring Workshop, 2022 GPU Grant by NVIDIA Corporation, 2018 The MIT EECS Rising Stars, 2015 The Richard T. Cheng Endowed Fellowship, 2015-2016 Dr. Kim actively mentors PhD students, currently advising Xingli Fang, Varun Mulchandani, Jianwei Li, Rishi Singhal, and Minseon Kim. She has secured significant research funding, including an NSF SaTC (Secure and Trustworthy Cyberspace) grant as Co-PI for 'Partition-Oblivious Real-Time Hierarchical Scheduling' ($281,629.00, 2022-2024). Her research has also been supported by an NVIDIA GPU Grant and cloud resources from Lambda. She serves on program committees for top AI conferences including ICLR, ICML, NeurIPS, AAAI, and IJCAI, and has held roles such as Publicity Chair for IJCAI 2024. Her research group focuses on developing methods to make AI systems more trustworthy, interpretable, and efficient, with particular attention to safety-critical applications. The group investigates how to identify and mitigate failure modes in neural networks while maintaining efficiency, exploring the fundamental relationship between model architecture, safety risks, and computational constraints.

Manuel Linares Alegretمشاهده پروفایل

استاد

• High-energy astrophysics
• Compact objects in binary systems
• Neutron stars
• +۷ مورد دیگر

Manuel Linares Alegret is a Professor in the Department of Physics at the Norwegian University of Science and Technology (NTNU) in Trondheim, Norway, where he has been employed since September 2021. He also holds an Associate Professor position at the Polytechnic University of Catalonia (UPC) in Barcelona, Spain, since 2018. His research focuses on high-energy astrophysics with particular emphasis on neutron stars, black holes, white dwarfs, and compact objects in binary systems. Dr. Linares earned his Physics Degree from Universitat de Barcelona (1998-2004) followed by a PhD in Astronomy from Universiteit van Amsterdam (2004-2009). His subsequent career includes prestigious fellowships including Rubicon Fellow at MIT (2009-2012), IAC Fellow (2012-2017), and Marie Curie Fellow at UPC (2017-2018). His research interests primarily center on compact binary systems, particularly millisecond pulsars known as 'spiders' (including black widows and redbacks), neutron star physics, accretion flows, thermonuclear bursts, and the search for super-massive neutron stars. His work combines observational astronomy with theoretical modeling to understand extreme physics in these systems. He leads the LOVE-NEST project, which investigates compact binary millisecond pulsars to find the most massive neutron stars and understand the interaction between accretion flows, pulsar winds, and neutron star magnetospheres. An analysis of his recent publications reveals a strong focus on spider pulsar systems, with particular attention to mass measurements, orbital dynamics, irradiation effects, and the relationship between accretion and rotation-powered states. His work spans multiple observational wavelengths including optical, X-ray, and radio, often utilizing data from major telescopes and space observatories. ERC Consolidator Grant for LOVE-NEST project Marie Curie Fellow IAC Fellow Rubicon Fellow Dr. Linares has supervised numerous students at various levels, including PhD candidates, Master's students, and undergraduate research projects. He currently leads a substantial research team under the LOVE-NEST project, which has received 2M EUR in funding. His group includes multiple postdoctoral fellows and PhD candidates working on various aspects of compact object astrophysics. He teaches Observational Astrophysics (FY3215) at NTNU and has previously taught Quantum Physics and Physics I at UPC. He is the principal investigator of the LOVE-NEST (Looking for Super-Massive Neutron Stars) research group at NTNU, which focuses on compact binary millisecond pulsars. This team conducts research using multiple observational facilities worldwide and collaborates with international groups including those at the Instituto de Astrofísica de Canarias and the University of Manchester.

• Galaxy Evolution
• Active Galactic Nuclei (AGN)
• Interstellar Medium (ISM)
• +۳ مورد دیگر

Jarle Brinchmann is an Associate Professor at Leiden University's Leiden Observatory, part of the Faculty of Science. He holds a PhD from the University of Cambridge and has held postdoctoral positions at Oxford University, the Max Planck Institute for Astrophysics, and the University of Porto. His research focuses on galaxy evolution, active galactic nuclei (AGN), and interstellar medium dynamics. Notable contributions include studies on gas outflows in galaxies and emission line diagnostics for AGN identification. Recent work includes analysis of Lyman-alpha emitters and binary star systems in globular clusters using the MUSE instrument. Education: BSc and MSc in Astronomy from the University of Oslo, PhD from the University of Cambridge (thesis: 'The physical evolution of galaxies'). Research emphasizes observational and theoretical astrophysics, with a focus on high-redshift galaxies, intergalactic medium interactions, and stellar populations. Collaborates widely on large-scale surveys and spectroscopic analyses.