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Science Collaboration Mentors

Active Galactic Nuclei (AGN)

Roberto J. Assef

He/Him

Contact | Website

I am interested in using LSST to studying the evolution of quasars through cosmic time, particularly in context of their obscuration and luminosity function. I am also interested in using LSST to gather insights into quasar environments in a large range of luminosity and redshifts. I have been organizing the activities of the photometric redshift subgroup of the AGN Science Collaboration. I led three cadence notes early these year, focusing on the effects of the observing strategies being considered on AGN photo-z accuracy as well as on the number of quasars expected in the survey.

Manda Banerji

She/Her

Contact | Website

I am interested in understanding galaxy formation and evolution using statistical samples and multi-wavelength surveys. My past research has focused on topics as diverse as galaxy photometric redshifts and spectral energy distribution modelling, galaxy morphologies and the co-evolution of galaxies and their constituent supermassive black holes.

Franz E. Bauer

He/Him

Contact | Website

My research group at UCatólica in Santiago, Chile works on a wide variety of topics involving massive BH and galaxy classification, demographics, evolution, and accretion physics, as well as rapid/extreme extragalactic variability events (Changing-State AGN, SNe, TDEs, FXRTs, ULXs, GW events, ...), using both traditional and machine-learning approaches.

W. Niel Brandt

He/Him

Contact | Website

W. Niel Brandt is a Professor in the Department of Astronomy & Astrophysics at Penn State University. Brandt uses a wide variety of astronomical facilities to study the demographics, physics, and ecology of active galaxies and other cosmic sources. He is an author of more than 600 research papers and leads a small research group including postdoctoral researchers, graduate students, and undergraduate students. Brandt has served as the Chair/Co-Chair of the AGN SC for many years, and has also served in several other Rubin LSST positions.

Paolo S. Coppi

He/Him

Contact | Website

I started out as a theorist, working on radiation processes near black holes and in jets. Over time, my interests broadened to include understanding where and how black holes form, especially the supermassive ones. Hence my interest in multi-wavelength AGN/galaxy surveys and LSST. I am a co-developer of the EAZY photometric redshift code, and I have significant experience with high-energy astrophysics missions, e.g., I was one of the US science representatives on the ASTRO-H/Hitomi misson, and I am currently on the Fermi Users Group.

Xiaohui Fan

He/Him

Contact | Website

The University of Arizona is on the founding members of LSSTC. It is also one of the LINCC institutions, is co-located with Rubin/NORILab. There are LSST related research activties across campus as well as in collaboration with NOIRLab, covering many key science and technial areas of LSST. My main interests in LSST is on the evolution of quasars and AGN, espeially at high-redshift, in the context of using them to probe supermassive black hole growth in the early universe, black hole/galaxy co-evolution, the history of cosmic reionization and the roles AGN played in this process.

Matthew J. Graham

He/Him

Contact | Website

I am interested in the application of machine learning and other advanced statistical techniques to astrophysical time series, and particularly the study of stochastic/aperiodic variablility in astronomical populations, e.g., AGN. In recent years, I have employed RNNs, Bayesian blocks, and Slepian wavelets, for example, to study extreme AGN optical variability and SMBH binaries, significant flaring events, changing-look quasars, and candidate EM counterparts to compact object mergers in AGN disks.

Gordon Richards

Contact | Website

Drexel has been an institutional member of LSSTC since 2009 and I have been very actively engaged in the AGN Science Collaboration -- organizing the telecons since January 2019 and acting as co-chair since summer 2021. I am interested in understanding the physics of accretion disks and what LSST can do to help understand the diversity of AGN properties and the physics that drives those differences.

Dark Energy (DESC)

Camille Avestruz

She/Her

Contact | Website

My research group is interested in a range of computational methods in cosmology.  Within DESC, group members are involved with projects in the clusters, large scale structure, and blending working groups.  We have contributed to DESC infrastructure including the cluster mass modeling and blending toolkit topical teams.  Furthermore, the group has several ongoing efforts that make use of machine learning applications in several subfields of cosmology and astrophysics.  Complementary to current DESC activities, there are also a number of projects that leverage cosmological simulations to und

Franz E. Bauer

He/Him

Contact | Website

My research group at UCatólica in Santiago, Chile works on a wide variety of topics involving massive BH and galaxy classification, demographics, evolution, and accretion physics, as well as rapid/extreme extragalactic variability events (Changing-State AGN, SNe, TDEs, FXRTs, ULXs, GW events, ...), using both traditional and machine-learning approaches.

Eric Gawiser

He/Him

Contact | Website

As the Analysis Coordinator of DESC, I pay attention to all cosmological probes of dark energy and dark matter.  Previously, I served as Deputy Spokesperson and as a Large-Scale Structure working group convener.  I am also a member of the Galaxies SC and active in the Simons Observatory, HETDEX, ODIN, LADUMA, and JWST-CEERS collaborations.  Most of my previous postdoctoral mentees now occupy faculty positions.  

Tesla Jeltema

She/Her

Contact | Website

Cosmology with cluster of galaxies including calibration of cluster selection with multiwavelength data and simulations; Astrophysical probes of dark matter including probes of self-interacting dark matter and dark matter indirect detection

Akhtar Mahmood

He/Him

Contact | Website

I am interested in working on developing algorithms and software needed to pursue accurate cosmological studies using weak lensing - quantitative assessment of potential biases in photometric redshift/cosmic shear estimators, and to develop solutions for tomographic cosmic shear analyses. At DESC, I am involved with DESC’s PhoSim (Photon Simulator) project. I am running the PhoSim jobs (generating the PhoSim simulation data) on the Bellarmine Tier 2 HPC cluster that is linked to the Open Science Grid (OSG) cyberinfrastructure using Condor.

Vivian Miranda

She/Her

Contact | Website

My research is focused on probing inflation, the epoch of reionization, and dark energy with the Cosmic Microwave Background. I am also keen on understanding how extensions of the LCDM model can be constrained by combining the CMB with low redshift probes. As a postdoc, I have developed research on testing fundamental assumptions about the standard model using model-independent techniques. Finally, my work stands on the bridge between theory and data, and I am open to radically new ideas, as long as they can be falsified by either the CMB or the DES/LSST/Roman surveys.

Gautham Narayan

He/Him

Contact | Website

My research interests are at the intersection of multi-messenger and time-domain astrophysics, cosmology, statistics, and data science. I works on wide-field surveys including LSST DESC (where I am Deputy Analysis Coordinator) and the Young Supernova Experiment (where I am one of the co-PIs).

Jeffrey Newman

He/Him

Contact | Website

My primary DESC activity has been focused on photometric redshifts (methods, training data, and characterization of the results). I served as inaugural Convener of the DESC Photometric Redshifts working group and inaugural Analysis Coordinator of the collaboration, two terms as Deputy Spokesperson, and now am Co-convener of the DESC External Synergies Working Group. Although my primary focus is DESC, I am also a member of the Galaxies, AGN, and ISSC Science Collaborations.  

Brian Nord

He/Him

Contact | Website

I'm working to apply simulation-based (implicit likelihood) inference techniques for strong lensing and galaxy cluster analyses. I also work on Citizen Science for LSST. 

Ricardo Vilalta

He/Him

Contact | Website

Our research laboratory intends to provide state-of-the-art techniques in analyzing scientific data, emphasizing the use of machine learning to analyze astrophysics data—the laboratory centers mainly on developing machine learning tools tailored to astrophysics and cosmology problems. Specifically, we aim at developing physics-informed machine learning models that incorporate domain knowledge as bias into the induction of predictive models. We consider specialized deep neural networks and differential equations as part of the model-building process. 

Galaxies

Manda Banerji

She/Her

Contact | Website

I am interested in understanding galaxy formation and evolution using statistical samples and multi-wavelength surveys. My past research has focused on topics as diverse as galaxy photometric redshifts and spectral energy distribution modelling, galaxy morphologies and the co-evolution of galaxies and their constituent supermassive black holes.

Rebecca Bowler

She/Her

Contact | Website

Rebecca works on the evolution of high-redshift galaxies (z >= 4). Her previous experience is in using ground-based optical and near-infrared data to search for luminous sources up to z = 10 and to compute their evolving luminosity functions. She is co-lead of the Photo-z and SED fitting group within the Galaxies group, where she works on simulating high-z galaxy populations that will be found from combing Rubin with Euclid data

W. Niel Brandt

He/Him

Contact | Website

W. Niel Brandt is a Professor in the Department of Astronomy & Astrophysics at Penn State University. Brandt uses a wide variety of astronomical facilities to study the demographics, physics, and ecology of active galaxies and other cosmic sources. He is an author of more than 600 research papers and leads a small research group including postdoctoral researchers, graduate students, and undergraduate students. Brandt has served as the Chair/Co-Chair of the AGN SC for many years, and has also served in several other Rubin LSST positions.

Sarah Brough

She/Her

Contact | Website

My overriding interest is galaxy evolution as a function of environment. I particularly focus on optical observations at low redshift.  Within that I have special interest in Brightest Cluster Galaxies and low surface brightness astronomy - particularly intracluster/intragroup light and tidal features. Current Co-Chair of Galaxies Low Surface Brightness Working Group (Galaxies liaison in Rubin Survey Cadence Optimization Committee, Australian Science Lead for Rubin Observatory)

Ricardo Demarco

He/Him

Contact | Website

Interested in the study of galaxies, clusters of galaxies and large-scale structures in the universe, particularly in the context of galaxy formation and evolution. Most of the work done so far has been focused on high-redshift (z>0.8) galaxies in high-density environments. The main scientific driver of this is to understand the star formation quenching process in galaxies (nature vs. nurture). More recently, I have been extending my research to lower redshift clusters of galaxies.

Benne Holwerda

He/Him

Contact | Website

The combination of an LSST deep drilling field on the Chandra Deep Field South and HI observations in this field by the MeerKAT radio telescope opens up the possibility for synergy science using information from both: evolution in the Tully-Fischer relation, gas supply and galaxy properties etc. Member since 2006.  Attended and spoke at Galaxies SC meeting in Oxford in 2016.  Gave the Galaxies SC presentation at the 2006 LSST All-Hands Meeting (at SLAC, before it was always in Tucson).  Contributed a figure and section to the LSST Science Book Galaxies chapter.  

Sugata Kaviraj

He/Him

Contact |

My main interests are in galaxy formation and evolution. My work combines multi-wavelength survey data (from UV to radio) with cosmological simulations and machine-learning techniques for the exploitation of large surveys (all ‘in house’). My work has covered a wide range of topics, such as the formation of elliptical galaxies, extra-galactic star clusters, the role of mergers in influencing galaxy evolution, the impact of AGN and supernova feedback and the evolution of dwarf galaxies. I have been a member of the Galaxies SC since 2015.

Brant Robertson

He/Him

Contact | Website

My scientific interests include theoretical topics related to galaxy formation, dark matter, hydrodynamics, machine learning, and numerical simulation methodologies. In the context of Rubin Observatory and LSST, I have been interested in applying learning techniques to analyze and classify the deep and wide-area images that LSST will provide. The primary scientific motivation is to understand the connection between evolving galaxy morphologies, the growth of cosmological structure, and cosmic environment.

John Stott

He/Him

Contact | Website

My research focuses on the evolution of galaxies with environment, encompassing both cluster galaxy evolution and the reasons for the peak in star formation rate seen at cosmic noon. I plan to use LSST to study the evolution of galaxies within clusters out to z=1.5 and beyond, with the kind of representative, evolution matched, cluster mass samples that only LSST can provide. I have also recently been using novel machine learning and computer vision techniques to detect galaxy clusters in preparation for LSST.

Ann Zabludoff

She/Her

Contact | Website

All branches of astronomy and astrophysics intrigue me, and my work has encompassed observational surveys and techniques, theory, and instrument design.

Informatics and Statistics (ISSC)

Eric Feigelson

He/Him

Contact | Website

 I am interested in variable star surveys (as a member of the TVS Science Collaboration) and cross-disciplinary interests associated with statistical methodology (as a core member of the ISSC).  Both are challenged by the analysis of LSST lightcurves with sparse and irregular cadences.  I am currently engaged in ARIMA modeling of 2 million HATSouth lightcurves in the search for transiting exoplanets, and periodicity search with ZTF photometry in the study of rotation and magnetic dynamos in young stars.  I lead a proposal for a LSST micro-survey of an intensive study of one field during one

Matthew J. Graham

He/Him

Contact | Website

I am interested in the application of machine learning and other advanced statistical techniques to astrophysical time series, and particularly the study of stochastic/aperiodic variablility in astronomical populations, e.g., AGN. In recent years, I have employed RNNs, Bayesian blocks, and Slepian wavelets, for example, to study extreme AGN optical variability and SMBH binaries, significant flaring events, changing-look quasars, and candidate EM counterparts to compact object mergers in AGN disks.

Hermine Landt

She/Her

Contact | Website

I use the reverberation echo-mapping technique in order to study the inner structure of AGN, in particular the centrally obscuring dust emitting at infrared wavelengths. Such work involves modelling of optical photometric and spectroscopic light-curves, which are subsequently smoothed and shifted in order to determine the time delay between time series observed in different frequency bands. Currently preferred models are based on Gaussian Processes, which we have used successfully and extensively.

Tom Loredo

He/Him

Contact | Website

I'm an astrostatician who works mainly on cosmic demographics problems and time series problems, across many subareas of astrophysics—minor planets (TNOs/KBOs), exoplanets, extragalactic astronomy, high-energy astrophysics (GRBs, X-ray pulsars, supernova neutrinos, UHE cosmic rays), and cosmology. I helped introduce modern Bayesian methods into astronomy in the late 1980s and 1990s, including use of hierarchical Bayesian methods for cosmic demographics.

Gordon Richards

Contact | Website

Drexel has been an institutional member of LSSTC since 2009 and I have been very actively engaged in the AGN Science Collaboration -- organizing the telecons since January 2019 and acting as co-chair since summer 2021. I am interested in understanding the physics of accretion disks and what LSST can do to help understand the diversity of AGN properties and the physics that drives those differences.

Ricardo Vilalta

He/Him

Contact | Website

Our research laboratory intends to provide state-of-the-art techniques in analyzing scientific data, emphasizing the use of machine learning to analyze astrophysics data—the laboratory centers mainly on developing machine learning tools tailored to astrophysics and cosmology problems. Specifically, we aim at developing physics-informed machine learning models that incorporate domain knowledge as bias into the induction of predictive models. We consider specialized deep neural networks and differential equations as part of the model-building process.

Strong Lensing (SLSC)

Timo Anguita

He/Him

Contact | Website

In general I am interested in strong lensing in all of its scales. However, most of my interest is towards strongly lensed quasars: measuring H0, massive (lens) galaxies structure and evolution, and background AGN characterization through microlensing. I am particularly interested in using microlensing affected lensed quasar light curves to study the structure of background accretion disks.

Graham Smith

He/Him

Contact | Website

I have a broad background in extragalactic astronomy and cosmology, including strong and weak gravitational lensing, galaxy cluster physics, galaxy evolution, and large scale structure. I now focus on gravitationally lensed explosive transients of all kinds, with a special interest in working towards detecting the kilonova counterpart to a gravitationally lensed binary neutron star merger. Rubin will be key to this, given its wide field of view and sensitivity.

Aprajita Verma

She/Her

Contact | Website

I am interested in the discovery and analysis of strong lenses discovered in Rubin. In particular, I am interested in the source properties of very high redshift strongly lensed galaxies as well as the properties of high redshift lenses. From a technical perspective, I contribute to the development of the strong lensing pipeline and the challenges faced by strong lensing discovery in Rubin data. This includes the integration of machine learning discovery algorithms and the interplay with visual inspection through citizen scientists.

Stars, Milky Way, and Local Volume (SMWLV)

Leo Girardi

He/Him

Contact | Website

My main interests are in the fields of stellar evolution and stellar populations in the Local Group, essentially any aspect that involves the star counts -- for instance inferences on the MW distribution of stellar mass and its star formation history, constraints to stellar evolution from star clusters, binaries and the distribution of their properties, statistics of very cool stars in the AGB, etc.

John Gizis

He/Him

Contact | Website

My main research interests are in the solar neighborhood, very-low-mass stars, and brown dwarfs: MLTY dwarfs and subdwarfs.  I am co-chair of the Stars, Milky Way & Local Volume Science Collaboration. I have been working on astrometry with LSST and plan to participate in Commissioning Activities. I am interested in applying machine learning to LSST datasets, and am Associate Director of U. Delaware's Data Science Institute.  

Knut Olsen

He/Him

Contact | Website

Knut Olsen's research interests span a broad range in the general area of stellar populations.  He is particularly interested in looking for evidence for processes of galaxy formation and evolution in the stars contained in nearby galaxies.  He has looked for clues to these processes in globular cluster systems, in the star formation history of field stars, in the interaction of massive stars with their surroundings, in internal galaxy dynamics, and in the faint structure of the outskirts of galaxies.  Techniques that he has applied to these problems include crowded field photometry, stella

R. Michael Rich

He/Him

Contact | Website

My principle research interest is in the Galactic bulge and stellar populations. I am interested in the age and origin of the bulge and thick disk, and the relationship of those populations to the inner halo and globular clusters. I have also worked on the binary star content of the local Galactic halo population, and am interested in dwarf galaxies, as well as the low surface brightness Universe, and resolved stellar populations of galaxies in the Local Volume. I am a member of the Stars, Milky Way, and Local Volume collaboration, as well as the Galaxies science collaboration.

Solar System (SSSC)

Mikael Granvik

He/Him

Contact | Website

My interests include small-body populations and, in particular, near-Earth objects. With the data provided by LSST my aim is to understand the debiased distribution of NEOs and establish an evolutionary link between the physical and dynamical properties of main-belt asteroids and NEOs. I also have an interest in certain subpopulations of NEOs such as minimoons and those with small perihelion distances, and in particular their rapid follow-up observations with other facilities such as the NOT.

Sarah Greenstreet

She/Her

Contact | Website

Sarah Greenstreet is a research scientist at the University of Washington and the near-Earth objects (NEOs) and interstellar objects (ISOs) working group lead within the Solar System Science Collaboration. As the NEO and ISO working group (WG) lead, she works to support the NEO and ISO science community in preparing to do science with LSST and to provide a voice for the WG to ensure their science goals will be met by the survey. Sarah studies small body populations across the Solar System, including NEOs, asteroids, giant-planet co-orbitals, and Kuiper belt objects.

Matthew J Holman

He/Him

Contact |

My background is in solar system dynamics, but I have also been active in observational searches for solar system bodies and exoplanets, as well as in the development of efficient algorithmic solutions to difficult problems.  To that end, I plan to be involved in developing and refining tools to extend the senstivity of the Rubin Observatory to unusual types of objects (interstellar objects, very distant bodies, objects in highly inclined orbits, etc).  In addition, I hope to be involved in characterizing the efficiency and completeness of the LSST.

Michael Kelley

She/Her

Contact |

I study comets, especially their dust properties, activity, and transient behaviors like outbursts.  With Rubin Observatory and LSST, we expect the discoveries of many new Solar System comets and potentially cometary interstellar objects.  Characterizing these discoveries, through LSST data and follow-up observations, will help us understand how small Solar System objects evolve, and which of their present day properties can be traced back to their formation environments.  Relevant topics include: cometary outburst/fragmentation/disintegration discovery, dynamics, and causes; cometary nucle

Matthew Knight

He/Him

Contact | Website

I am interested in comets, asteroids, and interstellar objects. My primary areas of study are using comets’ gas and dust coma morphology to infer rotational properties of their nuclei, in obtaining rotational lightcurves of distant or weakly active comet nuclei or asteroids, and in exploring the physical properties of objects with extremely small perihelion distances.

Darin Ragozzine

He/Him

Contact | Website

Darin is a long-time member of the Solar System Science Collaboration working on the outer solar sytem and interstellar objects. He is particularly interested in basic and advanced dynamical characterization of solar system small bodies (especially binaries and multiples) and has recently received NASA support to develop a new tool in this regard. He is a recognized expert in solar system and exoplanet orbital dynamics. He has mentored a wide variety of undergraduate and graduate students and has supported postdocs in both scientific endeavors and career advice.

William Reach

He/Him

Contact | Website

With a qualitatively new observatory, the ony the we can predict with confidence is that we will see things we don't already know about. I'm interested in the rocky and icy bodies that communicate between different parts of stellar systems. That includes comets and their debris, both from outgassing and from splitting and outburst events. Asteroid collisions (and activity) will produce "extended asteroid" objects in the LSST. Also we should be on the lookout for changes around other stars due to "dust production events" from their planetary systems.

David Trilling

He/Him

Contact | Website

David Trilling is professor at Northern Arizona University and co-chair of the Solar System Science Collaboration. He leads the development of the SNAPS (Solar System Notification Alert Processing System) broker, which is being co-developed with the NAU computer science department. His research covers Near Earth Objects, main belt asteroids, and trans-Neptunian objects, and other kinds of asteroid and weird populations in the Solar System (and beyond). He has mentored a large number of undergraduate and graduate students and postdocs.

Transients/variable stars (TVS)

Federica Bianco

She/Her

Contact | Website

Federica works on data-driven inference in the time domain on problems in astrophysics, urban science, as well as other complex systems that can be studied through interdisciplinary data-driven approaches.

Rosaria/Sara Bonito

She/Her

Contact | Website

I mainly work on young stellar objects, to investigate their variability at all the time scales, from hours to years. In the context of TVS SC interest, I aim at probing stellar variability, discriminating among different processes, e.g. accretion bursts (also including Exors), warp disk, extinction, etc. These topics have been also explored for the optimization of the Rubin LSST Survey Strategy, e.g. in Bonito & Hartigan et al. 2018 and Bonito & Venuti et al. 2021.

Michael Coughlin

He/Him

Contact | Website

My primary interests involve gravitational waves and their optical counterparts, in particular using kilonovae as probes for the neutron star equation of state and expansion rate of the Universe. Within TVS, I am involved with the survey strategy and software groups, with a focus on technology to detect fast transients with Rubin.

Leo Girardi

He/Him

Contact | Website

My main interests are in the fields of stellar evolution and stellar populations in the Local Group, essentially any aspect that involves the star counts -- for instance inferences on the MW distribution of stellar mass and its star formation history, constraints to stellar evolution from star clusters, binaries and the distribution of their properties, statistics of very cool stars in the AGB, etc.

Kelly Hambleton

She/Her

Contact | Website

KH is the primary contact for the Pulsating Stars Subgroup and is interested in all pulsating stars from RR Lyrae stars to gamma Dor stars to solar-like oscillators. One of her main goals within TVS, and a primary objective of her sub-group, is to generate an updated H-R diagram for pulsating stars through the eyes of Rubin LSST. 

Saurabh Jha

He/Him

Contact | Website

Supernovae; interest in both astrophysics of supernovae (particularly white-dwarf supernovae) via TVS, and the use of SN Ia for cosmology via DESC.

Andrej Prsa

He/Him

Contact | Website

I am interested in transients and variables in general, and eclipsing binaries in particular. I have been a member of the TVS collaboration for over 6 years and intend to fortify the impact that Rubin observatory will have on our science. I would love to work with postdocs interested in computational aspects of Rubin: modeling binary populations, their distribution, extracting astrophysical data from target light curves and interpreting the results.

Markus Rabus

He/Him

Contact | Website

Currently, I am assessing the performance of the LSST pipeline in crowded fields, therefore I analyze DECam images with the pipeline. During the early commissioning phase, I plan to provide observing support and evaluate the photometric and astrometric quality of the commissioning images. My aim is to understand the different noise components and correlations present in the data set, like e.g., systematic noise in the time series. I am interested in evaluating the astrometric errors and understanding their limitations with respect to high proper motion objects.

Rachel Street

She/Her

Contact | Website

My scientific interests focus is on stellar transients, particularly microlensing, exoplanets and a range of stellar science.  I am looking forward to exploring the Milky Way's hidden populations of low-mass stars, brown dwarfs, planets and black holes identified from their lensing signatures.  LSST will be groundbreaking in this field, delivering a deep and wide survey of these populations across different galactic environments where they have previously been inaccessible.  We will be able to determine their mass and spatial distributions, telling us a great deal about their formation and