2018 LSSTC Data Science Fellows

 
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Christian Aganze

University of California San Diego
2018 LSSTC Data Science Fellow

Christian is a 3rd year graduate student at UC San Diego interested in low-mass stars (M, L, T, Y dwarfs) and exoplanets. His current project uses HST data to find the farthest L& T dwarfs aiming to constrain the structure of the Milky Way disks and halo.

 
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Husni Almoubayyed

Carnegie Mellon University
2018 LSSTC Data Science Fellow

Husni is a Ph.D. candidate in physics at Carnegie Mellon University. He works on mitigating weak gravitational lensing systematics, and on the LSST's observing strategy, as a member of the LSST DESC. He is also passionate about artificial intelligence and generally enjoys solving challenging interdisciplinary problems in novel computational ways.

 
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Humna Awan

Rutgers University
2018 LSSTC Data Science Fellow

Humna is a fourth-year graduate student at Rutgers University, broadly interested in studying cosmology using large galaxy surveys like LSST. Humna specifically focuses on large-scale structure and studying different relevant aspects of various galaxy surveys, including understanding the systematics induced by telescope observing strategy, developing statistical tools to fully realize the data-driven understanding of our universe, and applying them to observed data to extract cosmological information.


 
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Daniela Barrientos Acevedo

Universidad de Chile
2018 LSSTC Data Science Fellow

Daniela is a Master student in Astronomy at Universidad de Chile. Her research is focused on the observational aspects of galaxy formation and evolution. Currently, she is studying star-forming galaxies using deep field photometry data to model galaxy properties at redshifts between 2 and 4.

 
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Jorge Cortes

Columbia University
2018 LSSTC Data Science Fellow

Jorge is a PhD student at Columbia University. He is mainly interested in compact objects, late-stage stellar evolution, and extrasolar planets. In his recent work, Jorge explored LSST's ability to detect planets around white dwarfs.

 
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Veronica Dike

University of California Los Angeles
2018 LSSTC Data Science Fellow

Veronica Dike is a PhD student at University of California Los Angeles. Her research uses the Blanco DECam Bulge Survey (BDBS) to study stellar populations in the Galactic bulge and to examine crowded-field photometry techniques.

 
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Caitlin Doughty

New Mexico State University
2018 LSSTC Data Science Fellow

Caitlin Doughty is a PhD candidate at New Mexico State University in southern New Mexico.  She uses hydrodynamic cosmological simulations to study galaxy evolution during the epoch of hydrogen reionization, and is interested in using the absorption associated with the circumgalactic and intergalactic media to learn about galaxy activity during this period.

 
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Nora Eisner

University of Oxford
2018 LSSTC Data Science Fellow

Nora is a PhD student at the University of Oxford, UK. She is interested in the discovery and characterization of exoplanets and will be harnessing the power of citizen-science in order to find signals and make sense of TESS data where automated methods struggle. She is looking forward to applying machine learning, both up- and downstream of the citizen participation, and to carrying out follow-up observations of the most promising results.

 
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H. Perry Hatchfield

University of Connecticut
2018 LSSTC Data Science Fellow

H. Perry Hatchfield is a PhD student at the University of Connecticut. His research focuses on using both hydrodynamic simulations and large surveys to understand massive star formation and gas dynamics in the Milky Way. In particular, he is interested in studying how extreme environments, such as the Milky Way's galactic center, can affect the formation of stars. 

 
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Karl Jaehnig

Vanderbilt University
2018 LSSTC Data Science Fellow

Karl is a Ph.D candidate at Vanderbilt university through the Fisk-Vanderbilt Masters-to-Doctorate Bridge program. They are interested in the dynamics and evolution of binary stars in star clusters and their role in the formation of blue straggler stars as well as other exotic stellar objects.

 
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Nickolas Kokron

Stanford University
2018 LSSTC Data Science Fellow

Nick is a PhD student at Stanford University. His interests lie broadly at the intersection of theoretical and observational cosmology. He is currently a member of the Dark Energy Survey (DES), where he carries out research under the Weak Lensing and Theory & Combined Probes working groups.

 
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Harsh Kumar

Indian Institute of Technology, Bombay
2018 LSSTC Data Science Fellow

Harsh is a Ph.D. student at Indian Institute of Technology, Bombay. His research focus on Electromagnetic counterparts of gravitational waves, transients follow-up. He is a part of GROWTH-India team. Apart from this, Harsh loves playing badminton and sketching.

 
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Devina Misra

University of Geneva
2018 LSSTC Data Science Fellow

Devina is a PhD student at the Observatory of Geneva (University of Geneva). Her current work is to understand the formation history and accretion processes of ULXs. She is interested in compact objects, gravitational waves, and stellar and binary evolution computations. 

 
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Siddharth Mohite

University of Wisconsin - Milwaukee
2018 LSST Data Science Fellow

Siddarth is a PhD student at the University of Wisconsin - Milwaukee. He is a member of the LIGO collaboration and his research currently focuses on using Bayesian inference and machine learning algorithms such as Gaussian processes to infer the mass distribution of compact objects such as neutron stars and black holes. Siddarth’s main interest broadly lies in gravitational wave astrophysics and in analyzing big data sets for multi-messenger astronomy. His other passions include traveling and cricket.

 
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Robert Morgan

University of Wisconsin-Madison
2018 LSSTC Data Science Fellow

Robert is a Ph.D. student in Physics at the University of Wisconsin-Madison. He studies supernovae with the goal of probing the expansion of the universe using large optical surveys. Recently, he has been working in multimessenger astronomy by searching for supernovae that could be the sources of neutrinos detected by IceCube at the South Pole.

 
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Imad Pasha

Yale University
2018 LSST Data Science Fellow

Imad Pasha is a first-year graduate student at Yale University. His research has focused primarily on observational studies of galaxy evolution across various redshift regimes, and on fitting with, and testing, stellar population synthesis models in bayesian frameworks.

 
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Caprice Phillips 

University of Texas at Austin
2018 LSSTC Data Science Fellow

Caprice is a PhD student at the University of Texas at Austin. Her current research involves the characterization of brown dwarfs in young moving groups using spectroscopy and adaptive optics.

 
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Prabhani Rajakaruna

University of Toledo
2018 LSST Data Science Fellow

Prabhani is an Astronomy Ph. D. student at the Ritter Astrophysical Center in the University of Toledo. She is currently studying the properties of the globular clusters in M33 galaxy using their radial velocities. Her interests also include data science and astronomical instrumentation. In the long term, she would like to apply her knowledge and experience to improve astronomical observations and processing big-data.

 
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Christian Rodriguez

University of California, Irvine
2018 LSSTC Data Science Fellow

Christian is a graduate student at the University of California, Irvine. His research interests range from exoplanet characterization to active galactic nuclei and using them as tools to answer questions in a cosmological context. As an all-around science enthusiast, Christian loves sharing science with young minds and adults alike in hopes of inspiring the next generation while bridging the gap between scientists and the general public.

 
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Nancy Thomas

California Institute of Technology
2018 LSSTC Data Science Fellow

Nancy is a PhD candidate in planetary science at Caltech. She is a member of the MSL Curiosity science and operations team and researches salts and aqueous processes in Gale Crater using the ChemCam instrument.