Auditors

Auditors are students from institutions that host DSFP sessions, who attend individual sessions and remain part of the DSFP online community following their participation. Host institutions are given ~4 spots for auditing students to attend during the week they are hosting the DSFP. 

 
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Dino Bekteševic


University of Washington
Session 4

Dino is an astronomy PhD student at University of Washington. He studies computer vision techniques and their application on sky surveys, with special interest in linear features attributed to meteors.

 
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Sihao Cheng

Johns Hopkins University
Session 5

Sihao is a graduate student at Johns Hopkins University. He is now working with Dr. Adam Riess on measuring distances of elliptical galaxies by Mira variables.

 
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Adam Dempsey

Northwestern University
Intro to Data Science - Session 1

Adam is a graduate student in astronomy at Northwestern University working with Yoram Lithwick. His research focuses on hydrodynamical simulations of planet formation, but he is also interested in the evolution of planetary systems, spiral waves in accretion disks, GPU and high performance computing, and using large survey datasets to map the Galactic potential.

 
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Cody Lee Dirks


Northwestern University
Intro to Data Science - Session 1

Cody is a graduate student in astronomy at Northwestern University. His research is in observational studies of the diffuse interstellar medium, focusing on understanding how the diffuse ISM transitions into molecular star-forming regions.

 
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Dillon Dong


California Institute of Technology
Machine Learning and Visualization - Session 2

Dillon is a Ph.D student in Astronomy at Caltech. He is currently studying star formation in nearby galaxies with the Star Formation in Radio Survey, and exploring the transient radio sky with the VLA Sky Survey.

 
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Meredith Durbin


University of Washington
Session 4

Meredith is a graduate student at the University of Washington. Their work focuses on resolved stars in nearby galaxies, including characterizing emission-line stars in M31 and predicting WFIRST's ability to measure ages and metallicities of halo populations.

 
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Matt Hartley


California Institute of Technology
Machine Learning and Visualization - Session 2

Matt is a Caltech graduate student searching for cataclysmic variables, and other rare and unusual sources, using light curves from the Palomar Transient Factory.

 
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Anna Ho


California Institute of Technology
Machine Learning and Visualization - Session 2

Anna is a graduate student at Caltech, working on the search for orphan afterglows to GRBs in preparation for the ZTF era. She is also interested in millisecond pulsars and data-driven modeling of stellar spectra.

 
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Miaotianzi Jin


Northwestern University
Intro to Data Science - Session 1

Miaotianzi is an experimental physicist at Northwestern University. He is searching for Dark Matter directly with underground bubble chambers, and he is also interested using machine learning to help analyzing bubble pictures.

 
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Bryce Kalmbach


University of Washington
Session 4

Bryce is a graduate student at the University of Washington and a member of the LSST Dark Energy Science Collaboration. He is interested in applying statistical techniques and machine learning to astronomical datasets and currently focusing on using these in ways that can improve photometric redshift estimation.

 
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William (D'Arcy) Kenworthy


Johns Hopkins University
Session 5

William is a first year PhD student currently at Johns Hopkins. His research currently focuses on supernova Ia and distance-ladder cosmology, with interests in quasar physics. He goes by his middle name, D’Arcy.

 
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Matt Kirby


University of Arizona
Databases and Scalable Programming - Session 3

Matt is a graduate student in physics at the University of Arizona. He is interested in using photometric galaxy surveys to constrain cosmology and cluster scaling relations. While he currently works with galaxy clusters, he is also interested in using both weak lensing and supernovae.

 
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Lee Rosenthal


California Institute of Technology
Machine Learning and Visualization - Session 2

Lee is a graduate student at the California Institute of Technology. His first research project involves exploring database search methods for supernovae candidates in the Palomar Transient Factory and Zwicky Transient Facility.

 
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Jan-Torge Schindler


University of Arizona
Databases and Scalable Programming - Session 3

J-T is working with Prof. Xiaohui Fan on an all-sky catalog of bright high redshift quasars to study the early growth of the most massive SMBHs, update the bright end of the quasar luminosity function and provide new quasar sight lines for studies of the Intergalactic Medium.

 
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José Vines


University of Chile, Chile
Intro to Data Science - Session 1

José is an astronomy and computer science student at the University of Chile in Chile. His main interest is extrasolar planets (aka. exoplanets) and their formation.

 
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Erika Wagoner

University of Arizona
Databases and Scalable Programming - Session 3

Erika is a graduate student in physics at University of Arizona. She is interested in baryon acoustic oscillations using photometric galaxy surveys including the Dark Energy Survey and LSST.

 
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Kuan Wang

University of Pittsburgh
Session 6

Kuan is a graduate student at the University of Pittsburgh. Her research interests include constraining galaxy-halo connections using N-body simulations. She is also interested in dark matter halo properties in simulations.

 
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Qinan Wang


Johns Hopkins University
Session 5

Qinan holds wide interest in cosmology and extragalactic astronomy. He has been working in Cosmic Large Angular Scale Surveyor(CLASS) group on instrumentation and he's planning to do a rotation project on observing multi-phase outflow of forming galaxies and AGN.

 
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Brian Welch


Johns Hopkins University
Session 5

Brian is a graduate student at John Hopkins University. He is interested in extragalactic astronomy and the physics of galaxy clusters, and is also currently working on an ultraviolet multi-object spectrograph instrumentation project.

 
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Wang Kei (Kaze) Wong


Johns Hopkins University
Session 5

Kaze's current project is analysing the relation between GALEX and serval other surveys to predict a full sky map in UV. He is interested in multimessenger astrophysics, analysing large survey datasets jointly and large scale structure.

 
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Rongpu Zhou


University of Pittsburgh
Session 6

Rongpu is a PhD student at University of Pittsburgh. His current work uses photometric redshifts to study the galaxy clustering and the large-scale structures. He is interested in applying machine learning methods on current and future galaxy surveys.