Visitors

DIRAC Institute hosts visitors from across the world, for short and long term stay. If you are interested visiting the DIRAC Institute, please contact us.

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P A S T   V I S I T O R S

CEA-Saclay/Observatoire de Paris
February 20, 2018. Jean-Charles Cuillandre is an astronomer at the Canada-France-Hawaii Telescope (from Observatoire de Paris). His talk is scheduled for Tuesday, February 20th. Title: The challenge of the distributed Read More
Jean-Charles CuillandreCEA-Saclay/Observatoire de Paris

February 20, 2018.

Jean-Charles Cuillandre is an astronomer at the Canada-France-Hawaii Telescope (from Observatoire de Paris).

His talk is scheduled for Tuesday, February 20th. Title: The challenge of the distributed Euclid survey

Data obtained using the CFH12K camera on the Canada-France-Hawaii Telescope
Image by Jean-Charles Cuillandre (CFHT) & Giovanni Anselmi (Coelum)
“Canada-France-Hawaii Telescope / Coelum” Copyright © 2018 CFHT

 

Vanderbilt University
February 1-2, 2018. Seminar on February 2, 2018 @ 1:00pm I am currently an associate professor in the Astronomy Group in the Physics and Astronomy Department at Vanderbilt University. My research interests lie in the Read More
Andreas A. BerlindVanderbilt University

February 1-2, 2018.

Seminar on February 2, 2018 @ 1:00pm

I am currently an associate professor in the Astronomy Group in the Physics and Astronomy Department at Vanderbilt University. My research interests lie in the areas of large-scale structure and galaxy formation, as well as ultra-high energy cosmic rays. I completed my Ph.D. degree in Astronomy at the Ohio State University, and my A.B. degree inAstrophysical Sciences at Princeton University. Before that, I lived in Athens, Greece where I attended Athens College.

 

Lawrence Berkeley National Laboratory
February 14-16, 2018. Eddie is a Hubble Fellow working at Lawrence Berkeley National Laboratory, trying to understand the structure of the Galaxy, and especially its dust, using observations of stars. Read More
Eddie SchlaflyLawrence Berkeley National Laboratory

February 14-16, 2018.

Eddie is a Hubble Fellow working at Lawrence Berkeley National Laboratory, trying to understand the structure of the Galaxy, and especially its dust, using observations of stars. His most recent work uses the DECam instrument on the Blanco 4-m telescope to image the southern Galactic plane, to understand its stars, gas, and dust. He also uses APOGEE spectroscopy to understand how dust properties vary, and the PS1 survey to infer the three-dimensional structure of the dust in the Milky Way.

 

 

University of Tokyo
 February 12-15, 2018. Naoki Yoshida is a Professor of Astrophysics in the Department of Physics at the University of Tokyo, as well as a  Senior Research Scientist at the Kavli Institute Read More
Naoki YoshidaUniversity of Tokyo

 February 12-15, 2018.

Naoki Yoshida is a Professor of Astrophysics in the Department of Physics at the University of Tokyo, as well as a  Senior Research Scientist at the Kavli Institute for the Physics and Mathematics of the Universe.

Seminar Talk on February 12, 2018 @12:30pm

 

 

 

Princeton University
January 23-24, 2018.   Brown Bag Talk on January 24, 2018 @12-1pm    My main research ranges from small-scale dynamics of two-body systems to the disruption of globular clusters and Read More
Adrian Price-WhelanPrinceton University
January 23-24, 2018.
 
 
My main research ranges from small-scale dynamics of two-body systems to the disruption of globular clusters and satellites of the Milky Way. I’ve therefore spent a lot of time thinking about current and future surveys of Milky Way stars and how to use these data to infer its dynamical history and structure. I’m particularly excited about the Gaia mission and am a co-organizer of the Gaia sprints.

My general interest in statistical inference and dynamics has also led me to projects on binary stars, supermassive black holes, and calibration of the distance ladder.

 

UCLA
  December 13th-15th, 2017.    Talk: Crowded Fields Analysis   Michael Rich is research astronomer at the UCLA. He works on the subject of “Galactic archeology” – the ages, chemistry, kinematics, Read More
Michael RichUCLA
 
December 13th-15th, 2017. 
 
Talk: Crowded Fields Analysis
 
Michael Rich is research astronomer at the UCLA. He works on the subject of “Galactic archeology” – the ages, chemistry, kinematics, and structure of stellar populations at the present epoch (the “fossil record”) as a constraint and primary source of information on theories of galaxy formation and evolution. I use data from Keck and HST to address these programs. These data are complementary to the inferences drawn by study of the distant Universe; a successful theory of galaxy formation/evolution must satisfy constraints from both the fossil record and the distant Universe. My participation in the Galaxy Evolution Explorer (GALEX) science team has opened up a new subject area, galaxy evolution from z=0 to 1. I am PI of the BRAVA and Blanco DECam Bulge Survey programs, and operate a special purpose 0.7m telescope to study low surface brightness dwarfs and halos around nearby galaxies.
LSST
December 11th, 2017.  Concurrently, AURA-LSST is excited to roll out a training video platform called Lynda.com. We were pleased to find out that University of Washington faculty and staff has access Read More
Chris MontgomeryLSST

December 11th, 2017. 

Concurrently, AURA-LSST is excited to roll out a training video platform called Lynda.com. We were pleased to find out that University of Washington faculty and staff has access to Lynda.com. Chris will partner with the proper channels to ensure all LSST Project Members know how to access this resource so we can share videos within teams and subsystems. 
University of California, Berkeley
December 11th – 12th, 2017.  Danny Goldstein is a fifth-year graduate student in the Astronomy Department at UC Berkeley. His work focuses on strongly lensed supernovae. You can find his CV here.   Talk: Read More
Danny GoldsteinUniversity of California, Berkeley

December 11th – 12th, 2017. 

Danny Goldstein is a fifth-year graduate student in the Astronomy Department at UC Berkeley. His work focuses on strongly lensed supernovae. You can find his CV here.

 

Talk: Strongly Lensed Supernovae

When: December 11, 2017 @1:30-2:30pm
Where: WRF Data Science Studio, The Seminar Room

 

 

 

University of Zagreb
April 16 – May 4, 2018    Petar Zečević is a PhD student from University of Zagreb, Croatia. He has been working in the software industry for more than 15 years, Read More
Petar ZečevićUniversity of Zagreb
April 16 – May 4, 2018
  
Petar Zečević is a PhD student from University of Zagreb, Croatia. He has been working in the software industry for more than 15 years, as a full-stack developer, consultant, analyst, and team leader. Petar is the author of Spark in Action book (Manning, September 2016). He also gives talks on Apache Spark, organizes monthly Apache Spark Zagreb meetups, and has several Apache Spark projects behind him.
 
 
 
University of Innsbruck
  November 29th-30th, 2017.   Marleau Francine will lead the AstroMundus Discussion at the UW. Marleau is the Programme Coordinator for AstroMundus, a 2-years Erasmus+: Erasmus Mundus Joint Master Degree programme Read More
Marleau FrancineUniversity of Innsbruck
 
November 29th-30th, 2017.
 
Marleau Francine will lead the AstroMundus Discussion at the UW.
Marleau is the Programme Coordinator for AstroMundus, a 2-years Erasmus+: Erasmus Mundus Joint Master Degree programme in Astronomy and Astrophysics. In June 2017, AstroMundus was selected as a “success story” by a panel of experts from the Directorate-General for Education, Youth, Sport and Culture of the Europena Commission.
University of Chile
July 2017.  Francisco Förster is the PI of the HITS program (a time domain survey using the Blanco 4m at CTIO that has been used for supernova, asteroid, and variable star Read More
Francisco FörsterUniversity of Chile

July 2017. 

Francisco Förster is the PI of the HITS program (a time domain survey using the Blanco 4m at CTIO that has been used for supernova, asteroid, and variable star detection).

John Hopkins University
July 24th -28th 2017. Tamas Budavari is Assistant Professor in the Department of Applied Mathematics & Statistics in the Whiting School of Engineering at the Johns Hopkins University, where he focuses Read More
Tamas BudavariJohn Hopkins University

July 24th -28th 2017.

Tamas Budavari is Assistant Professor in the Department of Applied Mathematics & Statistics in the Whiting School of Engineering at the Johns Hopkins University, where he focuses on computational and statistical challenges of big data.

His contributions to astronomy include Bayesian cross-identification of catalogs, statistical inference of galaxy properties and clustering, as well as advanced data solutions for fast searches against the largest surveys and simulations.

 

University of Cambridge
July – August 2017. Richard McMahon is heavily involved in DES and 4MOST and has been working recently on the detection of lensed QSOs. The main focus of my current research Read More
Richard McMahonUniversity of Cambridge

July – August 2017.

Richard McMahon is heavily involved in DES and 4MOST and has been working recently on the detection of lensed QSOs.

The main focus of my current research is in the study of galaxy formation and evolution in the Epoch of Reionization ; focusing on the discovery and characterisation of high redshift primeval active galaxies andquasars powered by the accretion of matter onto supermassive black holes. My research work includes the discovery of quasars and active galaxies that host supermassive black holes, the determination of the space densities, star formation rates and how and when massive galaxies and quasars form.

This research is centered around the building and use of large scale data intensive techniques using optical and infra-red imaging and spectroscopic sensors on telescopes around the world (primarily in Chile) and in space using Gigapixel cameras and Petsacale multiwavelength datasets. 

 

University of Chile
July 26th – October 26th, 2017. Jorge is a machine learning expert who works on feature selection, identifying which features provide the most information in a data set. Jorge was Read More
Jorge VergaraUniversity of Chile

July 26th – October 26th, 2017.

Jorge is a machine learning expert who works on feature selection, identifying which features provide the most information in a data set.

Jorge was born in Temuco, Chile. He obtained his B.S. and P.E. degrees in Electrical Engineering from the University de La Frontera in 2005 and 2007 respectively.

Jorge obtained his Ph.D. in electrical engineering from the University of Chile in 2015 where he worked on feature extraction and selection method based on information theory. Actually Jorge is a postdoctoral research at the University of Chile and the Millennium Institute of Astrophysics, where he works on selection and extraction of feature group based on mutual information for classification of patterns in astronomical images and time series.

Jorge’s scientific interests are interaction and causality in features selection method using information theoretic, quantization of nonlinear time series and hierarchical learning. The Jorge’s current work focuses in detection of candidate asteroid on stamp images in Moving Object Pipeline System on LSST and dimensionality reduction and feature-learning in astronomical spectroscopic data using Variational Autoencoder.

Working at the UW

In Jorge’s stay at the University of Washington, he works with Andrew Connolly’s team on two main topics:

1)  Study of new strategies to optimize the MOPS process in real time to detect asteroid. In this study they work with unsupervised analysis of images (stamp) and hierarchical classification where they create and select the most relevant individual and group features to discriminate between asteroids and non-asteroid.

2)  Feature Extraction from spectroscopic data using Variational Autoencoder. In this study they work on the dimensionality reduction in spectroscopic data using Variational autoencoder to reconstruct spectroscopic data with with different resolution and to map nonlinear similarities on spectra.