Participants

Add your name and skills below!

Name	Skills	Interests	Project Ideas / Hoping to Learn
James Guillochon	Programming: Python, Mathematica, FORTRAN, C/C++, Javascript, IDL Other: Web design, server management, parallel computing	Data access, tidal disruptions, supernovae, model selection	* Create a Swift and/or Chandra "live" for Twitter, like the @Hubble_live Twitter account. * Create catalog of Brown Dwarfs from P. William's collection. * Add physics to Mosfit, an MCMC light-curve fitting package. * Create Python package for Schlafly & Finkbeiner that yields error bars, like IRSA page.
Atish Kamble	Programming: Python, Scipy, Numpy, Matplotlib, Mathematica, Gnuplot, C Astronomy related: Radio interferometry, AIPS	Supernovae, Gamma-Ray Bursts, Transients, Imaging	* Interfacing with the web catalogues and contributing to sne.space, github etc * Modify a fitting program to implement "freezing" of fit parameters. * Build simple MCMC codes for fitting.
Ashley Villar	Programming: Python Astro Programs: ds9, xspec, dusty Other: statistics, machine learning, scicomm	(Optical) Transients, Supernovae, Astro + Machine Learning, food	* Scraping ATels for useful information * contributing to sne.space
Tarraneh Eftekhari	Programming: Python Astro Programs: CASA, xspec Other: HTML, CSS	Tidal disruption events, 21 cm cosmology, Radio interferometry	* Optimize MCMC fitting routines * Automate pre-existing pipelines
Trae Winter	Python, IDL		* Electronic Hacks * Improved workflows/Better pipeline processes * new programming tips and tricks
Rudy Montez	Python, Jupyter Notebooks, X-ray Analysis, Imaging Analysis		* Natural Language Processing
Penny Qian	Python, Github, Data Visualization		* Machine learning * D3.js
Phil Cowperthwaite
Denis Barkats	Specialist in fighting against Murphy's laws.		* developing and maintaining large pipelines which use various forms of version control * data exploration and data mining * methods and tools others in the field use to do their day-to-day data analysis.
Peter Williams	All sorts of computer stuff, stats, radio data	Many and varied	Productizing my command-line bibliography manager
Lehman Garrison			Adding weighted correlation functions to Corrfunc
Matt Nicholl
Kaisey Mandel
John ZuHone			Python, Julia, yt, simulations
Aneta Siemiginowska	Sherpa modeling and fitting application for Python, X-ray Analysis, Astrostatistics, Jupyter Notebooks
Ben Johnson	Programming: Python, FORTRAN, MPI parallel computing, github Other: Stats, MCMC + Nested sampling, galaxy and stellar spectral models	Many	* learn some web skills * understand and build a python package for slice sampling along Hamiltonian trajectories, add parallelization to squish * hack on issues (minor bugs and features) for fsps and python-fsps * interface existing advanced eclipsing binary lightcurve models with MCMC bayesian fitters.
Fernando Becerra	Programming: Python. Web: HTML, CSS, Javascript, D3.js		* Data Visualization! Bring your ideas and we'll try to implement them on D3. Get some inspiration here
Philip Mocz
Omar Laurino	Python/Java/Groovy HTML/CSS/Javascript Sherpa	Many	Dockerize Sherpa Interface Sherpa with Bokeh or other data visualization tools Interested in working on machine learning projects
Tom Aldcroft	Python, Astropy (code and development process), GitHub, Jupyter, some Django	Developing Astropy, teaching Python / Astropy, recruiting Astropy developers, Raspberry Pi	Build Raspberry Pi temperature and weather sensing station and web site, get ideas for web interfaces that would benefit Chandra operations
Harshil Kamdar