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Stephen Bailey
Also published under:Stephen J. Bailey
Affiliation
Lawrence Berkeley National Laboratory, Berkeley, CA, USA
Topic
Dark Energy,High-performance Computing,Accelerated Expansion,Adaptive Learning Rate,Additional Exposure,Batch Mode,Browsing,Cadence,Common Grid,Complex Datasets,Convergence Rate,Core Technology,Cosmological,Dark Energy Spectroscopic Instrument,Data Matrix,Data Processing,End Of The Night,Expansion Of The Universe,Exploratory Data,Gaussian Noise,Graduate Students,HTML File,Input Matrix,Input Template,Jupyter Notebook,Large Cloud,Large Datasets,Lawrence Berkeley National Laboratory,Local Computing,Log Files,Matrix Factorization,Milky Way,Minimal Shift,Modern Science,Multiple Factors,Multiple Rules,Multiplicative Update,Negative Elements,Noise Values,Noisy Data,Non-negative Least Squares,Non-negative Matrix Factorization,Non-negativity Constraints,Number Of Templates,Objective Function,Optical Fiber,Parallelization,Point Spread Function,Positive Matrix,Random Coefficients,
Biography
Stephen Bailey is currently a senior software developer with the Physics Division, Lawrence Berkeley National Lab, Berkeley, CA, USA. He leads the DESI Data Management team. He enjoys converting raw data into useful data for the benefit of large science collaborations, and has been doing so for over 25 years. He received the Ph.D. degree in physics from Harvard University, Cambridge, MA, USA. Contact him at [email protected].