Elucidating the genetic code

is a postdoctoral fellow at the Ontario Institute for Cancer Research, working on computational deconvolution of tumour gene expression profiles. He has become involved in Software Carpentry through the UK's Software Sustainability Institute. His research interests are in scientific computing, specifically in computational inverse problems, numerical linear algebra, and the numerical solution of PDEs.Jaime Ashander is a population biologist who develops theory on the consequences of trait change for population dynamics, and methods to infer population processes from genomic and phenotypic time series. Camille Avestruz is a Ph D candidate and NSF Graduate Research Fellow in the Physics Department at Yale University.

is a Data Scientist at Fino Consulting in NYC, where he applies statistical and machine learning approaches to projects in the education and energy sectors.

He was always interested in science so he wound up becoming a full time researcher in particle physics, and has recently transitioned to the field of data science.

is a Ph D student at the University of Queensland working on vaccine target identification from the genomes of Streptococcal fish pathogens.

is a computational biophysicist who uses modeling and simulation to understand how proteins move small molecules across the cell membrane. in Biophysics at the University of California, Berkeley and is currently a Research Assistant Professor in the Department of Biological Sciences at the University of Pittsburgh.

He is one of the core developers of the open source, Weighted Ensemble Simulation Toolkit (WESTPA) and spends most of his days building computational tools and crunching data for the good of science using python. works at the intersection of applied mathematics, software engineering, and application domains as diverse as adaptive optics, semiconductor lithography, and ice-sheet modeling.

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