The long tail of data science? Supporting research with coding and analytics
David Chan
Cybera
David helped lead the development of Cybera's data science team and has been studying data science since 2012. This team takes on diverse data science projects in collaboration with various publicly funded organizations as well as startup companies, with a goal to encourage the adoption of data science tools and techniques for all. David is a PhD graduate from the University of Calgary, where he used high performance computing to investigate protein dynamics and interactions in atomistic detail.
Fatma Deniz
Berkeley Institute for Data Science
Fatma Deniz is a Moore-Sloan Data Science Fellow in Berkeley Institute for Data Science, a Postdoctoral-Fellow in Dr. Jack Gallant’s laboratory(Helen Wills Neuroscience Institute) at the University of California, Berkeley and a visiting scientist at the Technical University Berlin. She is interested in how sensory information is encoded in the brain and uses machine-learning approaches to fit computational models to large-scale brain data. Her current work focuses on cross-modal language representation in the human brain. She did her PhD in Dr. John-Dylan Haynes’s laboratory at Bernstein Center for Computational Neuroscience and Technical University Berlin, where she studied functional connectivity changes during conscious perception in humans. She got a bachelor’s and master’s degrees in Computer Science from the Technical University Munich. During her master’s work, Dr. Deniz worked with Dr. Christof Koch at Caltech, where she studied visual saliency and automated text detection.As an advocate of reproducible research practices, she is the editor of the book titled “The Practice of Reproducible Research”. In addition, she works on improving Internet security applications using knowledge gained from cognitive neuroscience and Mooney images (mooneyauth.org). Her work is at the intersection between computer science, human cognition, and neuroscience. She is a passionate coder, baker and loves playing the cello.
John Simpson
University of Alberta
John is Humanities and Social Sciences Specialist with WestGrid and Compute Canada and based at the University of Alberta. He is also the chair of Compute Canada’s Science Leadership Council. In these roles he works to improve access to high performance and advanced research computing systems. He holds a PhD in Philosophy for work at the intersection of game theory, philosophy of science, and socio-political philosophy.
Carolyn Taylor
University of British Columbia
Carolyn Taylor is a statistical consultant for ASDa, the Applied Statistics and Data Science Group in the Department of Statistics at UBC. She works with both industry and academic researchers from a wide range of disciplines on problem formulation, study design, data management, method development, analysis and implementation. In addition to managing ASDa’s various services she continues to provide coordination,research and technology transfer support for investigators and students on the second of two 5-year NSERC industry collaborative research and development grants to assess the engineering properties of forest products.
Abstract
Code-based analyses of data are becoming more ubiquitous in every research sector. However, coding and programming-based analyses, using tools such as R and python, are traditionally not in the repertoire of most research... [ view full abstract ]
Authors
- David Chan (Cybera)
- Fatma Deniz (Berkeley Institute for Data Science)
- John Simpson (University of Alberta)
- Carolyn Taylor (University of British Columbia)
Topic Area
Data: Analytics and Business Intelligence
Session
D2-S2-03 » Tuesday Session 2 - 3 (11:30 - Tuesday, 19th June, DAC Upper Floor)
Presentation Files
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