Software Engineer & Data Analyst
For interested parties, this page describes both my working skill set and the different domains in which I have previous experience. I evidence these claims with a detailed list of my projects and publications.
As a developer, writing code is the major component of my regular workflow. I have experience building software with system-level languages like C, Python, and Java. For analysis and system administration, I have employed scripting languages like awk & Python to process and clean raw data files for input into databases, or data analysis environments like Jupyter and RStudio.
Looking at the data is a critical step in almost any data analysis. As part of the InfoVis group at UBC, I have discussed visualization techniques and evaluations since 2005. In my own experience, I use Tableau, dplyr and ggplot2 for exploration of static tables, and GNU Octave/Matlab, RStudio, and IPython Notebooks for iterative exploration while developing algorithms.
Stats/ML are a suite of techniques that help build predictive models of data distributions as well as give guidance about how much confidence to put in those models. I have employed time-series analysis and clustering to analyze customer usage patterns, devised "unsupervised learning" techniques for data exploration, and used supervised learning for fitting model parameters.
Familiarity with computer graphics APIs like WebGL/OpenGL has yielded at least two benefits for me as a researcher/analyst. First, I have leveraged the graphics pipeline to build novel visualization techniques that scale to large datasets. Second, I have exploited the parallelism of graphics processors (GPUs) to speed up existing analysis techniques.
My team and I have designed and developed an analytics system for analyzing storage product performance, events, and alerts. The system is deployed in AWS, is designed to easily scale with demand, and uses a flexible elasticsearch back end.
My exposure to finance is on the trading side of things. I have researched:
I have been involved in several projects to help researchers navigate unordered collections of documents, including Overview, Glimmer, and MetaCombine.
My experience with scientific computing has focused on numerical linear algebra and nonlinear optimization, having taken graduate courses in both these topics.
I consulted with BC Cancer Agency to develop software for analyzing DNA copy number alterations. The project involved collaborating with a lead researcher to design a visual console for analyzing copy numbers and labels across chromosomes.
A compressed representation of a request stream for calculating cache-usage statistics in sub-linear space.
An iOS app for color transfer, harnessing fast GPU code for quickly swapping colors between photos.
A tool for exploring large, unlabelled document datasets, targeted at helping journalists analyze text dumps.
An algorithm for fast multidimensional scaling, achieving significant speed gains by leveraging GPU parallelism.
A graph visualization tool based on Jarke van Wijk's paper using the prefuse toolkit.
The MetaCombine Project at Emory University assessed using semantic clustering for exploring digital libraries.
A tool for analyzing and labelling biological tracking data, used by researchers at Georgia Tech's BORG Lab.
A report describing an algorithm for computing fast nonnegative matrix factorizations.
A PC game that was one of the Student Showcase winners at the 2004 Independent Games Festival.
An algorithm for stochastic optimization based on Information Filtering, complementing K1 based on Kalman Filter.
A tutorial on different matrix reordering algorithms that increase the efficiency of the matrix inverse.
Stephen Ingram, Tamara Munzner. Neurocomputing 150, 2015.
Matthew Brehmer, Michael Sedlmair, Stephen Ingram, Tamara Munzner. BELIV Workshop, 2014.
Jake Wires, Stephen Ingram, Zachary Drudi, Nicholas JA Harvey, Andrew Warfield. OSDI, 2014.
Matthew Brehmer, Stephen Ingram, Jonathan Stray, Tamara Munzner. InfoVis, 2014.
Stephen Ingram. PhD Dissertation.
Stephen Ingram, Tamara Munzner. Proceedings of SIGRAD, 2012.
Stephen Ingram, Tamara Munzner, Veronika Irvine, Melanie Tory, Steven Bergner, Torsten Möller. IEEE VAST, 2010.
Stephen Ingram, Tamara Munzner, Mark Olano. IEEE Transactions on Visualization and Computer Graphics, 15(2):249-261, Mar/Apr 2009.
Pravin Bhat, Stephen Ingram, Greg Turk. Eurographics SGP, 2004.
Stephen Ingram, Pravin Bhat. Smart Graphics, 2004.
