I am a Ph.D. Student in Computer Science at Stanford University. I work on Human-Computer Interaction and am rotating with Prof. James Landay.
My current research interests lie in computational tools for mental health support, computational journalism and information visualization.
I completed my undergraduate degree in Engineering Science, with a minor in Robotics, also at U of T. I have experience as a software engineer in industry, having worked for a year at the Intel Programmable Solutions Group.
My curriculum vitae, with a complete list of professional experience, teaching experience, and awards.
1. Jacob Ritchie, Daniel Wigdor, Fanny Chevalier. 2019. A Lie Reveals the Truth: Quasimodes for Task-Aligned Data Presentation. In CHI Conference on Human Factors in Computing Systems Proceedings (CHI 2019), May 4–9, 2019, Glasgow, Scotland UK. ACM, New York, NY, USA, 13 pages. Link to author copy.
1. Amira Chalbi*, Jacob Ritchie*, Deokgun Park, Jungu Choi, Nicolas Roussel, Niklas Elmqvist, Fanny Chevalier. Common Fate for Animated Transitions in Visualization. In IEEE Transactions on Visualization and Computer Graphics, Volume 26, Issue 1 (Proceedings of InfoVis 2019). Link to open access paper and materials. (*Contributed Equally.)
2. Jacob Ritchie, Spiro Pantazatos, Leon French. 2018. Transcriptomic characterization of MRI contrast with focus on the T1-w/T2-w ratio in the cerebral cortex, NeuroImage, Volume 174. Link to open access paper.
Posters and presentations
1. Monica Granados, Jacob Ritchie, Constance O'Connor. 2018. Guide to Eating Ontario Fishes Mobile Application, Up North on Climate Conference. Link to poster.
2. Jacob Ritchie, Spiro Pantazatos, Leon French. 2017. Magnetic Resonance Imaging from the Transcriptomic Perspective. 7th International Workshop on Pattern Recognition in Neuroimaging (PRNI 2017) (Also presented at OHBM 2017) Link to poster.
3. Jacob Ritchie, Alex Mihailidis. 2013. Age-CAP: An Age-friendly Communities Assessment App University of Toronto Undergraduate Engineering Research Day. Link to web application.