Daniel Kasenberg is a Senior Research Scientist at Google DeepMind with 13 years of experience at the intersection of AI, human-robot interaction, and applied software engineering. He holds MS/PhD training in Computer Science and Cognitive Science from Tufts and has focused on morally competent agents and technologies that benefit humanity. His background spans research roles and hands-on engineering—from building web apps and genome browser UI work (notably contributions to the JBrowse project) to machine learning and HRI research, giving him fluency across full-stack implementation and scientific inquiry. Based in Montreal, he blends deep academic rigor with production-minded development, often turning complex research ideas into usable systems.
13 years of coding experience
12 years of employment as a software developer
MS/PhD Computer Science and Cognitive Science, MS/PhD Computer Science and Cognitive Science at Tufts University
Bachelor of Mathematics Applied Mathematics Computer Science, Bachelor of Mathematics Applied Mathematics Computer Science at University of Waterloo
Full-featured and stable genome browser built with JavaScript and HTML5.
Role in this project:
Full-stack Developer
Contributions:167 commits in 3 months
Contributions summary:Daniel's contributions primarily involved modifying the front-end code within the JBrowse 1 repository. They redesigned the faceted track selector by replacing the `AccordionContainer` with `TitlePanes`. The user also made multiple improvements to the CSS styling and code for the new track selector. Additionally, they contributed to the ongoing development of combination tracks and related UI components, and fixed a rendering bug related to the 2bit sequence tracks.
Contributions:86 commits, 20 pushes, 6 branches in 1 year
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Daniel Kasenberg - Senior Research Scientist at Google DeepMind