Taneea Agrawaal is a doctoral researcher in Computer Science at the University of Toronto specializing in human-centered climate research that blends HCI, participatory design, and explainable AI to make climate data and models more place-based and environmentally just. With 11 years of experience spanning research, industry (Goldman Sachs), and open-source contributions, she combines rigorous academic inquiry with practical full-stack development—her GitHub work improving UI and account flows in the notable OpenFarm project illustrates this blend. Advised by climate and computing scholars, her dissertation reframes climate technologies around critical data practices and community participation rather than purely technical optimization. An active advocate for diversity in tech and longtime open-source contributor, she leverages organizational and editorial roles (ACM-W newsletter) to amplify inclusive practices in computing. Unusually for a climate-focused researcher, she brings prior finance industry experience and a hacker’s curiosity—preferring a laptop, a puzzle, and coffee—to bridge domain knowledge, systems thinking, and hands-on engineering.
11 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Toronto
Bachelor of Technology - BTech, Electronics and Communications Engineering, Bachelor of Technology - BTech, Electronics and Communications Engineering at Indraprastha Institute of Information Technology, Delhi
Graduate Senior Seconday Education from C.B.S.E(XIIth Pass), Graduate Senior Seconday Education from C.B.S.E(XIIth Pass) at Delhi Public School - R. K. Puram
A free and open database for farming and gardening knowledge. You can grow anything!
Role in this project:
Full-stack Developer
Contributions:94 commits, 18 PRs, 69 comments in 6 months
Contributions summary:Taneea primarily focused on improving the user interface and front-end elements of the application, specifically related to guide creation and display. They added and modified HTML and Ruby code to implement features such as guide creation links, tag styling, and image display using a lightbox directive, enhancing the user experience. Additionally, the user contributed to back-end code, improving user account confirmation flows and incorporating unit tests to ensure code reliability.
Contributions:97 pushes, 27 branches, 2 comments in 6 months
gardeningknowledgedatabasefarminggrow
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