Shruti Rao is an HCI researcher and PhD candidate at the University of Amsterdam with 11 years of experience applying machine learning, signal processing, and qualitative methods to design intelligent, wellbeing-centered workspaces. She builds end-to-end AI-driven prototypes—most notably a real-time biophilic sound augmentation engine—while running large-scale user studies and co-design workshops with leading architecture firms to translate research into practice. Her background spans multimodal deep learning for affective computing (industry projects at CWI), large-scale data automation at Microsoft, and novel point-cloud neural work for scientific instrumentation, demonstrating a knack for moving between applied research and production constraints. A Best Paper winner at CHI and mentor to multiple master’s students, she blends rigorous empirical methods with generative models (e.g., VAEs) to craft multisensory interactions. Colleagues describe her as a bridge between data, design, and lived experience—someone who treats office acoustics as a design material rather than a nuisance.
10 years of coding experience
1 year of employment as a software developer
Masters in Computer Science, Big Data Engineering, Masters in Computer Science, Big Data Engineering at Vrije Universiteit Amsterdam (VU Amsterdam)
Sophia College For Women
Master of Computer Science, Big Data Engineering, Master of Computer Science, Big Data Engineering at University of Amsterdam
High School, High School at Hiranandani Foundation School
Mathematical Economics, Mathematical Economics, Mathematical Economics, Mathematical Economics at University of Waterloo
MSc CS Thesis Project to detect neutrino particles using Point Cloud Neural Networks in collaboration with University of Amsterdam, Netherlands eScience Center and Nikhef
Contributions:6 PRs, 55 pushes, 8 branches in 4 months
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