[Audio Descriptions] I Am CSE: Poojita Garg @uwcse
[Audio Descriptions] I Am CSE: Poojita Garg  @uwcse
Uploaded July 2026 | Updated September 2026, 3 weeks ago
Poojita Garg is a PhD student in the Paul G. Allen School of Computer Science & Engineering. Her research is situated at the intersection of ubiquitous computing and health sensing systems. Poojita shares how she created an app that transforms off-the-shelf smartphones into fetal Doppler that functions without any external hardware, making crucial fetal health monitoring more widely available.

A version of this video without audio descriptions is available here: youtu.be/yUvXe-G2v-E
[Audio Descriptions] I Am CSE: Poojita GargCausality, Learning, and Communication in the Brain: Matt Golub (The Allen School)IFDS Workshop Short Talks–Iteratively Reweighted Kernel Machines Efficiently Learn Sparse FunctionsBeyond Test Accuracies for Studying Deep Neural Networks: Kyunghyun Cho (New York University)CSE 481 Networks and Mobile AI Capstone–Group 3: Message Summarization AppIFDS Workshop Short Talks–Depth Separation in LearningScalable and Efficient Systems for Large Language Models—Lianmin Zheng (Berkeley)Content Curation in Online Platforms: Manoel Ribeiro (EPFL)Allen School Colloquium: Shaping AI for the Public Good via the Berkeley Lab ModelWinter Robotics Colloquium:  Marynel Vázquez (Yale University)Taskar Center Events: Tools for Equitable Transportation Planning with the TDEI Infrastructure[Audio Descriptions] I Am CSE: Kyle Johnson
Paul G. Allen School |

[Audio Descriptions] I Am CSE: Poojita Garg

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