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Hey there! I’m Soundarya Ramesh, currently a postdoctoral researcher at the Augmented Human Lab, in the National University of Singapore (NUS). I work on machine learning for sensing systems that enhance human safety and well-being, focusing on audio and physiological time-series data. Recently, I’ve also been exploring multimodal approaches for audio-centered applications such as language-queried enhancement. Prior to my postdoc, I completed my Ph.D. in Computer Science at NUS, on the topic of audio security and privacy, under the supervision of Prof. Jun Han and Prof. Chan Mun Choon.

I’ve been fortunate to receive several awards along the way, including the Google PhD Fellowship, the MobiSys Rising Star Award, a Best Poster Runner-Up Award, as well as a teaching excellence recognition at NUS.

I’m currently actively looking for full-time industry positions (ML/AI Scientist, ML Engineer roles) in the Bay Area as well as Singapore. Please feel free to reach out!

Curriculum Vitae

Contact: sramesh@nus.edu.sg

Recent News

Dec 2025: Presenting two posters at NeurIPS 2025!
May 2025: Gave an invited talk at Asahi Quality and Innovations in Yokohama
Jan 2025: Defended my PhD Thesis!
Aug 2024: Gave a talk at Microsoft Research, Bengaluru
May 2024: Won the Best Presentation Award in the MobiSys Rising Stars Forum, Tokyo
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