Hi there, I’m a fourth year Ph.D. candidate in Computer Science at the University of Illinois Urbana-Champaign (UIUC). I also completed my undergraduate studies at UIUC where I majored in Statistics & Computer Science. I’m interested in building tools which blend between analytic signal processing methods and data-driven machine learning approaches to make faster, better, and easier to design models. In this line of work, I’ve developed approaches for problems like acoustic echo cancellation, equalization, beamforming, source separation, and compression.
I am advised by Paris Smaragdis and have had the chance to work with some great collaborators including Nick Bryan, Umut Isik, and Ivan Dokmanic. Feel free to check out what we’ve done on my publications page or my Google Scholar page.
|Nov, 2022||I’ll be giving a talk at the Stanford CCRMA DSP Seminar on 11/18/2022! Details here.|
|Nov, 2022||Our paper: “Meta-AF: Meta-Learning for Adaptive Filters” has been accepted to ACM/IEEE Transactions on Audio, Speech, & Language Processing ! Check it out here.|
|Sep, 2022||Our IWAENC paper: “Meta-Learning for Adaptive Filters with Higher-Order Frequency Dependencies” is up! Check it out here.|
|Apr, 2022||Our pre-print: “Meta-AF: Meta-Learning for Adaptive Filters” is up! Check it out here.|
|Apr, 2022||For the 2022 summer I’ll be working at Facebook Reality Labs with Jacob Donley!|
Meta-Learning for Adaptive Filters with Higher-Order Frequency DependenciesIn IEEE International Workshop on Acoustic Signal Enhancement (IWAENC) 2022
Meta-AF: Meta-Learning for Adaptive FiltersarXiv preprint arXiv:2204.11942 2022
NICE-Beam: Neural Integrated Covariance Estimators for Time-Varying BeamformersarXiv preprint arXiv:2112.04613 2022
Auto-DSP: Learning to Optimize Acoustic Echo CancellersIn IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA) 2021
Enhancing into the codec: Noise Robust Speech Coding with Vector-Quantized AutoencodersIn IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2021
Deep Tensor Factorization for Spatially-Aware Scene DecompositionIn IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA) 2019