Hi there, I’m a third 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 worked on approaches for acoustic echo cancellation, equalization, dereverberation, and beamforming.
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.
|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!|
|Sep, 2021||Our papers “Auto-DSP: Learning to Optimize Acoustic Echo Cancellers”, “Separate but Together: Unsupervised Federated Learning for Speech Enhancement from Non-IID Data” and “Sound Event Detection with Adaptive Frequency Selection” have all been accepted at WASPAA 2021.|
|Sep, 2021||For the 2021 fall semester I’ll be working with Nicholas J. Bryan at Adobe Research!|
|Apr, 2021||For the 2021 summer I’ll be working at Facebook Reality Labs with Jacob Donley!|
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