I am the Senior Director of Machine Learning at Eko Health. Previously, I have worked at Graphcore and iRhythm Technologies. My work interests include statistical/machine learning, deep learning, digital health, autonomous systems, robotic and mobile sensor networks. During my academic life, I was an NSF IGERT Fellow at UC, Santa Barbara and made contributions to the theory of fluid mixing and ergodic control.

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Publications

My recent work on Foundational Models for Cardiovascular Disease Detection:

• Foundation models for cardiovascular disease detection via biosignals from digital stethoscopes

Previous work with Text-To-Speech and Speech Recognition Models:

1. A short blog post on generating speech from text with Graphcore IPUs

2. Code base for Deep Voice 3 implementation on Graphcore IPUs

3. Speech Recognition using Conformer model with Connectionist Temporal Classification (CTC) training

4. Speech Recognition with Transformer-Transducer and with RNN-T loss

Some links relevant to my academic work:

1. Code repository for coverage algorithms for multi-agent systems - Spectral Multiscale Coverage (smc).

2. Review article on multiscale metrics (mix-norms) to quantify fluid mixing -  a concept I developed for my thesis.