About me
I'm a deep learning scientist with expertise in self-supervised and low resource machine learning in speech, language and image processing.
My early research was on keyword search/keyword spotting applications on low resource languages. I'm currently working on self-supervised deep learning applications for MRI cancer reserch, which involves super-resolution and physics-informed autoencoders.
Overview of my work
-
Open Vocabulary Keyword Search
Acoustic unit discovery and contrastive learning for robust keyword detection.
-
Large Language Models
Medical Language Processing using LLMs
-
MRI Super-resolution
Self-supervised super-resolution with Implicit Neural Representations.
-
Physic-Informed Autonecoders
Non-invasive Tissue Profiling from MRI
