Deepak Baby

Senior Data Scientist at KBC Bank & Verzekering
Deepak Baby

Dr. Deepak Baby is a Senior Data Scientist at KBC Bank Belgium, specializing in developing advanced data-driven solutions for banking and insurance applications. His expertise spans machine learning, speech processing, and neural network architectures. Previously, he served as an Applied Scientist at Amazon Alexa AGI, where he led research and development initiatives for speech recognition models that power Alexa services. During his tenure, he contributed to continuous learning technologies that enable Alexa models to adapt and improve over time, and participated in early-stage development of Nova Sonic LLM.

His academic background includes post-doctoral research positions at leading institutions. At Idiap Research Institute with Prof. Hervé Bourlard (May 2019 - June 2020), he advanced speech enhancement techniques using variational and adversarial auto-encoders. As a post-doctoral researcher at Ghent University with Prof. Sarah Verhulst (February 2017 - April 2019), he developed neural network-based machine learning strategies for hearing restoration, resulting in publications in Nature Machine Intelligence and Nature Communications, as well as a patent that secured $1M in ERC funding for a startup venture.

Dr. Baby holds a PhD in Electrical Engineering from KU Leuven (2016), where his dissertation focused on Non-negative Sparse Representations for Speech Enhancement and Recognition under the supervision of Prof. Hugo Van hamme. He earned his Master of Technology in Communication Engineering from IIT Bombay (2012) and his Bachelor of Technology in Electronics and Communication Engineering from College of Engineering Trivandrum (2009).

Career Journey
Senior Data Scientist November 2025 — Present
Data Scientist January 2025 — November 2025
Applied Scientist II October 2020 — November 2024
Post-doctoral Researcher May 2019 — June 2020
Post-doctoral Researcher February 2017 — April 2019
Visiting Researcher April 2015 — June 2015
Visiting Researcher June 2013 — August 2013
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Education
Ph.D in Electrical Engineering
Thesis: Non-negative Sparse Representations for Speech Enhancement and Recognition
2010-2012
Master of Technology (MTech)
Specialization: Communication and Signal Processing
Bachelor of Technology (BTech)
Specialization: Electronics and Communication Engineering
Research View All
Nature Machine Intelligence
February 2021

A convolutional neural-network model of human cochlear mechanics and filter tuning for real-time applications

D. Baby, A. Van Den Broucke, S. Verhulst
Read Paper
Nature Communications Biology
July 2021

A convolutional neural-network framework for modelling auditory sensory cells and synapses

F. Drakopoulos, D. Baby, S. Verhulst
Read Paper