Summary
- My research focused on decoding the neural substrates and mechanisms of auditory perception, time and music perception, speech and language networks, working memory, and unsupervised learning of sound sequences.
- I used a combination of behavioral, imaging, and electrophysiological methods to analyse brain data from humans, patients, and animal models in-vitro and in-vivo.
- I analysed data from human MRI, MEG as well as electrophysiological data recorded from populations of neurons in the auditory cortex using computational, statistical and machine learning techniques.
- I have published more than 40 papers with 3000+ citations (h-index: 27).
- My research is described in detail in the following pages: Speech, Time, Memory
Impact
I. Auditory Processing and Timing
Neural Timing Mechanisms
The brain uses distinct neural substrates for processing different types of auditory timing, with the basal ganglia playing a central role in beat-based timing. This groundbreaking work has received over 500 citations, establishing fundamental principles of how the brain processes temporal information.
Temporal Processing Model
I developed a unified model that accounts for both duration-based and beat-based timing mechanisms in the brain. This theoretical framework helps explain how humans perceive and process time intervals in different contexts.
II. Cognitive Neuroscience
Auditory Scene Analysis
I demonstrated how the brain segregates complex acoustic scenes based on temporal coherence, with important implications for understanding speech processing in noisy environments
Working Memory
I investigated the neural bases of working memory for time intervals and rhythmic sequences, showing how the brain maintains temporal information.
III. Clinical Applications
Neurological Disorders
My research has contributed to understanding:
Neural Timing Mechanisms
The brain uses distinct neural substrates for processing different types of auditory timing, with the basal ganglia playing a central role in beat-based timing. This groundbreaking work has received over 500 citations, establishing fundamental principles of how the brain processes temporal information.
Temporal Processing Model
I developed a unified model that accounts for both duration-based and beat-based timing mechanisms in the brain. This theoretical framework helps explain how humans perceive and process time intervals in different contexts.
II. Cognitive Neuroscience
Auditory Scene Analysis
I demonstrated how the brain segregates complex acoustic scenes based on temporal coherence, with important implications for understanding speech processing in noisy environments
Working Memory
I investigated the neural bases of working memory for time intervals and rhythmic sequences, showing how the brain maintains temporal information.
III. Clinical Applications
Neurological Disorders
My research has contributed to understanding:
- Neural bases of musical hallucinations
- Brain plasticity in aphasia patients
- Tinnitus-related neural oscillations
Experience
- Sir Henry Wellcome Fellow, University of Oxford
- I led an independent research program funded by the Wellcome Trust focused on unsupervised learning and neural representation of sound sequences using a combination of electrophysiological, imaging and computational methods.
- Postdoctoral Fellow, Ecole Normale Supereiure
- I investigated unsupervised learning and memory for random noise sequences in the auditory cortex using a combination of in-vivo electrophysiological, computational and anatomical techniques.
- Postdoctoral Fellow, University College London
- Auditory Scene Analysis (how does the brain separate meaningful sounds from noisy backgrounds)
- Rhythm and Time Perception (how does the brain compute time in rhythmic sound sequences)
- Mapping changes in the language network in Stroke patients' brains after therapeutic interventions
- Working memory (how does the brain encode and remember acoustic features like pitch and time)
- PhD Candidate, University College London
- PhD in Cognitive Neuroscience with Prof. Tim Griffiths, FMedSci at the Wellcome Trust Centre for Neuroimaging
- Received Full PhD Scholarship funded by UCL and the Wellcome Trust
- My research was recognised with numerous awards from the Royal Society, Wellcome Trust, Max Planck Institute
- Gave 40+ talks at international conferences on Neuroscience & AI
- My research was covered by: BBC, ABC, IndiaAI, World Economic Forum, Business Insider, Science Museum (London)
- MSc Candidate, University of Oxford
- Clarendon Scholar (Awarded to the top 1% of all graduates)
- Graduate member of Balliol College
- Member of the Oxford University Quiz Society (represented Oxford in BBC quizzes - Pointless & Battle of the Brains)
- Member of the Oxford University Table Tennis Club (represented Balliol College)
- Member of the Oxford Entrepreneurs Club (undertook a course in Building a Business at Said Business School)