Anshul Thakur
Anshul Thakur is an AI researcher whose work spans audio machine learning and clinical AI. He coauthored three Interspeech papers in 2018, completed a PhD at IIT Mandi in 2020, and later studied privacy-preserving health data, clinical model transfer, and dataset condensation. As of October 2026, he is a Departmental Lecturer in Clinical Machine Learning at Oxford and is due to join ELLIS Institute Finland as a principal investigator with a co-affiliation at the University of Oulu. His current research focuses on clinical AI, healthcare data democratization, reliable foundation models, and clinical federated learning.
- Now at
- University of Oxford
Timeline
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2018
Three Interspeech audio papers
In 2018, he coauthors three Interspeech papers: an all-convolutional network for bird activity detection, deep convex representations for bioacoustics classification, and ASe, a deep-learning framework for acoustic-scene embedding.
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2020
A PhD at IIT Mandi
He completes a PhD at IIT Mandi's School of Computing and Electrical Engineering in 2020. His doctoral research uses dynamic kernels, tensor factorization, and deep learning to analyze audio patterns.
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2024
Encoding clinical data
In 2024, he coauthors a Nature Communications paper that explores irreversible data encoding to share healthcare data while reducing information leakage from trained models.
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2025
Transfer across clinical tasks
In 2025, he coauthors Adaptive Parameter Optimisation, a framework for optimizing shared models across clinical tasks and managing task-specific parameters to reduce interference.
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2026
Condensing clinical datasets
In 2026, he coauthors a paper on clinical dataset condensation for classical models, using a differentially private method that preserves model utility.
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September 2026
A PI role at ELLIS Finland
In September 2026, ELLIS Institute Finland lists him among its incoming principal investigators for the 2026–2027 academic year. He will be co-affiliated with the University of Oulu.
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As of October 2026
Clinical machine learning at Oxford
As of October 2026, he is a departmental lecturer in clinical machine learning at the University of Oxford. His research focuses on clinical AI through a theoretical and translational lens, spanning healthcare data democratization, reliable foundation models, and clinical federated learning.
Career
- NowUniversity of OxfordDepartmental Lecturer in Clinical Machine Learning
- ELLIS Institute FinlandIncoming Principal Investigator
- University of OuluPlanned university co-affiliation
Education
- 2020Indian Institute of Technology MandiPhD
Sources and credits
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- ISCA Archive - All-Conv Net for Bird Activity Detection: Significance of Learned Pooling
- ISCA Archive - Deep Convex Representations: Feature Representations for Bioacoustics Classification
- ISCA Archive - ASe: Acoustic Scene Embedding Using Deep Archetypal Analysis and GMM
- Anshul Thakur - People - Engineering Science Department
- Data encoding for healthcare data democratization and information leakage prevention | Nature Communications
- Information Transfer Across Clinical Tasks via Adaptive Parameter Optimisation
- Democratising Clinical AI through Dataset Condensation for Classical Clinical Models
- ELLIS Institute Finland recruits 7 new principal investigators | ELLIS Institute Finland