Sumantrak Mukherjee
Junior Researcher at DFKI, Data Science and its Applications
Research
I work on multi-armed bandits, uncertainty quantification, and sample-efficient decision-making under limited feedback.
I am currently a Junior Researcher at DFKI in the Data Science and its Applications group, where I work under Prof. Sebastian Vollmer. I graduated from BITS Pilani in 2023 with a degree in Electronics and Instrumentation Engineering. Outside research, I like watching and discussing movies, travelling, and cooking new dishes when I am not too tired. I also keep a quiet acknowledgments page for people who have been especially kind to me.
For a more detailed account of my research, see the research page. I will add a longer research statement there over time.
Current focus
Multi-Armed Bandits and Uncertainty Quantification
Sequential decision-making with better priors, transfer, and calibrated uncertainty.
Interface
Causal Structure for Efficient Learning
Causal discovery and causal structure leveraged for sample efficiency and transfer.
Earlier work
Spatio-Temporal Event Modeling
Earlier work on interpretable point processes, benchmarks, and counterfactual event data.
selected publications
- CausScienCLAM: Causal Spatial Disaggregation to Infer Local Effects From Coarse DataIn NeurIPS CausScien Workshop, 2025Workshop paper, 2025
- DiffSysSQUID: A Bayesian Approach for Physics-Informed Event ModelingIn EurIPS DiffSys Workshop, 2025Workshop paper, 2025
- Preprint
news
| Mar 15, 2026 | This website is now live in its first personalized version. |
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| Dec 14, 2025 | Released the preprint Co-Exploration and Co-Exploitation via Shared Structure in Multi-Task Bandits. |
| Dec 06, 2025 | Presented CLAM: Causal Spatial Disaggregation to Infer Local Effects From Coarse Data at the NeurIPS 2025 CauScien workshop. |