Research
My PhD at the National University of Singapore focuses on long-read transcriptomics. Before that I worked on single-cell transcriptomics and statistical genetics, along with a fair amount of applied survey statistics at ISI, which is on the Coursework page.
PhD
- 2026 – (2030)ongoing
PhD in Statistics and Data Science, National University of Singapore
Long-read transcriptomics with the Göke Lab at A*STAR GIS.
with Dr. Jonathan Göke (A*STAR GIS), Dr. Alexandre Thiéry (NUS)
Research projects
- Aug 2025 – present ongoing
scAICME: Adaptive marker-guided annotation of single-cell and spatial RNA-seq data
A two-stage semi-supervised framework for marker-guided annotation of single-cell RNA-seq data. Canonical marker panels give candidate labels with confidence scores, the high-confidence cells then train an ensemble of supervised classifiers that labels the rest by consensus, and the framework extends to spatial transcriptomics. It is implemented as a Python package built on Scanpy, and a manuscript on it is in preparation.
with Prof. Raghunath Chatterjee (ISI Kolkata), Dr. Jayant Jha (ISI Kolkata)
Part of this work formed my Master of Statistics thesis.
- Jun – Nov 2025 completed
Coordinate descent for adaptively-weighted quantile regression
with Dr. Sumanta Basu (Cornell University), Prof. Diganta Mukherjee (ISI Kolkata)
- Apr – Oct 2025 completed
Extending joint location-scale tests to multivariate phenotypes
with Dr. Arunabha Majumdar (Indian Institute of Technology Hyderabad)
Follows on from the proxy-tissues project below, which was discontinued.
- May 2023 – May 2024 discontinued
Sample size compensation for using proxy tissues in transcriptome-wide association studies
with Dr. Arunabha Majumdar (Indian Institute of Technology Hyderabad)
- Jun – Dec 2022 completed
Emotional responses to Hindustani classical music from cognitive data
An exploratory analysis of EEG recordings of listeners.
with Dr. Shankha Sanyal (Jadavpur University)
- Jun – Aug 2022 completed
Reading project on Bayesian statistics
Hierarchical modelling, the Gibbs sampler, and MCMC.
with Prof. Kiranmoy Das (ISI Kolkata)