Chandrani Kumari
Institute of Mathematical Sciences, Anna University, Chennai, University of Delhi
Research areas: Energy · Renewable Energy, Sustainability and the Environment · Solar Thermal and Photovoltaic Systems · Solar Radiation and Photovoltaics · Plant-Microbe Interactions and Immunity
0000-0002-7107-7334
About
I am a computational biologist specializing in machine learning, single-cell transcriptomics, comparative genomics, and gene regulatory network inference. During my PhD, I developed and applied machine-learning and statistical methods to clinical and biomedical data, including fetal growth and birth-weight prediction, clustering of heterogeneous data, privacy-preserving synthetic data generation. My postdoctoral research focuses on analyzing single-cell transcriptomics, comparative genomics, and network-based machine learning to identify cell-type-specific and evolutionarily conserved regulatory programs across plant species. My broader research interests include single-cell and multi-omics data integration and their applications in biology, agriculture, and human health.
Employment
Employment history is unavailable.
Education
- 2017 - 2024
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Anna University, Chennai M.Tech2015 - 2017
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University of Delhi B.Tech2011 - 2015
Projects & Funding
Projects & funding information is unavailable.
Publications (7)
- Single-Cell Omics to Uncover Cell-Type-Specific Gene Regulatory Networks Driving Mucilage Production in Specialized Roots Save
- scMTNI: Leveraging cellular trajectory and context to infer dynamic GRNs from single-cell multi-omics data Save
- Accurate birth weight prediction from fetal biometry using the Gompertz model Save
- MMM and MMMSynth: Clustering of heterogeneous tabular data, and synthetic data generation Save
- Using meteosat cloud masks for solar irradiance nowcasting Save
- Identifying the best clear sky model for the delhi-ncr region Save
- Altered kinetics of circulating progenitor cells in cardiopulmonary bypass (CPB) associated vasoplegic patients: A pilot study Save