M.Sc. Statistics, Indian Agricultural Statistics Research Institute, New Delhi

Statistical and Computational Genomics.

Publications:

1. Conference Poster: Decoding stress specific transcriptional regulation by causality aware Graph-Transformer deep learning
   Umesh Bhati, Akanksha Sharma, Sagar Gupta, Anchit Kumar, Upendra Kumar Pradhan, Ravi Shankar*
   22nd Horizons in Molecular Biology Symposium, Max Planck Institute for Multidisciplinary Sciences, Gottingen, Germany, 2025  Find the conference poster here


2. Decoding stress specific transcriptional regulation by causality aware Graph-Transformer deep learning
   Umesh Bhati, Akanksha Sharma, Sagar Gupta, Anchit Kumar, Upendra Kumar Pradhan, Ravi Shankar*
   Current Plant Biology, 2025  Read the research article here


3. In-depth assembly of organ and development dissected Picrorhiza kurroa proteome map using mass spectrometry
   Manglesh Kumari^†, Upendra Kumar Pradhan, Robin Joshi, Ashwani Punia, Ravi Shankar, Rajiv Kumar*
   BMC Plant Biology, 2021  Read research article here 


4. RBPSpot: Learning on Appropriate Contextual Information for RBP Binding Sites Discovery
   Nitesh Kumar Sharma^†, Sagar Gupta, Prakash Kumar, Ashwani Kumar, Upendra Kumar Pradhan, Ravi Shankar*
   iScience, 2021  Read research article here 


5. miRbiom: Machine-Learning on Bayesian Causal Nets of RBP-miRNA interactions successfully predicts miRNA profiles
   Upendra Kumar Pradhan^†, Nitesh Kumar Sharma^†, Prakash Kumar, Ashwani Kumar, Sagar Gupta, Ravi Shankar*
   PLoS ONE, 2021  Read research article here