Ghanshyam Chandra

Research Scientist

Research areas

  • Algorithms

  • Architecture

  • Artificial intelligence (AI)

  • HPC systems

  • Parallel computing

Ghanshyam Chandra is an AI research scientist in the Parallel Computing Lab (PCL), Intel Labs India, Bangalore. His research focuses on designing parallel and scalable algorithms to solve data-intensive problems in biology. These solutions are both theoretically sound and practically efficient, enabling life scientists to analyze high-throughput biological data at scale.
    
He has received several accolades, including the Intel India PhD Research Fellowship (2023–24) and first place in the National HPC Hackathon 2021. He has also been awarded the KOTAK IISc AI-ML Center Fellowship for advancing AI tools in computational biology. Ghanshyam has developed tools such as Minichain, PanAligner, mm2-plus, and PHI. These tools address genome graph alignment, inference, and parallel whole-genome and long-read alignment using scalable computational algorithms.
    
 Website: https://gsc74.github.io