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Jason Pearson, PhD

Jason Pearson, PhD


Associate Professor, Department of Chemistry

Expertise

  • Electronic Structure Theory
  • Computational Chemistry
  • Cheminformatics

Research Areas

  • Electron-pair models in chemistry
  • Quantum biochemistry (understanding inter-and intra- molecular interactions)
  • Data stewardship and analytics in the chemical sciences

Capabilities for Industry Collaborations

  • Computational elucidation of structure and mechanism for compounds and chemical processes
  • High-throughput in silico screening of lead compounds
  • Structure-activity relationships

While most people might imagine a chemistry lab to be filled with beakers, burners and microscopes, Jason Pearson's lab looks more like a call centre. His research relies on computers to answer big questions about chemistry.

Computational modeling can provide a more cost-effective, safe and accurate way to analyze chemical compounds, especially valuable in the pharmaceutical industry. Pearson and his team use computers to simulate chemical properties without the need for a lab equipped with state of the art equipment, safety concerns or specially certified personnel. They can also process large amounts of data with a level of accuracy no human could match.

The field of chemistry generates a staggering amount of data on a daily basis, and most chemists aren't experts when it comes to data management. Until now there hasn't been an efficient clearinghouse where chemical information can be widely shared and easily searched. To meet that need Pearson and his colleagues at Memorial University have developed the Retrievium Database Platform. Retrievium stores, indexes, and describes chemical structures digitally, providing a user-friendly platform where scientists can share and interact with chemical information.

Pearson hopes Retrievium will become the premier global resource, contributing to the development of commercial compounds like pharmaceuticals, and for academic and industry R&D. 

Jason Pearson Profile