Viki Kumar Prasad
Assistant Professor

• Brief Biography
• Presentations
• Publications

Research Interests
Our research focuses on developing new computational chemistry methodologies for molecular property predictions. We adopt quantum computing principles to create quantum machine learning models and design algorithms for efficient quantum resource use. Additionally, we are interested in training classical machine learning models with improved generalization and accuracy. We also develop techniques that enhance conventional quantum chemistry methods leading to physics-aware methodologies. Our primary objective is to develop effective computational tools that enable molecular modeling, structure-function analysis, and high-throughput screening. We are interested in creating a data-driven and digital chemistry approach to impact applications areas such as reaction design, catalyst discovery, and drug development.

Contact Details
Office: SB 327
Email:

Department of Chemistry
University of Calgary
2500 University Drive NW
Calgary, Alberta
Canada T2N 1N4