Vishwesh Venkatraman is an Associate Principal Scientist at Lonza. After graduating as an electronics engineer, he worked as a software engineer before re-entering academia to pursue a Master's in Bioinformatics from the University of Exeter, UK. Subsequently, he received a Ph.D. in Computational chemistry from the University of Portsmouth, UK. His postdoctoral research at both Purdue University, USA and INRIA-Nancy, France focused on protein–protein docking. After joining the Norwegian University of Science and Technology (NTNU) in 2012, he worked in the field of materials informatics. His primary interests are in the design and development of tools for the computer-aided design of materials applied to solar cells, batteries, organic electronics and drug design. As part of these efforts, he uses a combination of quantum chemistry and data science to explore the vast chemical space. He is also currently involved in the computer-aided design of therapeutics for COVID treatment.
Research Keywords & Expertise
Cheminformatics
machine learning
Structural Bioinformat...
dye sensitized solar c...
Materials Informatics
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machine learning
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dye sensitized solar cells
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Structural Bioinformatics
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Materials Informatics
Short Biography
Vishwesh Venkatraman is an Associate Principal Scientist at Lonza. After graduating as an electronics engineer, he worked as a software engineer before re-entering academia to pursue a Master's in Bioinformatics from the University of Exeter, UK. Subsequently, he received a Ph.D. in Computational chemistry from the University of Portsmouth, UK. His postdoctoral research at both Purdue University, USA and INRIA-Nancy, France focused on protein–protein docking. After joining the Norwegian University of Science and Technology (NTNU) in 2012, he worked in the field of materials informatics. His primary interests are in the design and development of tools for the computer-aided design of materials applied to solar cells, batteries, organic electronics and drug design. As part of these efforts, he uses a combination of quantum chemistry and data science to explore the vast chemical space. He is also currently involved in the computer-aided design of therapeutics for COVID treatment.