Ashootosh Tripathi
Papers
2
Total Citations
80
H-Index
2
About
Ashootosh Tripathi is a researcher working at the cutting edge of computational chemistry and high-throughput experimentation (HTE), with a focus on accelerating the pace of chemical reaction discovery. His most recognized contribution is the development of software solutions designed to bridge a critical gap in modern experimental chemistry: while laboratory hardware for running high-throughput experiments has advanced considerably, the analytical and planning tools needed to interpret data-rich experimental arrays have lagged behind. Tripathi's work directly addresses this challenge, offering researchers smarter, faster ways to design and evaluate large-scale reaction screens. His 2023 paper on rapid planning and analysis of HTE arrays has garnered 71 citations, reflecting the immediate relevance and practical utility of his tools within the synthetic and medicinal chemistry communities. A related earlier version of the work has also attracted additional scholarly attention. By enabling researchers to more efficiently navigate complex experimental datasets, Tripathi's contributions are helping to reshape how chemists approach reaction optimization and discovery workflows. His work represents an important step toward integrating data science principles into everyday laboratory practice, making him a notable figure in the emerging field of digitally assisted chemical research.
Research Focus
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Top Papers
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