Rajendra Joshi

Rajendra Joshi's work uses computational and machine-learning methods to study biological molecules such as proteins, RNA, and drug-like compounds, with applications ranging from drug discovery and toxicity prediction to disease genetics and structural biology. Recent projects cover topics like tuberculosis metabolism, cancer-related protein mutations (KRAS), RNA-targeted therapeutics, and vaccine design, often combining molecular simulation with data-driven analysis. The publication record also includes some large clinical/public-health studies related to tuberculosis and community health, suggesting collaborative involvement in applied health research alongside core computational biology work.

Publication output has fluctuated over the last decade, rising sharply around 2020 and 2023 with over 20 papers those years, while other years show more modest activity, averaging about 11 publications per year over the last five years.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026