Ananthakrishnan Ganesan

The paper identifies a novel framework to quantify immune dysregulation in critical illness by analyzing transcriptomic data across multiple cohorts.

The paper identifies a conserved immune signature linked to infection severity, risk factors, and treatment response using multi-cohort transcriptomic and proteomic data.

The paper improves stabilizing mutation prediction by combining computational methods with experimental data, achieving higher precision and thermal stability increases.

The paper develops a framework to impute histone modification abundances and infer directional associations between them using neural processes, identifying novel interactions and changes post-vaccination.