Research Intern
CurrentResearching machine learning uncertainty estimation for QSAR models in drug discovery, focusing on improving the reliability of compound screeningDeveloping selection procedure using conformal prediction to construct $p$-values for candidate molecules, enhancing the selection process by balancing risks and benefitsUtilizing false discovery rate control to ensure rigorous statistical validity and improve accuracy, independent of dataset size, while enhancing computational efficiency.Presenting research findings, refining machine learning algorithms for integration into the drug discovery pipeline, with results submitted for peer-reviewed journals