Area of research
Computational Theory and Mathematics · Biophysics
Research interest
Research interests include Computational Drug Discovery Methods, Cell Image Analysis Techniques, Scientific Computing and Data Management, and Metabolomics and Mass Spectrometry Studies.
Computational drug repurposing: approaches, evaluation of in silico resources and case studies
Associations of PFAS and OH-PCBs with risk of multiple sclerosis onset and disability worsening
Development of new approach methods for the identification and characterization of endocrine metabolic disruptors—a PARC project
Estimating diagnostic uncertainty in artificial intelligence assisted pathology using conformal prediction
Conformal Regression for Quantitative Structure–Activity Relationship Modeling—Quantifying Prediction Uncertainty
Integration of magnetic resonance imaging and protein and metabolite CSF measurements to enable early diagnosis of secondary progressive multiple sclerosis
Evaluating parameters for ligand-based modeling with random forest on sparse data sets