Skip to Main Content

Mercedeh Javanbakht Movassagh

Associate Research Scientist

Extensive Research Description

Detailed expertise and methods development:

Development of computational and statistical methods for infectious disease genomics and sequencing data analysis (mirTarRnaSeq, mbQTL, VDJdive, RNA2DNAlign and PathSeeker).

Machine learning (Random Forest, SVMs, Topic Models, Clustering, Elastic Nets, Regressions, etc).

Next generation sequencing (NGS) analysis (RNA, microRNA (miRNA), whole genome sequencing (WGS), microbiome sequencing (16s rRNA) and T cell receptor (TCR) single cell sequencing.

Population genetics and ancestry analysis for WGS.

Genome wide association studies (GWAS).

Scalable processing of sparse sequencing data such as microbiome data.

Detailed Research interests:

Infectious disease (microbial, viral, parasitic and fungal), neonatal sepsis, hydrocephalus, RNAs and ncRNAs, computational biology, metagenomics, bioinformatics and biostatistics, machine learning, tropical medicine, global public health, and pathogenic cancers such as Burkitt Lymphoma, and interplay of host and human microbiome.


Research Interests

Bacteria; Haiti; Host-Parasite Interactions; Malaria; Parasites; Public Health; Tanzania; Trypanosoma; Uganda; Vietnam; Viruses; Global Health; Democratic Republic of the Congo; Malaria, Falciparum; Malaria, Cerebral; Blood-Borne Pathogens; Computational Biology; Metagenomics; Biostatistics; Machine Learning; Host Microbial Interactions

Public Health Interests

Infectious Diseases; Statistical Computing

Selected Publications