Research Statement

My current research seeks to uncover the key determinants of leukemogenesis in older adults diagnosed with Acute Myeloid Leukemia (AML). I focus on identifying the genetic foundations of disease development and resistance to uncover potential therapeutic interventions. Specifically, I investigate the roles of inflammation and metabolic dysregulation in AML progression and resistance.

I am also deeply intrigued by RNA binding proteins and their crucial role in RNA biology, particularly in the establishment and progression of cancers like AML. My research currently explores the impact of RNA splicing in AML patients and its potential implications for disease progression and treatment strategies.

Additionally, I leverage advanced bioinformatics and predictive modeling techniques to identify novel risk groups, with the aim of developing more personalized and effective treatments for AML patients.

Key competencies

Mentorship

Since 2022, I’ve mentored undergraduate students in computational biology, guiding them in research and bioinformatics, helping them develop essential skills in the field

Collaboration

I’ve worked with global researchers, using my bioinformatics expertise to drive impactful oncology collaborations, advancing cancer genomics and improving patient outcomes

Communication

I communicate complex bioinformatics concepts through publications and presentations, enabling effective collaboration and contributing to the advancement of research and bioinformatics solutions

Skills

Data science

Clustering, Predictive Modelling

Omics

Epigenomics (Bisulphite sequencing,ATAC-seq,ChIP-seq) Transcriptomics (Bulk and single-cell RNAsequencing, Long-read sequencing, CITE-seq, RNA splicing)

Scripting & Programming

C, Perl , R , Python

Workflow Management

Nextflow

Web development

HTML,CSS,RShiny