Almas Jabeen

About

A Bioinformatics researcher (PhD graduate) specialized in designing and implementing AI/ML assisted omics data analysis pipelines for bulk RNA-seq, single-cell transcriptomics, clinical data). Proficient in ML based predictive models for biomarker and target discovery, validation, and disease progression analysis across preclinical. Experienced in NGS pipelines as per the study requirement for human and animal models (cynomolgus macaques, mice, and rat livers) and analyzing transcriptomics datasets from infected samples from Coronavirus, Zika, and Mycobacterium tuberculosis, A data scientist experienced in processed data generation and their downstream analysis (Bulk, scRNASeq, currently into spatial Tx). Experienced in NGS pipelines utilizing mostly R on high-performance computing clusters (Confluence, Bioclusters, etc), linux based servers, bash scripting, containerization (apptainer); SLURM scheduler, and comfortable with Python. My PhD thesis, titled 'Statistical Analysis of RNA-seq Data for Disease Signature Identification and Drug Discovery,' focused on leveraging bioinformatics for therapeutic advancements.

Employment

• Indiana University School of Medicine Postdoctoral Fellow
  2025 - 2026
• Marshall University Postdoctoral Researcher
  2025 - 2025
• Novartis (India) Data Scientist (Contractual)
  2023 - 2024

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (7)

• Incorporating Sequence-Dependent DNA Shape and Dynamics into Transcriptome Data Analysis
  Methods in Molecular Biology 2024 DOI: 10.1007/978-1-0716-3886-6_18
  +Save
• Next-generation technologies implicated in public health management of COVID-19 pandemic
  International Journal of Electronic Healthcare 2023 DOI: 10.1504/ijeh.2023.130512
  +Save
• Global Gene Expression and Docking Profiling of COVID-19 Infection.
  Frontiers in genetics 2022 DOI: 10.3389/fgene.2022.870836
  +Save
• Machine Learning Based Outlook for the Analysis of SNP-SNP Interaction for Biomedical Big Data
  Lecture Notes in Electrical Engineering 2020 DOI: 10.1007/978-981-15-1420-3_2
  +Save
• Differential Expression Analysis of ZIKV Infected Human RNA Sequence Reveals Potential Genetic Biomarkers
  Bioinformatics and Biomedical Engineering 2019 DOI: 10.1007/978-3-030-17938-0_26
  +Save
• Differential Expression Analysis of ZIKV Infected Human RNA Sequence Reveals Potential Biomarkers
  bioRxiv 2018 DOI: 10.1101/498295
  +Save
• Machine Learning-Based State-of-the-Art Methods for the Classification of RNA-Seq Data
  Lecture Notes in Computational Vision and Biomechanics 2018 DOI: 10.1007/978-3-319-65981-7_6
  +Save