I'm a computational biologist finishing my Ph.D. in Bioinformatics at Dalhousie University (defense June 2026), based in Montréal, QC. My work sits at the intersection of genomics, statistical modeling, and large-scale biological data analysis and I'm actively transitioning toward human health, cancer genomics, and clinical bioinformatics research.

My doctoral research involved building and analyzing one of the most comprehensive long-term microbial ecology datasets in a temperate ecosystem: 9.5 years of weekly sampling across multiple depths, integrating 16S rRNA amplicon sequencing with environmental covariates.

Core methods I use regularly:

• Amplicon sequencing pipelines: QIIME2, DADA2, VSEARCH, SILVA
• Co-occurrence network analysis: SparCC, igraph (136 networks built and validated)
• Statistical modeling: GLMs, mixed-effects models, FDR correction (BH), permutation testing, longitudinal multivariate analysis
• Ordination & diversity: PCoA, NMDS, PCA, alpha/beta diversity (phyloseq, vegan)
• Phylogenetics: Maximum likelihood and Bayesian tree building (IQ-TREE, RAxML, ape)
• Data visualization: ggplot2, matplotlib, seaborn — publication-quality figures
• Reproducible workflows: Git, Snakemake, SLURM, Compute Canada HPC, AWS

Languages: Python (pandas, NumPy, scikit-learn) · R (tidyverse, ggplot2, phyloseq, vegan) · Bash

• Haider D. et al. (2026). Comparison of spatio-temporal dynamics and composition in size-fractionated and unfractionated Northwestern Atlantic microbial communities. Environmental Microbiology Reports. doi:10.1111/1758-2229.70206
• Haider D. et al. (2023). Mock microbial community meta-analysis using different trimming of amplicon read lengths. Environmental Microbiology. doi:10.1111/1462-2920.16566
• Raes E.J., ..., Haider D. & LaRoche J. (2022). Seasonal bacterial niche structures and chemolithoautotrophic ecotypes in a North Atlantic fjord. Scientific Reports. doi:10.1038/s41598-022-19165-w

Bilingual 🇨🇦 EN / FR · Open to roles in person and remote