Anupam Kaur

Bioinformatician with proven expertise in genomic data analysis, high-throughput sequencing technologies, and bioinformatics workflows. Proficient in Python, R, and Bioconductor for complex data processing, visualization, and statistical modeling. Demonstrates expertise in RNA-Seq analysis, pathway enrichment, and genomic annotation. Passionate about leveraging computational biology and life sciences to drive innovations in healthcare and genomics research, addressing critical challenges through advanced analytical techniques.

• Genomic Data Analysis
• Computational Biology
• Machine Learning Applications in Bioinformatics
• Public Health Research

INTRODUCTION TO BIOCONDUCTOR

Harvard University | June 2023

Explored genomic annotation, normalization, and statistical methodologies for high-throughput data. Mastered Bioconductor classes and visualization techniques for genomic intervals.

• Statistical Inference for High-Throughput Experiments (2023 August)

Learned statistical modeling, false discovery rate control, and advanced parametric distributions. Applied these concepts to genomic datasets.

• High-Dimensional Data Analysis (2024 September)

Applied singular value decomposition and PCA for dimension reduction. Tackled batch effects using clustering algorithms. Introduced to supervised learning models for prediction.

• Departmental Council Representative at University of Alberta (2023-2024): Influenced key policies for curricular development.
• Vice President of Communications, Biology Students' Association (2023-2024): Boosted departmental visibility through a strategic social media presence.