About me

I have a demonstrated history of working in research and development, specializing in Next Generation Sequencing Data Analysis, bioinformatics pipeline development, machine learning, deep learning, and drug discovery for 9-plus years. As a Bioinformatician, I have had the opportunity to collaborate with diverse groups of people across multiple disciplines, ranging from academia, and industries to hospitals. Throughout my career, I have been actively involved in presenting various projects, and their outcomes, and exploring potential avenues for project collaboration. I have published nine papers in high-impact scientific journals, showcasing my expertise in data insights generation and interpretation for rare diseases and cancer.

Courses

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Next generation sequencing (NGS) data analysis and pipeline development

Bioinformatics Data AnalysisPipeline DevelopmentProgramming In Python Or R

Bioinformatics Data AnalysisPipeline DevelopmentProgramming In Python Or RStatistical AnalysisData VisualizationSnakemakeHypothesis Testing Using Statistics

Explore the intersection of biology and data science in our Bioinformatics course. Master the art of analyzing Next-generation sequencing data (RNA-seq) and developing pipelines to solve complex biological problems efficiently.  The rapid advancement of high-throughput technologies has revolutionized biomedical research, necessitating scalable and reproducible methods for both experiments and computational analysis due to the growing volume and complexity of data. Transforming this data into useful information requires numerous tools, parameter optimization, and integration of evolving reference data. To address these challenges, workflow managers were created. These tools streamline pipeline development, optimize resource usage, manage software installations and versions, and ensure workflows can run across various computing platforms, promoting portability and sharing.

In this course, you will learn how to develop. 

No prior knowledge is required. Learn through practice.

• Bioinformatics data files, structured and unstructured files
• Bioinformatics tools
• How to leverage workflow management tools to develop a reproducible, scalable, and scalable RNA-seq data analysis pipeline
• Programming languages: R and Python, and Shell
• Perform your custom analysis pipelines
  

Module 1: Introduction to shell

This module introduces students to the fundamental concepts of Unix shell scripting, tailored for those analyzing data in a scientific setting. Module 1 begins with an overview of shell scripts, file management, directories, and the processes of editing, viewing, and concatenating files. It also covers how to connect to servers using the terminal.

Module 2: Hands-on Python environment

This module will enable students to configure the environment for core software used in the pipeline management tool, with a primary focus on understanding the bioinformatics tools for the canonical RNA-seq data analysis pipeline and setting up environmental dependencies.

Module 3: Introduction to Bioinformatics tools for RNA-seq data analysis

Students will learn how to handle different types of RNA-seq data, including structured and unstructured data, and how to use Bioinformatics tools.

Module 4: Advanced bioinformatics pipeline development

The final module will delve deep into the development of the pipeline. Topics covered will include how to process the raw fastq files, trim them, quality check, map the reads, obtain raw read counts, and finally normalize the read counts. Besides that, students will learn to write Python and R scripts for data analysis and visualization. Finally, share the pipeline with an online code repository.

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Mentor Skills and Expertise

• Bioinformatics
• Python
• Machine Learning
• Data Science
• Generative Ai

Companies

Testimonials

Mentee testimonial

"I have been very pleased with Alva as a mentor. She did a great job at listening to my objectives within the field and was able to communicate suggestions and potential goals in an approachable way. I would recommend her to others who are looking at transitioning into bioinformatics and want some starters. ~Keisha"

Mentee testimonial

"I have been very pleased with Alva as a mentor. She did a great job at listening to my objectives within the field and was able to communicate suggestions and potential goals in an approachable way. I would recommend her to others who are looking at transitioning into bioinformatics and want some starters. ~Keisha"

Certificates

Statistical Inference

Johns Hopkins University