About Me
Data Scientist and Bioinformatician with expertise in multi-omics data analysis, machine learning, and workflow automation. Proven track record in implementing innovative bioinformatics solutions for drug discovery and target identification in immunology. Adept at leveraging cloud computing and advanced analytics to derive actionable insights from complex biological datasets. Experienced in leading cross-functional collaborations and optimizing computational pipelines for clinical and research applications.
Experience
Evozyne
• Lead design and implementation of scalable, automated bioinformatics pipelines for bulk RNA-seq and scRNA-seq data.
• Apply machine learning techniques to analyze gene editing experiments.
• Collaborate with cross-disciplinary teams to integrate generative models (VAE) with bioinformatics pipelines.
• Manage and plan computational resources for multi-omics and bioinformatics projects.
Ann & Robert H. Lurie Children's Hospital
• Designed and optimized bioinformatics pipelines.
• Created and deployed R Shiny dashboards for interactive data visualization.
• Provided mentorship and technical guidance to junior team members.
• Established R programming educational content for research community.
Northwesterm University
• Streamlined large-scale genomic data analysis workflows for genetic variation studies using Nextflow, R, and Bash, ensuring reproducible and efficient analyses.
• Applied statistical and machine learning models to interpret complex biological data.
• Conducted extensive analysis of large experimental data sets in R to investigate organismal growth and development.
Skills
- Programming
- Python - R - bash - git/GitHub
- Computing
- Nextflow - Docker - HPC systems
Education
Ph.D. Quantitative Biology
Northwestern University2022
M.A. Molecular Biology
Princeton University2018
B.S. Chemistry | B.S. Cell & Molecular Biology
John Carroll University University2017