Liam McBride

Education

Master of Science in Bioinformatics for Health Sciences

Universitat Pompeu Fabra - Expected 2026

Focus: Omics, Software Development, Machine Learning

Relevant Courses: Principles of Genome Bioinformatics, Biomedical Data Analysis, Algorithms, Mathematics, Python, Structural Bioinformatics, Data Mining, Database and Web Development

Bachelor of Arts in Biology

St. Olaf College - May 2024

GPA: 3.80

Concentrations: Mathematical Biology, Statistics, and Data Science

Relevant Courses: Intermediate Genetics, Bioinformatics, Elementary Linear Algebra, Math of Biology, Modern Computational Mathematics, Introduction to Data Science, Statistics for Science, Statistics 2, Probability Theory, Algorithms for Decision Making

Skills

Computational

Languages: Python, R
Platforms: Linux, Web, Windows, RStudio, RMarkdown
Packages: Pandas, NumPy, Matplotlib, Biopython, shiny, tidyverse, dplyr, knitr

Biological

Experience processing NGS data: long/short-read mapping, identifying Structural Variation, BLAST
Phylogenomic tree-building, analysis, evolutionary genetics
Cancer genomics, experience with Lymphoma and Ewing’s Sarcoma sequences

Research Experience

Bioinformatics Intern

Dana Farber Cancer Institute, Boston, MA - May 2023 - Present

Supervisor: Dr. Murakami

Developed a workflow combining laboratory and bioinformatic techniques to sequence cfDNA samples and perform clonality assessments with the goal of diagnosing Lymphoma.
Employed multiple bioinformatic software to assess clonality through different platforms, determining the most suitable for our goals.

Computational Biology Intern

University of Minnesota Medical School, Minneapolis, MN - June - August 2022

Supervisor: Dr. Spector

Executed a research project concerning the genetic elements of Ewing Sarcoma, a pediatric bone cancer.
Used Python programming and bioinformatic software (such as RepeatMasker and Minimap2) to process large quantities of long-read whole genome sequences.
Employed R programming to run statistical analyses and visualize results of bioinformatic software.

Lab Assistant

Smith College, Northampton, MA - March 2017 – May 2019, August 2020 – May 2021

Supervisor: Dr. Katz

Processed transcriptome and genome fasta files from multiple databases through a Python-based 'Phylogenetic Pipeline' for phylogenetic reconstruction.
Utilized bioinformatic tools and databases (BBmap, Freebayes, BLAST, SeaView, and Python) to study protist genomes and evolutionary relationships.
Assisted with Polymerase-Chain-Reaction (PCR) production to support undergraduate research projects.

R Tutor

St. Olaf College, Northfield, MN - January 2023 - Present

Supervisor: Dr. Walter

Assisted students in the biology and statistics department with RStudio and R programming to analyze data in laboratory projects.
Teaches RMarkdown, Base R, data manipulation, visualization, and essential R packages, as well as various R-related topics within biological settings.

Contact Information

Email: liam.mcbride01@estudiant.upf.edu

Phone: +1 413 588 8591

Location: Barcelona, Spain

Email Me