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Julie Livingstone

Julie Livingstone

Sr. Bioinformatician

UCLA Health

Technologies

My Portfolio Highlights

My New Track

Python Programmer

My New Course

Introduction to Python

My New Track

Python Programmer

Data ninja, stealthily extracting insights from complex datasets.

My Work

Take a look at my latest work.

course

Introduction to ChatGPT

course

Introduction to R

course

Introduction to Python

course

Introduction to ChatGPT

DataCamp Course Completion

Take a look at all the courses I’ve completed on DataCamp.

Courses

Introduction to Python
Introduction to R
Introduction to ChatGPT
Intermediate Python

My Work Experience

Where I've interned and worked during my career.

Boehringer Ingelheim | Sep 2022 - Present

Computational Biology Data Analyst

N/A

UCLA Health | Nov 2019 - Aug 2022

Sr. Bioinformatician

• Developed an RNA sequencing alignment pipeline using Nextflow DSL2 and Docker containers • Drove collaborative cancer 'omics projects using statistical and bioinformatics methods • Independently performed an in-depth analysis of telomere length in prostate cancer discovering associations with clinical and genomic features (accepted at Nature Communications)
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Ontario Institute for Cancer Research | Jan 2014 - Nov 2019

Bioinformation

• Performed analysis of Affymetrix OncoScan copy number arrays to discover recurrent aberrations in cancer; used unsupervised machine learning to identify CNA-driven subtypes in prostate cancer and performed univariate analysis to identify events associated with biochemical relapse • Developed and maintained WGS analysis pipelines to detect structural variants (Delly, Manta), estimate telomere length (TelSeq, TelomereHunter) and performed RNA sequencing analysis (FastQC, STAR, HISAT2, RSEM, fusioncatcher) • Gained experience from goal-driven projects with industry partners including Intel [gained experience running docker instances using WDL/JSON workflows to align and call mutations in WGS data] and General Electric [machine learning to discover prognostic features in prostate cancer] • Integrated genomic, epigenomic, transcriptomic and proteomic data in prostate cancer to quantify the relationship between the data types

McGill University | Jan 2009 - Jan 2013

Bioinformatician

• Responsible for independent bioinformatics support of other research labs within the Goodman Cancer Research Center. • Gained experience with RNA and exome sequencing analysis using tools including FastQC, BWA, SAMtools, Picard Tools, and differential expression packages edgeR and DESeq • Performed statistical and bioinformatics analysis related to gene expression on high-throughput microarray datasets in breast cancer • daily tasks included class distinction (e.g. limma), class prediction (e.g. via Naive Bayes' classifiers), class discovery (e.g. clustering), and survival analysis

My Education

Take a look at my formal education

Master of Science (MSc), BioinformaticsMcGill University - Macdonald Campus | 2009
Ontario College Graduate Certificate, BioinformaticsSeneca College of Applied Arts and Technology | 2007
Bachelor of Science (BSc), Biology/PsychologyQueen's University | 2006

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