Los Angeles Research Associate

CV Nicholas M. Nunley ************@****.*** GitHub Linkedin Los Angeles, CA

Experience

Staff Research Associate

University of California Los Angeles (2022 - present) Conducting research in two labs investigating metabolic and transcriptional reprogramming across prostate cancer disease states:

Goldstein lab

Boutros lab

Leading two distinct projects in parallel

Hands-on experience in culturing and performing experiments with ~8 different prostate cancer model systems: Lentiviral transductions

Immunoblotting

Metabolic tracing assays

Viability assays

Developing and applying computational pipelines for transcriptional analysis Developing an R datasets package containing processed transcriptional data from over 200 samples across seven different studies at release:

Performed data curation and quality assessment where I detected and corrected sample swaps in external datasets Developed an object-oriented dataset class using the S4 system to enable easy access to metadata, sample information, and analysis methods

Added gene set enrichment analysis and meta-analysis features Implemented a gene identifier mapping system to enable cross-species analysis without relying on external databases Resolved graphics-rendering failures caused by memory limits and label collisions in enrichment and volcano plots using custom downsampling and carteisan coordinate offsetting algorithms Extended the default lattice axes labeling system to support logarithmic axes Implemented a custom colour-mapping engine based on deriving and using an affine RGB transformation matrix, enabling continuous two-colour gradients and three-colour (diverging) schemes Lead K-12 Mathematics Instructor

Mathnasium, LLC (2019 - 2021)

Provided one-on-one and group tutoring in foundational mathematics (e.g. algebra, geometry, trigonometry, calculus) and other general science courses

Managed learning center operations on weekends:

Administered assessments to new students

Managed student learning plans

Followed up with leads

Scheduled and matched instructors with students

•

•

•

•

•

•

•

Education

BS: Biochemistry

University of California Los Angeles (2020-2022)

Conducted biomedical research while completing undergraduate coursework Completed a graduate-level course in mass spectrometry proteomics, and upper-division electives in mathematics and machine learning

AA (honors): Social and Behavioral Science

Santa Monica College (2015-2020)

Explored multiple academic tracks before transitioning to STEM Worked part-time in service roles and as a peer tutor for foundational science and math courses Skills

Python programming

R programming

NumPy

pandas

Unix

Machine learning

Data science

Statistics

Transcriptomics

Metabolomics

Nextflow

git

Docker

CI/CD

High-performance computing

Pipeline development and applications

Applied mathematics

Network analysis

Simulation-based inference

Biomedical experimental design

Mammalian cell culture

Immunoblotting

Microscopy and IHC

Cellular respirometry

Scientific communication

Mentorship

•

•

•

•

Contact this candidate