Nick Giangreco

Independent and collaborative precision medicine scientist

Github | Linkedin | ORCID | nickg.bio | nick.giangreco@gmail.com | Date of preparation: August 6th 2022

Topic areas: Pediatric drug safety, interpretable machine learning, fairness and equity in biomedical informatics, biomarker evaluation and discovery, prediction and risk estimation, biomedical data science
Technical expertise: Interpretable machine learning, differential expression analysis, predictive analyses, simulation, data cleaning and modeling, dashboard development and AWS deployment, data-driven hypothesis generation and hypothesis testing, statistical software development
Programming Languages: Python, R, SQL, bash
Pending patents: CU18316 Prediction of post-heart transplant primary graft dysfunction using exosome proteins
Team projects/Hackathons: 2 R packages, 2 python packages, 2 R Shiny Apps, 1 Dash/Plotly app, 7 analysis workflows in python, R, bash
Leadership roles: 501(c)(3) nonprofit secretary, Mentor for digital health start-up incubator; As PhD student: 3 club president, 2 treasurer

WORK EXPERIENCE

2021 - Present

Associate Scientist, Quantitative Translational Scientist (Regeneron Pharmaceuticals Inc.); Tarrytown, NY

Precision Medicine

2016 - 2021

Systems biologist (Columbia University); New York, NY

Thesis: Mind the developmental gap: Identifying adverse drug effects across childhood to evaluate biological mechanisms from growth and development

PDSportal

PDSdatabase

February 2021 - August 2021

Bioinformatics intern (DNAnexus); San Francisco, CA

Customer success development team

Initiated internal and external projects such as interpretable machine learning and genomic/phenomic data integration/analysis

June 2019 - August 2019

Clinical informatics intern (Regeneron Genetics Center)); Tarrytown, NY

Developed database of multivariate clinical associations using incremental learning on amazon web services.

July 2018 - September 2018

Computational biology intern (Genetic Leap); New York, NY

Formerly Genetic Intelligence Inc.

Conducted independent and collaborative genomics research using NCBI APIs and amazon web services.

2014-2019

Cancer bioinformatician (National Human Genome Research Institute); Bethesda, MD

Post-baccalaureate trainee 2014-2016; Special volunteer 2016-2019

Investigated ovarian endometrioid tumorigenesis by integrating and analyzing RNASeq and DNA methylation sequencing (MBD-Seq).

EDUCATION

2016 - 2021

PhD, Systems Biology; Columbia University, New York City, NY

PhD advisor: Dr. Nicholas Tatonetti

Masters of Arts (2018) and Masters of Philosophy (2019)

2010 - 2014
BS, Biochemistry; University of Rochester, Rochester, NY

PUBLICATIONS

Peer-reviewed publications on pubmed

Google scholar profile

FELLOWSHIPS AND AWARDS

POSTERS AND SOFTWARE

Leadership and Management Experience

MENTORING, TUTORING, and WRITING

CONFERENCES AND HACKATHONS

TALKS AND PANELS

PROFESSIONAL MEMBERSHIPS