Cédric Arisdakessian

Honolulu, Hawaii 96822 USA

Interests

Bioinformatics , Data science , Metagenomics , Artificial Intelligence

Languages and Frameworks: python, R, nextflow, rust, bash, C++, LaTeX, SQL

Operating systems: MacOS, Linux, Windows

Software development: git, github, unit testing, anaconda, jupyter

Data Science packages: pandas, numpy, scipy, scikit-learn, pytorch, tensorflow, keras, seaborn, bokeh, biopython

Frameworks: Nextflow, SLURM, Docker, Singularity, Singularity

University of Hawai'i at Manoa, Honolulu, HI

Ph.D., Computer Science

2018 - Present

Université Claude Bernard Lyon 1

MSc., Bioinformatics

2015 - 2016

École Centrale de Lyon

MSc., Engineering

2013 - 2016

Lycée Champollion

BSc., Engineering

2009 - 2012

Graduate Research Assistant, University of Hawaiʻi at Mānoa

Bioinformatic analyses of metagenomics sequencing data

Development of computational pipelines for the analysis of marker-gene data (published)
Statistical analysis of bacterial metagenomes
Development of data wrangling teaching modules in python
Teaching assistant for machine learning methods (ICS235) and discrete math (ICS241)
Clustering of viral population through identification of shared genetic modules.
Binning viral metagenomes using deep metric learning with PyTorch (published)
Imputation of single-cell RNA-seq data with TensorFlow (published)

2017 - Present

Research Engineer, Institute for Advanced Biosciences

Analysis of epigenetic data in lymphoblastic and mantle cell lymphoma cell lines