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Hi there! πŸ™‹πŸΏβ€β™‚οΈ

✨ I'm Chris ✨


πŸ‘¨πŸΏβ€πŸ”¬ I am a multidisciplinary scientist working at the intersection of Biology 🧫 , Chemistry βš—οΈ, and Data Science πŸ‘¨πŸΏβ€πŸ’»

LinkedIn ΒΊ Twitter ΒΊ Medium ΒΊ GitHub ΒΊ Gmail ΒΊ Chris Etienne's Website


  • πŸ— I’m working on identifying novel Targets 🎯 and Biomarkers 🎲 in Hematological Malignancies 🩸 and Solid Tumors 🧱
  • πŸ”­ I’m currently learning more about AI πŸš€ with a focus on Deep Learning and Machine Learning πŸ€–
  • πŸ’­ Ask me about Immunology 🧬, OncologyπŸ”¬ and Chemical Biology πŸ§ͺ
  • 🀝 I’m looking to collaborate on interesting Bioinformatics or Cheminformatics research projects
  • πŸ€” I’m thinking about novel approaches to Drug Discovery πŸ’Š and Targeted Therapy ⚑
  • πŸ’― I am passionate about STEM Education πŸ“š and Social Justice πŸ’‘
  • πŸ“« You can connect with me directly at one of the platforms listed above ⬆️

Chris Etienne's GitHub Stats

Selected Programming Tools




Computational Research Interests
  • developing novel bioinformatics tools to investigate high-throughput genomics data to understand the mechanisms of diseases, with a particular interest in cancer
  • applying computational methods to study biological processes such as protein-protein interaction and protein-ligand binding to design the next generation of cell permeable and orally bioavailable macrocyclic drugs.
  • implementing machine learning algorithms to support classification and prediction of clinical outcomes using molecular features

Laboratory Research Interests
  • application of genome engineering techniques and high-throughput genetic screening methods to identify biological functions of unknown genes and novel drug targets in the context of ImmunoTherapy.
  • assay development and tool generation to dissect immune surveillance mechanisms and T cell signaling, and validate new immunotherapy drugs
  • ...

Chris Etienne's Projects

aframe icon aframe

:a: web framework for building virtual reality experiences.

awesome-arkit icon awesome-arkit

A curated list of awesome ARKit projects and resources. Feel free to contribute!

awesome-crispr icon awesome-crispr

List of software/websites/databases/other stuff for genome engineering

basset icon basset

Convolutional neural network analysis for predicting DNA sequence activity.

darts icon darts

Deep-learning Augmented RNA-seq analysis of Transcript Splicing

deepchem icon deepchem

Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology

deeptcr icon deeptcr

Deep Learning Methods for Parsing T-Cell Receptor Sequencing (TCRSeq) Data

discorobot icon discorobot

a dancing Robot built with HTML, CSS, JavaScript, jQuery

drugdisco icon drugdisco

A high throughput automated drug discovery pipeline.

epidisco icon epidisco

Personalized cancer epitope discovery and peptide vaccine prediction pipeline

extractgeo icon extractgeo

An interactive python-based datasets retriever for GEO database

lasagne icon lasagne

Lightweight library to build and train neural networks in Theano

mavis icon mavis

Merging, Annotation, Validation, and Illustration of Structural variants

minimal-mistakes icon minimal-mistakes

:triangular_ruler: Jekyll theme for building a personal site, blog, project documentation, or portfolio.

mixcr icon mixcr

MiXCR is a universal software for fast and accurate extraction of T- and B- cell receptor repertoires from any type of sequencing data. Free for academic use only.

mixedrealitytoolkit-unity icon mixedrealitytoolkit-unity

MixedRealityToolkit-Unity uses code from the base MixedRealityToolkit repository and makes it easier to consume in Unity.

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