Hybrid-Bootcamp Projects

Project Overview

The Career Exploration and Career Advancement categories have comprehensive overviews of each project.

Not yet comfortable with the STEM-Away forum navigation? Check out the Projects Landing Pages.

Mentor led webinars in the hybrid-bootcamps program are instruction-centric and map to the online modules defined in the above categories.

Mentor sessions in the virtual-internship program are more discussion-centric. These sessions help individual teams decide the details of their project. Product vision, strategic plans and roadmap are set by team leads. Overall goals are set based on the level of the internship team (details below).

Invitations to internship team presentations will be shared with hybrid-bootcamp members.




Bioinformatics

  • Level 1: Bioinformatics Pipeline applied to Transcriptomics - Recreate Research

  • Level 2: Bioinformatics Pipeline applied to Transcriptomics - Extend Research/ Productize

  • Level 3: Develop Bioinformatics Apps using the R Shiny Framework & AWS




Cloud Computing/ Hardware Engineering

Decision about these 2 pathways to be announced by March end.




Full Stack

  • Level 1: Frontend development (Ember.js) - work with open source code repositories

  • Level 2: Frontend (Ember.js) and backend (Ruby) development - work with open source code repositories

  • Level 3: Frontend (Ember.js) and backend (Ruby) development - contribute to open source code repositories




Machine Learning

  • Level 1: Design and deploy a NLP based classification or tagging system

  • Level 2: Drug-Target Relationship Discovery Software Using Machine Learning - Recreate research

  • Level 3: Drug-Target Relationship Discovery Software Using Machine Learning - Extend Research/ Productize

(Levels 2 & 3 are interdisciplinary projects that combine Machine Learning, Bioinformatics and Cloud Computing)




UX & UI

  • Level 1 UX team-centric projects will not be run in summer

  • Level 2: Work alongside participants from one of STEM-Away’s pathways (Full-Stack/ Bioinformatics/ Machine Learning) to build a product that incorporates user research and design methods. Includes creation of a formal UX portfolio.