For current lab members:

• We use Slack for most in-lab communication
• Code
  • Source for this lab website. Edited collaboratively by everyone.
  • The bonsai-nn-library python package contains useful shared code to use across different projects. Contributions back to the library from lab members are encouraged!
  • Template/demo project illustrating best-practices for setting up a project with PyTorch and MLFlow
• Compute
  • Ask Richard for an account on the lab's shared server to run small/mid-size jobs.
  • Get a research computing account with RIT for larger jobs.

For prospective PhD students:

We are currently at capacity given funding and not recruiting new PhD students.

For current RIT students:

• Anyone can get involved by coming to lab meetings, joining the Slack, etc.

• Pathways for BS and MS students to get involved in research include independent study, a capstone project, or a thesis project. An independent study is a deep dive into a topic that is not otherwise covered in another RIT course. The focus is typically on reading to survey some sub-topic in the literature, plus a small amount of coding to replicate existing work / demonstrate understanding. Typically, independent studies do not involve significant original work or research.

  Independent studies are typically arranged about a semester in advance. Topics are always a compromise between student interests and advisor interests, and finding a good topic requires one or two face-to-face meetings with Prof. Lange. An independent study ideally translates to a capstone or thesis project later, but this is not a requirement. Likewise, a capstone or thesis project does not require an independent study first, but it helps.

  Talk to your academic advisor to make a plan, and find more informationa bout IS/Capstone/Thesis tracks on the RIT website.