Cancer Immunotherapy Lab

The Cancer Immunotherapy Lab is a structured, application-focused environment designed to enable participants to work on computational and data-driven approaches in cancer immunotherapy. The lab focuses on the analysis and development of immunotherapy strategies, including checkpoint inhibitors and neoantigen-based approaches, using bioinformatics and computational modeling tools.

This lab operates as a guided research system, where participants engage in structured tasks, collaborative work, and project-based execution within a controlled framework. It is not a traditional course, but a workflow-driven environment designed to simulate real research and freelance project conditions.

Participation in this lab involves working across three integrated platforms. The management, task tracking, submissions, and evaluation are handled through the
Bioinformatics Gate platform.
All communication, team collaboration, and meetings are conducted via Microsoft Teams and
Zoom.
The project execution and portfolio development take place through the
SciFreelance platform, where participants build a professional profile and gain exposure to real project workflows.

The lab runs in scheduled rounds throughout the year, and participants are assigned to structured teams. Each participant progresses through defined stages including task execution, collaboration, project development, and final output preparation.

At the end of the lab, each participant contributes to a publishable research output, which may include a Research Paper, Conference Paper, Poster, Abstract, or Review Article. All completed work contributes to the participant’s professional portfolio and supports transition into real freelance or research opportunities.