📅 2025-05-29 — Session: Strategic Roadmap for Research Visibility and Branding
🕒 00:40–01:50
🏷️ Labels: Research Visibility, Github Optimization, Landing Page, Sorting Algorithms, Twitter Strategy
📂 Project: Business
⭐ Priority: MEDIUM
Session Goal:
The session aimed to develop a strategic roadmap to enhance research visibility and optimize personal branding through multiple platforms.
Key Activities:
- Research Visibility Strategy: A comprehensive 12-month strategy was outlined to enhance research visibility, focusing on SEO, collaborative citations, formal publication, and proactive citation tracking.
- GitHub Profile Optimization: A structured plan was developed to transform the GitHub profile into a personal research platform by improving narrative structure, curating repositories, and creating a profile README.
- Landing Page Proposal: A proposal was made to design a landing page for Matías Nehuén Iglesias, emphasizing technical authority, SEO compatibility, and quick exploration of his work.
- Noisy Sorting Simulation: An approach was outlined to simulate interleaved noisy sorting using a deterministic proxy, detailing algorithm design and evaluation metrics.
- Twitter Technical Narrative: Strategies were outlined to build a technical narrative on Twitter as an ‘AI Builder’, focusing on content creation and audience engagement.
Achievements:
- Developed a detailed strategic plan for increasing research visibility.
- Created actionable plans for GitHub profile optimization and landing page design.
- Outlined a simulation approach for noisy sorting algorithms.
- Formulated a social media strategy for technical narrative building on Twitter.
Pending Tasks:
- Implementation of the GitHub profile optimization and landing page design.
- Execution of the noisy sorting simulation experiment.
- Development of content for the Twitter strategy.