Su-Lin Tan

Correspondent

Preston's Summary

Su-Lin Tan is a correspondent for South China Morning Post (SCMP), Pearls & Irritations, and Newswav. Her articles cover a wide range of topics including international relations, economics, immigration, and aviation. Su-Lin's work has also been featured in CNBC.

Preston is the artificial intelligence that powers the Intelligent Relations PR platform. Meet Preston

Geo Focus

Coverage Attributes:

Beta
Government Announcement: 40 %
Legal Policy Regulation: 16 %
Cites Data: 15 %
Breaking News: 4 %
Event Coverage: 4 %

Themes Covered:

Not enough data icon

Not enough data

Most Recent Topics:

  • Asia
  • Australia
  • New Zealand
  • Pacific Islands
  • South East Asia
  • Consumer Health
  • Mental Health

Pitching Insights

Su-Lin Tan's coverage primarily focuses on world affairs, government and politics, finance & economy with a specific emphasis on Australia, immigration, international relations, China and the Pacific region. Given this focus, she would likely be interested in pitches that offer insights into geopolitical developments in the Asia-Pacific region.

Sources providing expert analysis or insider perspectives related to Australian policies and their impact on regional dynamics may resonate with Su-Lin Tan. Professionals well-versed in international relations within the Asia-Pacific area could also capture her interest.

Considering her attention to government announcements as well as legal policy regulation topics such as indefinite detention systems and anti-money laundering efforts involving Singapore-based remittances might align with her areas of interest.

This information evolves through artificial intelligence and human feedback. Improve this profile .

Journalists With Similar Coverage:

Based on similarity of content.
Most recent topics
Not enough data
Most recent topics
Not enough data
Most recent topics
Not enough data
Phil Mercer
Freelance News Correspondent
Publications
Most recent topics
Not enough data
Publications
Most recent topics
Not enough data