Dr. Jonathan Cardoso Silva

Assistant Professor

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Biography

Jonathan Cardoso-Silva is an Assistant Professor at the Data Science Institute of the London School of Economics. He joined LSE in September 2021 as a postdoctoral researcher and became a permanent staff member in January 2022. He is deeply committed to high-quality teaching and innovative pedagogical practices in data science, specifically focusing on Generative AI. Jonathan leads undergraduate courses such as DS105 (Data Science) and DS205 (Advanced Data Manipulation), which concentrate on developing skills in data collection, manipulation, and effective collaboration among students. His teaching philosophy emphasizes project-based learning and fostering strong relationships within the classroom. Jonathan's scholarly interests are primarily related to pedagogical practices in data science and exploring innovative teaching methods. He co-leads the GENIAL project at the Data Science Institute, which investigates the impact of tools like ChatGPT and GitHub Copilot on programming skills and critical thinking among students. Jonathan has a PhD in Computer Science from King's College London, where his research focused on optimization, network science, and machine learning applications. He previously worked as a full-stack software developer and Lead Data Scientist at a Brazilian data science consultancy. He is recognized for his expertise in Complex Network Analysis, Machine Learning, and Natural Language Processing.

Research Interests

Requirements for London School of Economics and Political Science

Master Program
Requirements
GPA Requirement
Required:3.5
IELTS
Listening
Required:6.5
Reading
Required:7
Writing
Required:6.5
Speaking
Required:6.5
Overall
Required:7
Prerequisites
Upper second class honours (2:1) degree or equivalent in a relevant social science discipline
Application Checklist
  • Transcripts
  • Statement of Academic Purpose
  • Two academic references
  • CV
Specialization Notes

Standard English requirement applies to most programs in Geography, Anthropology, Sociology, and Media.