Chris Samarinas

Chris Samarinas

Research Assistant at National University of Singapore

National University of Singapore

Biography

Hello, I’m a research assistant at National University of Singapore doing research in natural language processing, with applications in the detection of misinformation and toxicity on the web. Previously, I was at Plural AI, where I worked on entity extraction from webpages and semantic search, and at Donaco, where I worked on contextual recommendation of charity campaigns. I’m passionate about AI research, aiming to improve the way we discover and organize information.

Interests

  • Machine Learning
  • Natural Language Processing
  • Information Retrieval
  • Knowledge Graphs

Education

  • MSc in Advanced Computing, 2017

    Imperial College London

  • BSc in Computer Science, 2013-2017

    Aristotle University of Thessaloniki

Experience

 
 
 
 
 

Research Assistant

National University of Singapore

Feb 2020 – Present Singapore

Responsibilities:

  • Research on latent evidence retrieval for large-scale fact-checking and question answering, published at ICTAI 2020 (paper).
  • Developed Quin, a framework for large-scale semantic search that returns text snippets related to questions or statements. Deployed in a real-world evidence retrieval and fact-checking system for COVID-19 (presentation, demo).
 
 
 
 
 

Research Engineer

Plural AI

Oct 2018 – Jan 2020 London, United Kingdom

Plural AI is a fintech startup that builds a knowledge engine for the finance industry. The company focuses on extracting content from corporate websites and financial statements to enrich a financial knowledge graph, and support question answering on complex financial queries.

Responsibilities:

  • Developed a novel multi-stage method for extraction and saliency scoring of concepts from corporate websites. Owned the whole machine learning pipeline, from the annotation tool development and website crawling, to the productionization and deployment.
  • Developed a smart tool for efficient curation of an industrial category graph.
  • Developed a scalable semantic search service of companies using a novel topic modeling technique.
 
 
 
 
 

Software Consultant

Foshan.io

Aug 2018 – Nov 2018 Remote
Responsible for the development of the new version of the historical HotBot metasearch engine.
 
 
 
 
 

Research Engineer

Donaco LTD

Jun 2018 – Jan 2019 London, United Kingdom

Donaco is an online advertising startup that tries to revolutionize online donations.

Responsibilities:

  • Designed a system for contextual recommendation of charity campaigns in news articles.
  • Worked on the advertising platform and tried to utilize the real-time user behavior for better ad serving.

Awards

Bioengineering Hackathon, 1st place

1st place for developing DropSense in 48 hours, a platform that monitors and connects elderly with their relatives and paid carers using Wear OS smartwatches.

Hackathon Thessaloniki, Honor

Awarded for developing CityReport in 24 hours, an online responsive web application for instant issues reporting.

Great Moment for Education Scholarship, Award

A scholarship for achieving the highest grade at school at the national university admission examination.

National Mathematics Competition, First Prize

Awarded for competing in the final stage ‘Archimedes’, top 50 out of 20,000 participants.

Projects

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Quin

An easy to use framework for scalable semantic search.

Wamby

Web based open domain question answering system that extracts answers from the top k results of Google.

Laby

Maze generator, editor & solver in Java.

Contact