Cyril Weerasooriya (සිරිල් වීරසූරිය)

Cyril Weerasooriya (සිරිල් වීරසූරිය)

PhD Student

Lab for Population Intelligence

Rochester Institute of Technology

Hello there. I study how we can predict human disagreements during human annotation using machine learning. This work is helpful when we want to model human disagreements, which is conventionally considered annotation noise. Following recent breakthroughs in machine learning research has shown instances where the algorithms being biased towards specific groups. I’m PhD student at the Lab for Population Intelligence at RIT led by Professor Christopher Homan.

In parallel, I’m also working with University of Kelaniya in Sri Lanka to build an electronic medical record system for the entity of Sri Lanka.

My previous research also comes from sociolinguistics, studying the evolution of Sri Lankan English across multiple generations.

I enjoy DevOPS side of systems and building systems that are end to end.

When I’m not at my desk, I envy traveling.

Interests
  • Label Distribution Learning
  • Computational Linguistics & Natural Language Processing
  • DevOPS
  • Data Science
  • Machine Learning
  • Photography
Education
  • PhD in Computer Science, Current

    Rochester Institute of Technology

  • BSc in Computer Science, 2017

    University of Kelaniya

Research Experience

Research Experience

 
 
 
 
 

Intern Research Assistant

  • Research based on natural language processing and information retrieval.
  • Conducted research on aggregating food related data sources for food knowledge graph, which is used with IBM Watson.
  • The tool was able to generate the nutritional content per FDA guidelines from a crowdsourced recipe.
 
 
 
 
 

Research Assistant

Rochester Institute of Technology

Rochester Institute of Technology

Aug 2018 – Present Rochester

Responsibilities include:

  • Working on research for predicting human disagreements on natural language social media datasets.
  • Build research pipelines for deploying on Google Cloud using Python Machine Learning stack and MongoDB.
  • Presented work at ECAI 2020.

Related Experience

Related Experience

 
 
 
 
 

Adjunct Lecturer

Rochester Institute of Technology

Rochester Institute of Technology

May 2020 – Aug 2020 Rochester, NY
  • Taught CS635 - Introduction to Machine Learning virtually.
 
 
 
 
 

Tech Lead

Collaborative project with the Faculty of Medicine, and Colombo North Teaching Hospital, Sri Lanka.

  • Web based electronic patient record management system, tailored for Sri Lanka using PHP backend, and MySQL database on AWS.
  • Currently been used to identify potential patients with COVID-19, as it is the only EMR widely used in Sri Lanka.
  • The work also contributes to open sourced EMR Project, Open-EMR.
  • Research work published in NITC 2019 and workshop organizing committee for WONCA 2020.

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