Career Profile

I am Data Scientist and a Researcher passionate about Machine Learning, Social Computing, and Privacy. My prior work, among others, includes leveraging Machine Learning to accurately identify online hate speech and I have also conducted several large-scale studies on social networks using various NLP tools.

I have experience both with supervised and unsupervised learning (e.g., Scikit-Learn, Tensorflow, PyTorch) as well as various Natural Language Processing technologies and tools (e.g., BERT, NLTK).

In the past, I served as a Marie Skłodowska-Curie Fellow at University College London from where I received my Ph.D. and I was also a Research Assistant at Queen Mary University of London. I hold an M.Sc. in Information Security and a M.Eng. in Software Engineering.


Research Assistant

Aug 2019 - Aug 2020

  • Used various Machine Learning tools to accurately identify online hate speech (Random Forest, SVM, BERT, Logistic Regression).
  • Studied how different features and datasets affect the performance of hate speech classifiers.

Machine Learning Natural Language Processing Supervised Learning Hate Speech Detection Classification Feature Engineering Data Handling

Marie Skłodowska-Curie Fellow

Aug 2016 - Jul 2019

  • Awarded a Horizon 2020 Marie Skłodowska-Curie Fellowship for the Privacy & Usability Innovative Training Network.
  • Studied how direct-to-consumer genetic testing is being used by far-right groups to promote racist ideologies. To do so, I conducted several large-scale studies on social networks using various Natural Language Processing, Computer Vision, and Machine Learning tools.
    Media Coverage The Times, StatNews
  • Critically evaluated and systematized the research produced by the genome privacy community in the context of privacy-enhancing technologies geared for testing, storing, and sharing genomic data.

Machine Learning Natural Language Processing Unsupervised Learning Computer Vision Social Network Analysis Sentiment Analysis Privacy Security

Visiting Researcher

Sep 2017 - Dec 2017

  • Designed and ran a survey on the public perceptions of direct-to-consumer genetic testing.

Qualitative Research Survey Design

  • Studied how health and genetic data is being handled under GDPR.


Skills & Proficiency


A summary of my main expertise.
Machine Learning Classification Supervised Learning Unsupervised Learning Natural Language Processing Feature Engineering Data Handling Data Visualization NoSQL Privacy Security


A non-exhaustive list of tools that I am proficient with.
 Programming Languages: Python Java
 Libraries: Scikit-Learn Matplotlib Pandas Tensorflow PyTorch HuggingFace NLTK
 Methodologies: Agile Scrum
 Databases: mongoDB MySQL
 Tools: Git SVN Docker Bash

Transferable Skills

Skills that I have gained through experience.
Project Management Public Speaking Academic Writing Analytical Skills Technical Communication Flexibility & Versatility Critical Thinking

Selected Publications

Open-Source Projects

Oblivious Transfer Extensions: A concrete implementation of the IKPN03 protocol written in Java, using the SCAPI interface.
Java Cryptography
Daedalus: An academic schedule manager made for the department of Information and Communications Systems Engineering at the University of the Aegean.
Full Stack Development


Marie Skłodowska-Curie Fellow Scholarship

2016 - 2019
University College London

Received a Horizon 2020 Marie Skłodowska-Curie fellow scholarship for 3 years to investigate the societal challenges stemming from the rise of personal genomic testing. Acceptance Rate: 6%

University of the Aegean Scholarship

2015 - 2016
University of the Aegean

Received a scholarship for my M.Sc. studies at the University of the Aegean.