I am a data scientist with expertise in quantitative research. My prior work includes several large-scale studies on social networks and investigating the efficiency of machine learning tools for the identification of online hate speech. In the past, I served as a Marie Skłodowska-Curie Fellow at University College London and a Research Assistant at Queen Mary University of London.
Investigating the efficiency of machine learning tools for the identification of online hate speech. Specifically, studying how different methods, features, and datasets affect the performance of hate speech classifiers.Machine Learning Transfer Learning Natural Language Processing Hate Speech Detection
Awarded a Horizon 2020 Marie Skłodowska-Curie Fellowship for the Privacy & Usability Innovative Training Network. My research focused on two aspects of direct-to-consumer genetic testing: a) identifying privacy and security limitations of the tools used for testing, storing, and sharing genomic data, and b) conducting large-scale studies on social platforms to characterize how far-right groups use genetic ancestry testing to promote racist ideologies.Quantitative Research Natural Language Processing Social Network Analysis Privacy Security
Studying how health and genetic data is being handled under GDPR.GDPR
Mittos Alexandros, Savvas Zannettou, Jeremy Blackburn, and Emiliano De Cristofaro. 'And We Will Fight For Our Race!' A Measurement Study of Genetic Testing Conversations on Reddit and 4chan. In Fourteenth International AAAI Conference on Web and Social Media, 2020 (ICWSM).
Media Coverage The Times, StatNews
Acceptance Rate: 21%
Mittos Alexandros, Bradley Malin, and Emiliano De Cristofaro. Systematizing Genome Privacy Research: A Privacy-Enhancing Technologies Perspective. Proceedings on Privacy Enhancing Technologies, 2019 (PoPETs).
Acceptance Rate: 22%
Mittos Alexandros, Savvas Zannettou, Jeremy Blackburn, and Emiliano De Cristofaro. Analyzing Genetic Testing Discourse on the Web Through the Lens of Twitter, Reddit, and 4chan. ACM Transactions on the Web, 2020 (TWEB).
Skills & Proficiency
Machine Learning Abusive Speech Detection Feature Engineering
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%
Received a scholarship for my M.Sc. studies at the University of the Aegean.