I am a PhD student in the Computer Science Department at Boston University, fortunate to be advised by Derry Tanti Wijaya and Sarah Adel Bargal. My interests lie in the areas of Machine Learning, Information Extraction and Natural Language Processing. My research focuses on developing data-efficient models and techniques for representing highly complex data, including text, time-series, images and graph-structured data, for a broad spectrum of applications, such as Multimodal Learning, Machine Translation and Social Media Analytics.
I completed my undergraduate studies in 2016 at the National Technical University of Athens, from which I hold a diploma in Electrical and Computer Engineering. In my diploma thesis, I worked with Prof. Christoforos Anagnostopoulos, Prof. Nectarios Koziris and Haris Michailidis on modeling and optimization of a manufacturing industry line, by applying Machine Learning algorithms to refine production monitoring and automation.
Throughout my path I have gained significant industry experience as a Developer and a Researcher, contributing to both product- and academic research oriented projects. During my senior year, I was a Software Engineering Intern at Nokia, developing statistical analysis and visualization tools for testing and systems faults' diagnosis. As a graduate student, in the Summer of 2019 I was a Research Intern at Electronic Arts, studying online clustering algorithms for anomaly detection in time series. During the Summer of 2021, I was a Research Intern at SRI International, working with Dayne Freitag and John Niekrasz on Temporal Knowledge Graph embeddings for predicting social media users' event-driven behavior.
For more details you can see my CV. Feel free to contact me for questions or any potential interest.
CS 542 - Machine Learning.
Instructor: Sarah Adel Bargal,
CS 455 - Computer Networks.
Instructor: Mark Crovella,
CS 103 - Introduction to Internet Technologies and Web Programming.
Instructor: Vahid Azadeh Ranjbar,
Spring & Fall 2018
I have also worked as a Graduate Course Grader for the courses below:
CS 391 - Foundations of Data Science.
Instructor: Evimaria Terzi,
Fall 2019 & 2020, Spring 2020
CS 507 - Introduction to Optimization in Computing and Machine Learning.
Instructor: Lorenzo Orecchia,
CS 530 - Advanced Algorithms.
Instructor: Steven Homer,