My reasearch focuses on exploring and analyzing the underlying causes behind human movement. My belief is that language and movement are entwined. Hence, I aim towards understanding the emotions, goals, and plans of people in multimodal environments. To address this, I am combining language with human movement. I am supervised by MPI for Intelligent Systems Director Michael Black and Gül Varol.
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Doctor of Philosophy (Ph.D.) (September 2019 - now)
Max Planck Institute for Intelligent Systems
Advisor: Michael Black
Research Assistant in SLP-NTUA Laboratory (May 2017 - June 2019)
- Cognitive and affective state modeling of natural language.
- Top-ranked participation in SemEval 2018 challenge participation involved with Affect in Tweets, Task, Emoji Prediction for Tweets , Irony Detection in English Tweets.
- Exploration of cross-topic distributional semantic representations for NLP.
- Laboratory assistanship on Machine Learning courses.
Deep/Machine Learning Engineer (DeepLab, Athens) (September 2017 - November 2018)
- Development of NLP preprocessing, training, testing pipeline for end-to-end solutions for sentiment and topic classification tasks. Building and testing of state-of-the-art models using TensorFlow.
- Implementation of client framework for communicating crowdsourcing REST API(figure-eight) to create datasets for various modalities
- Examination of distributed training and evaluation and its scalability for optimal performance on multiple devices/GPUS. Building and large-scale experimental pipelines.
Diploma in Electrical and Computer Engineering (September 2012 - July 2019)
Major: Computer Science
Master Thesis: Cognitive and Cross-Topic Methods for Natural Language Representations
Advisor: Alexandros Potamianos
Grade: 9.24 / 10
National Technical University of Athens (NTUA)