Our Team

It’s (also) all about team-work. The two of us, Stavros and Vassilis,  we know each other for more than a decade. We have worked together in between either during our PhDs and/or as post-doctoral researchers, or for product development. We have more than 10 years of working and research experience in either EU, Greek national, US funded projects, and more than 70 publications in peer reviewed scientific international journals and top research conferences, where we also offer our services as peer reviewers.  We had partners in research projects across several universities, and institutions. We consider the chemistry between all team members  to be a natural ingredient that composes  an inspiring collaborative working environment; this is the vehicle for succesfull work in both industrial and scientific challenging frameworks.


Founder & Chief Executive Officer

PhD (NTUA, 2014) in machine learning and computer vision. Served as research assistant in various EU projects (FP6/7, H2020). Strong research and working experience in a variety of applications in the areas of speech recognition, natural language processing, recommender systems and computer vision, applying state-of-the-art machine learning technologies. Interests in artificial intelligence: machine learning, deep learning, signal processing and reinforcement learning.


Founder & Chief Science Officer

PhD (NTUA, 2007) in signal processing and automatic speech recognition. Served as post-doctoral research associate with long experience in EU research projects (FP6/7, H2020). Interests and work span a variety of artificial intelligence, human-computer interaction and data analytics areas, especially targeting machine learning. Indicative applications include multimodal gesture and action recognition, multimodal fusion, language processing and automatic sign language recognition.


HR & Business Ops

Integr. Hons (Manchester Metropolitan University, 2017) International Business/ Law & Marketing. Dissertation in “Developing a Digital Business”. Work experience in Marketing & HR/ Business Administration for companies in Greece and the UK. Business Administration and Psychology at Work Research Assistant (Manchester Metropolitan University, 2016) supporting Ph.D students in research,  surveys and analysing data. Organically growing a career experience in the digital solutions market and the management of niche firms.


Senior Machine Learning Researcher - Team Lead

MSc in Computer Science and Engineering (University of Patras,2014) and PhD candidate in biomedical informatics, specializing on Computational Methods for Transcriptomics Data Analysis. 10-year work experience as a software and machine learning engineer in six R&D European and Greek National Projects and as a product development manager of a machine learning empowered bioinformatics startup in the fields of precision medicine and nutrition.  


Senior Machine Learning Engineer - Team Lead

PhD (University of Edinburgh, 2019) in natural language processing. Focus on deep learning methods for understanding long-form text with applications on summarization, opinion mining and question answering. Served as a postdoctoral Research Fellow at the University of Edinburgh, working in collaboration with the EdinburghNLP group and Megagon Labs (2019-2021). Has previously interned as an Applied Scientist at Amazon CoreAI. Particularly interested in applying novel deep learning solutions to problems where task-specific supervision is scarce.


Senior Machine Learning Engineer - Tech Lead

MSc (University of Edinburgh, 2019) in Artificial Intelligence. Masters dissertation on Spatio-Temporal Forecasting with Convolutional LSTM architectures. Background in Mathematics and Physics (joint honours BSc) from the University of Glasgow. Highly interested in computer vision, natural language processing and deep learning and aspires to build upon and apply knowledge in both modern machine learning techniques and traditional statistics.


Senior Machine Learning Researcher

MSc (Technical University of Crete, Chania, Greece, 2014) in “Convex Optimization Methods for Machine Learning” and PhD (Technical University of Crete, Chania, Greece, 2022) in “Statistical Learning Theory”. Highly interested in statistics, probability and combinatorics.


Machine Learning Engineer - Tech Lead

MSc (NTUA, 2020) in Data Science and Machine Learning with a focus on neural networks and precisely on Deep Reinforcement Learning. He has previously worked in major Big Data and Data Science projects from Telco, Banking and Energy industries. His interests include a big spectrum of fields such as Deep Learning, Big Data and Distributed Systems.


Machine Learning Engineer

MSc (Technical University of Crete, Chania, Greece, 2021) in Electrical and Computer Science focused on Distributed Online Machine Learning and Dig Data technologies. Aris is an experienced Machine Learning and Big Data Engineer with a demonstrated history of working on industry and research alike. He specialises in the development of large-scale end-to-end production-level A.I. driven systems. Highly interested in Deep Learning, Reinforcement Learning and Streaming Analytics.


Machine Learning Engineer

MSc in Applied Mathematics from ETH Zürich. He conducted his thesis on invariant Bayesian neural network architectures. Nikos possesses extensive experience in both industry and research as a Machine Learning Engineer, specializing in Natural Language Processing (NLP) and the application of deep learning in the biopharmaceutical domain. He is particularly interested in Reinforcement Learning, Statistical and Probabilistic Learning, as well as in Computer Vision


Machine Learning Engineer

Msc (NTUA, 2019) in Geoinformatics with a focus on satellite imagery classification and transfer learning. He has spent the past 3 years working as a machine learning and data engineer, with a focus on various NLP, speaker recognition and computer vision projects. Highly interested in machine learning, deep learning and big data.  


Machine Learning Engineer

Electrical & Computer Engineering 5-year degree (NTUA, 2021). Master thesis was on the topic of visual emotion recognition and was supervised by P. Maragos at NTUA. He has previously participated in Google Summer of Code where he implemented an online Greek mail dictation system. Strong interest in machine learning, computer vision and natural language processing.


Machine Learning Engineer

MSc (National Technical University of Athens, 2022) in Data Science and Machine Learning. His master’s dissertation focused on hybrid recommender systems using neural networks. Demonstrating his passion and dedication, Michael graduated at the top of his class in both his bachelor’s in Computer Science (NKUA, 2020) and his master’s degrees. Since graduating, he has been working as a Machine Learning Engineer, with a keen interest in deep learning, recommender systems, NLP and reinforcement learning.


Research Associate, External Collaborator

PhD (CRG/UPF, 2016) in comparative genomics, phylogenomics, and cellular evolution.  Served as post-doctoral research scientist at the American Museum of Natural History (AMNH), EMBO post-doctoral fellow at the University  of British Columbia (UBC), and independent research fellow at the Berlin Institute for Advanced Study (WIKO). Strong interest in genome analysis and protein evolution, keen on exploiting evolutionary information to address biological questions.  


AI bioinformatics consultant, External Collaborator

PhD (UPATRAS, 2016) in Machine Learning and Bioinformatics. He is an Assistant Professor of Artificial Intelligence in Modeling Complex Systems, in the Department of Informatics, Ionian University, Corfu, Greece, and a member of the Bioinformatics and Human Electrophysiology Laboratory in the same Department. His research interests include Machine Learning, Biomedical Data Mining, Biological Complex Systems Modeling, and Network Medicine. He has more than 50 publications in journals and conference proceedings, including Oxford Bioinformatics, BMC genomics, IEEE journal of biomedical and health informatics, and Cellular and molecular life sciences.


Bioinformatics expert consultant, External Collaborator

MSc in theoretical computer science and MSc in bioinformatics and systems biology, with a BSc in mathematics. PhD candidate in Bioinformatics at the Max Delbruck Center (MDC-berlin) and Humboldt University (Expected 2023). Extensive work in bioinformatics pipelines, single cell omics analyses, biological data analysis and machine learning applications. Certified carpentries instructor. Interested in Machine learning applications on single cell data.


ML Engineer, External Collaborator

Electrical & Computer Engineering 5-year degree (NTUA, 2017). Master thesis was about segmentation and classification of fine-grained actions in videos. Nikos has also worked for 1.5 year as an Artificial Intelligence engineer in METIS Cybertechnology, developing Natural Language Processing systems for a commercial chatbot. Interested in fusion of both visual and linguistic cues for rich multimodal representation, perception and understanding.