💻 Coding since 2015, fascinated by the endless possibilities of the vast amount of biological data I decided to specialize my ML/DL skills in bioinformatics

🎓 My education journey

• (𝟐𝟎𝟐𝟓 - 𝐏𝐫𝐞𝐬𝐞𝐧𝐭) 🎓 PhD in 𝐁𝐢𝐨𝐢𝐧𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐜𝐬 at the 𝐈𝐨𝐧𝐢𝐚𝐧 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 : Currently, I am pursuing my PhD under the title “Advancing AI for Integrative Bioinformatics in Precision Medicine”, where I focus on developing interpretable and scalable multi-modal AI frameworks that integrate medical imaging, clinical text, and omics data to enhance clinical decision support, disease stratification, biomarker discovery, and personalized treatment planning.
• (𝟐𝟎𝟏𝟕 - 𝟐𝟎𝟐𝟎) Minor Degree in 𝐅𝐢𝐧𝐚𝐧𝐜𝐞 (average grade : 3.82/4) at 𝐃𝐞𝐫𝐞𝐞 𝐂𝐨𝐥𝐥𝐞𝐠𝐞, with emphasis on Foundations of Investments, Portfolio Management, and Machine Learning. Check our latest paper titled '𝘈 𝘨𝘦𝘯𝘦𝘳𝘢𝘭𝘪𝘻𝘢𝘵𝘪𝘰𝘯 𝘰𝘧 𝘮𝘶𝘭𝘵𝘪-𝘴𝘰𝘶𝘳𝘤𝘦 𝘧𝘶𝘴𝘪𝘰𝘯-𝘣𝘢𝘴𝘦𝘥 𝘧𝘳𝘢𝘮𝘦𝘸𝘰𝘳𝘬 𝘵𝘰 𝘴𝘵𝘰𝘤𝘬 𝘴𝘦𝘭𝘦𝘤𝘵𝘪𝘰𝘯' [link].
• (𝟐𝟎𝟏𝟓 - 𝟐𝟎𝟐𝟐) M.Eng in 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 (average grade: 9.11/10) at the 𝐍𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐨𝐟 𝐀𝐭𝐡𝐞𝐧𝐬 (𝐍𝐓𝐔𝐀) , my year-long thesis project revolved around Machine & Deep Learning Classification and Visual Explanation of Dyslexia and Spelling Deficiency using fMRI Data, where I experimented with GLM 1st Level Analysis, Atlas Analysis, Graph-CNN modeling, and GrandCAM

🔬 My research journey

• (𝟐𝟎𝟐𝟓 - 𝐏𝐫𝐞𝐬𝐞𝐧𝐭) Currently I am 𝐀𝐈 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡𝐞𝐫 & 𝐈𝐓 𝐒𝐮𝐩𝐩𝐨𝐫𝐭 for Mental Health Projects @𝐊𝐋𝐈𝐌𝐀𝐊𝐀: As an AI Researcher and IT Support specialist, I contribute to mental health and suicide prevention initiatives by developing LLM-based dynamic questionnaires and self-assessment tools. I collaborate with clinicians and hospitals to improve early intervention, crisis response, and patient care through ethical and secure AI solutions. I ensure GDPR compliance and support the responsible use of sensitive mental health data across all digital platforms.
• (𝟐𝟎𝟐𝟏) I later worked as a 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐚𝐬𝐬𝐢𝐬𝐭𝐚𝐧𝐭 at the 𝐁𝐢𝐨𝐦𝐞𝐝𝐢𝐜𝐚𝐥 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐅𝐨𝐮𝐧𝐝𝐚𝐭𝐢𝐨𝐧 𝐀𝐜𝐚𝐝𝐞𝐦𝐲 𝐨𝐟 𝐀𝐭𝐡𝐞𝐧𝐬 (𝐁𝐑𝐅𝐀𝐀), researching Machine & Deep Learning for 𝘗𝘢𝘳𝘬𝘪𝘯𝘴𝘰𝘯’s classification, using raw tabular data from the Greek 𝘗𝘢𝘳𝘬𝘪𝘯𝘴𝘰𝘯 Database. This involves feature importance analysis, visual explanation techniques, and embedding methods
  • Presented a poster at the 6th HBP Student Conference on Interdisciplinary Brain Research [link].
  • Under the supervision of Ioannis Micaholopoulos, we also researched the severity of COVID-19 and we built a Machine Learning-Based Web Tool. Check our latest paper titled 𝘈 𝘔𝘢𝘤𝘩𝘪𝘯𝘦 𝘓𝘦𝘢𝘳𝘯𝘪𝘯𝘨-𝘉𝘢𝘴𝘦𝘥 𝘞𝘦𝘣 𝘛𝘰𝘰𝘭 𝘧𝘰𝘳 𝘵𝘩𝘦 𝘚𝘦𝘷𝘦𝘳𝘪𝘵𝘺 𝘗𝘳𝘦𝘥𝘪𝘤𝘵𝘪𝘰𝘯 𝘰𝘧 𝘊𝘖𝘝𝘐𝘋-19 [link].
• (𝟐𝟎𝟏𝟗) Initially I pursued an 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 𝘈𝘭𝘻𝘩𝘦𝘪𝘮𝘦𝘳-related internship at the 𝐍𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐂𝐞𝐧𝐭𝐞𝐫 𝐟𝐨𝐫 𝐒𝐜𝐢𝐞𝐧𝐭𝐢𝐟𝐢𝐜 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 "𝐃𝐞𝐦𝐨𝐤𝐫𝐢𝐭𝐨𝐬", where I tackled diagnostic classification using text data from 𝘈𝘭𝘻𝘩𝘦𝘪𝘮𝘦𝘳's patients and was exposed to state-of-the-art NLP models from a biomedical perspective.

💼 My industry journey

• (𝟐𝟎𝟐𝟓 - 𝐏𝐫𝐞𝐬𝐞𝐧𝐭) 𝐒𝐞𝐧𝐢𝐨𝐫 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 @𝐆𝐫𝐢𝐝 𝐃𝐲𝐧𝐚𝐦𝐢𝐜𝐬 : Designing production-grade AI/ML systems, enabling LLMs and advanced ML workflows, collaborating with stakeholders, and building scalable ML infrastructure for full lifecycle deployment. Contributing to technical leadership, ML system integration, and innovation.
• (𝟐𝟎𝟐𝟒 -𝟐𝟎𝟐𝟓) 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐭𝐢𝐬𝐭 @𝐇𝐒𝐁𝐂: As a Data Scientist in Compliance Analytics, I led analytical projects spanning investigations, intelligence delivery, and transaction monitoring. I utilized statistical techniques for insight generation, conduct data analysis for senior management, identify process improvements, and ensure compliance with organizational standards and regulatory guidelines.
• (𝟐𝟎𝟐𝟏 - 𝟐𝟎𝟐𝟒) 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐒𝐩𝐞𝐜𝐢𝐚𝐥𝐢𝐬𝐭 (Advanced Data Analytics) @𝐔𝐛𝐞𝐫: Data Extraction, Data Analysis, Data Visualisations, Machine Learning, Automation. Implemented and maintained 25+ automation/data science projects (real-time, non real-time)
• (𝟐𝟎𝟐𝟏) 𝐋𝐨𝐜𝐚𝐥 𝐎𝐩𝐞𝐫𝐚𝐭𝐢𝐨𝐧𝐬 𝐈𝐧𝐭𝐞𝐫𝐧 (Data Analytics) @𝐔𝐛𝐞𝐫: Using Advanced SQL, Python to analyze data, gather business insights and understand rider/driver behavior as well as areas for improvement

👨‍🏫 I seek to combine machine learning knowledge in various fields (transportation, finance, healthcare) with my research interest in biological data through a collaborative effort with other passion-driven scientists and researchers. My research interests lie in the fields of genomics, biomedical ML/DL, and time series analysis, while I constantly seek a thorough knowledge of new advancements.

𝐂𝐎𝐍𝐓𝐀𝐂𝐓 𝐃𝐄𝐓𝐀𝐈𝐋𝐒:

• 🌍 I'm based in Krakow, Poland 🇵🇱
• ✉️ You can contact me at LinkedIn or dgeorgiou3@gmail.com
• 🤝 I'm open to collaborating on interesting projects and ideas around the Machine Learning and AI world.