💻 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

• 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
• Minor Degree in Finance (average grade : 3.82/4), 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].

🔬 My research journey

• Initially I pursued an 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.
• 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].

💼 My industry journey

• 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
• Automation Specialist (Advanced Data Analytics) @𝐔𝐛𝐞𝐫: Data Extraction, Data Analysis, Data Visualisations, Machine Learning, Automation. Implemented and maintaining 25+ automation/data science projects (real-time, non real-time)

👨‍🏫 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 [email protected]
• 🤝 I'm open to collaborating on interesting projects and ideas around the Machine Learning and AI world.