Powering Proactive Care with Clinical AI

Ioannis is the Co-founder and CEO of Aisthesis Medical, where he leads the development of VIOSync, an AI-powered clinical decision support tool designed to predict life-threatening conditions such as sepsis before they escalate. His mission is to empower clinicians with actionable insights that improve patient outcomes and transform acute care. He holds an MEng and MSc in Electrical and Computer Engineering from the Technical University of Crete and a PhD in Clinical Medicine Research from Imperial College London, where his work at the Hamlyn Centre focused on developing pioneering AI-based surgical imaging guidance systems for gastrointestinal cancer surgery. Passionate about translating advanced technologies into real-world clinical practice, Ioannis founded Aisthesis Medical to bridge the gap between engineering innovation and frontline healthcare. His work and vision have been recognised with his inclusion in the Forbes 30 Under 30 Greece list (2023).

Vasilis is the Co-founder and CSO of Aisthesis Medical, where he leads the scientific and regulatory strategy for VIOSync, an AI-powered software-as-a-medical-device that predicts sepsis and patient deterioration up to 48 hours in advance. His expertise lies in bridging advanced machine learning with clinically validated, MDR- and FDA-compliant solutions that deliver explainable and actionable insights for healthcare providers. He holds a PhD in Neuroscience from ETH Zurich and University Hospital Zurich, where his research focused on developing and validating digital biomarkers in epilepsy surgery. He also holds an MEng in Electrical & Computer Engineering from the Technical University of Crete. Vasilis has over 5 years of industrial experience in AI development and clinical translation, including roles at CERN and IBM, and has authored multiple peer-reviewed scientific publications. Recognized as a Forbes 30 Under 30 honoree (Greece), he is passionate about harnessing AI to transform acute care and improve patient outcomes.

Sotiris is the Co-founder and Chief Technology Officer of Aisthesis Medical, where he leads the design and development of VIOSync, an AI-powered Software as a Medical Device (SaMD) for the early detection of sepsis and patient deterioration. He holds an MSc in Biomedical Engineering (2023) and an MEng in Electrical and Computer Engineering (2019) from the Technical University of Crete, with over five years of experience in artificial intelligence and healthcare technology. His technical expertise spans time series analysis, tumour growth modelling, optimal control, and full-stack software engineering. As CTO, he oversees the company’s SaMD development lifecycle under EU MDR. In 2024, he was named a Forbes 30 Under 30 Greece honoree for his contributions to medical AI innovation.

Savvas is an ICU Consultant and the lead for data and reporting at the Department of Critical Care Medicine, King’s College Hospital, London. He also serves as an Honorary Senior Lecturer at King’s College London School of Cardiovascular Medicine and Sciences and as a Distance Learning Tutor for the Epidemiology programme at the London School of Hygiene and Tropical Medicine (LSHTM). He holds MSc degrees in Epidemiology (LSHTM) and Healthcare Decision Making (LSE). His clinical and academic interests span acquired brain injury following trauma or cardiac arrest, as well as health technology assessment (HTA). At Aisthesis Medical, Savvas serves as Clinical Lead, guiding the clinical validation strategy and ensuring the alignment of VIOSync with real-world clinical practice and patient care needs.

Petros is our AI Lead, directing the strategy, development, and deployment of advanced machine learning initiatives.
He holds a Diploma in Electrical and Computer Engineering (Aristotle University of Thessaloniki) and an MSc in Artificial Intelligence (University of Piraeus, 2023).
Petros is adept at delivering end-to-end, production-ready ML systems. His expertise spans the full technical stack, from designing resilient data pipelines and optimizing training workflows to building scalable model serving infrastructure. He has a demonstrated capacity to transition complex AI research prototypes into high-impact products, leading cross-functional teams in both startup and established environments. As a published researcher (INTERSPEECH, ACII), he connects contemporary ML research with practical industrial application.

George holds a B.Sc. in Computer Science and Engineering with a focus on smart automation systems. With over a decade of experience in designing and implementing scalable backend systems, George oversees Aisthesis Medical’s product deployment, ensuring seamless EHR integration and web application development. His core expertise lies in Python development using FastAPI, Django, and Flask, combined with modern DevOps practices including container orchestration with Kubernetes, infrastructure as code with Terraform, and CI/CD automation. George has played a key role in migrating monolithic applications to microservices, designing event-driven systems with Kafka, and maintaining high-performance cloud-based services on AWS and GCP.

Stavroula graduated from the Aristotle University of Thessaloniki with an integrated Master’s in Electrical and Computer Engineering in 2025. As a Data Scientist at Aisthesis Medical, Stavroula contributes to the development and validation of advanced AI models for predictive healthcare. She brings strong expertise in graph neural networks, signal processing, and machine learning, with practical experience in Python, PyTorch, and containerized environments. Before joining Aisthesis, Stavroula gained valuable research experience at CERN, where she contributed to large-scale data analysis projects, further strengthening her skills in computational methods and high-performance data processing.

Chara joined Aisthesis Medical as a Data Science Intern, bringing a strong foundation in Computer Science and Biomedical Informatics. She holds a B.Sc. in the field, with specializations in machine learning, robotics, medical imaging, and data analysis. Chara is passionate about exploring how AI technologies can be meaningfully applied to support medical decision-making and enhance patient care. She’s eager to contribute to Aisthesis Medical’s mission and apply her technical skills to real-world healthcare challenges.

Ioannis holds a degree in Computer Science and Engineering from the International Hellenic University, with a strong focus on AI applications in healthcare. His thesis focused on the semantic segmentation of human embryos in in-vitro fertilization procedures, applying advanced computer vision and deep learning models for medical imaging. During his studies, he actively participated in IEEE activities and stood out in several health-tech-related hackathons. Since May 2025, he has been working as a Junior Data Scientist at Aisthesis Medical, contributing to the development of AI models for sepsis and patient deterioration prediction based on multimodal clinical data.

Ioanna is a Data Science Intern at Aisthesis Medical and a student of Computer Science and Biomedical Informatics. She possesses a passion for artificial intelligence and its application in healthcare, backed by a versatile technical skillset. Her expertise includes data analysis and visualization, Android application development, and managing cloud infrastructures on Azure. Ioanna is also a published researcher, having contributed to a scientific project that was both presented at a conference and featured in a journal. She is focused on translating her research and technical acumen into impactful, data-driven solutions for medical challenges.