BioSysLab

National Technical University of Athens

Biomedical Systems Laboratory

Engineering, computation, and molecular measurement for translational biology and medicine.

BioSysLab develops measurement and computational frameworks for translational biology. The lab's core expertise is mathematical, computational, and data-driven modeling, integrating molecular measurements and clinical context with biomedical questions in cancer, chronic disease, drug response, and precision health.

20+ years in multiplex assays, proteomics, and systems biology
34 alumni trainees across postdoc, PhD, MS/Diploma, and undergraduate levels
NTUA Biomedical systems, computation, and engineering

Research

Research directions

We study biological systems through mathematical models, machine learning & AI, network biology, and computational analysis of high-dimensional biomedical data. Wet-lab access and experimental/clinical collaborators support.

Computational proteomics and signaling

We model proteomic, phosphoproteomic, cytokine, and secretome data to infer pathway activity, regulatory structure, and disease-relevant molecular states.

Biomarker modeling and translation

We combine plasma proteins, liquid-biopsy signals, clinical variables, and causal evidence into interpretable models for early detection, monitoring, and stratification.

AI for translational biology

We develop interpretable and generative models of disease trajectories, tumor resistance, drug response, and adaptive biomedical decision-making.

Mathematical disease dynamics

We study disease progression as dynamic state landscapes, using tools such as optimal transport, stochastic models, control theory, and trajectory inference.

People

Current members

Leonidas G. Alexopoulos

Leonidas G. Alexopoulos

Professor, National Technical University of Athens

Prof. Alexopoulos leads BioSysLab at NTUA. He works at the interface of engineering, computation, proteomics, and medicine, with more than two decades of experience in multiplex assays and systems biology.

He has trained at Duke, MIT, and Harvard, co-founded the biotech spin-off Protavio, and co-founded the NTUA Master's program in Translational Engineering in Health and Medicine.

  • Post-doc @ MIT, Harvard Medical School
  • PhD, Duke University
  • MSc, Duke University
  • Integrated MSc, Aristotle University of Thessaloniki
  • Google Scholar
  • ORCID
  • leo@mail.ntua.gr
Nikolaos Meimetis

Nikolaos Meimetis

Postdoctoral Researcher

(June 08, 2026-present)

Nikolaos is a computational systems biologist and engineer with interests in translational oncology, tumor progression and treatment resistance, and interpretable models that connect molecular state to therapeutic decision-making.

He earned his PhD in Biological Engineering at MIT, followed by a postdoctoral appointment at MIT, after training in Mechanical Engineering at NTUA. His work also explores basic mechanisms of cellular state transitions, regulatory drivers, liquid-biopsy biomarkers, and open-source computational biology.

  • Post-doc @ MIT
  • PhD, MIT Biological Engineering
  • Integrated MSc, NTUA Mechanical Engineering
  • Google Scholar
  • ORCID
  • GitHub
  • nmeimetis@mail.ntua.gr

Polychronis Dellis

Laboratory Manager

Polychronis supports BioSysLab's laboratory operations and research infrastructure. He has academic experience as a Scientific Associate / Assistant Professor at TEI of Athens and is currently affiliated with the School of Pedagogical and Technological Education.

  • PhD, Imperial College London
  • Integrated MSc, NTUA Mechanical Engineering
  • Google Scholar
  • ORCID
  • pdellis@mail.ntua.gr
Alumni Former BioSysLab roles and student research contributions
  • Asier Antoranz PhD student
  • Jan Rozanc Research staff / postdoctoral alumnus
  • Theodore Sakellaropoulos PhD student
  • Dimitris Messinis Research staff / postdoctoral alumnus
  • Dimitrios Tzeranis Postdoctoral researcher
  • Michael Neidlin Postdoctoral researcher
  • Louiza Gkouma MS/Diploma student
  • Nafsika Chala MS/Diploma student
  • Danae Zareifi PhD student
  • Christos Fotis PhD student
  • Savvina Gkouma MS/Diploma student
  • Theocharis Iordanis MS/Diploma student
  • Smaragda Dimitrakopoulou MS/Diploma student
  • Melina Tourni MS/Diploma student
  • Antonion Korcari MS/Diploma student
  • Thomas Gkekas MS/Diploma student
  • Nagia Kokkori MS/Diploma student
  • Odysseas Chaliotis MS/Diploma student
  • Panagiotis Terzopoulos MS/Diploma student
  • Antonis Sardis MS/Diploma student
  • Konstantinos Athanasopoulos MS/Diploma student
  • Giorgos Alevizos MS/Diploma student
  • Ioannis N. Melas PhD student
  • Maria Chrysopoulou MS/Diploma student
  • Konstantinos Ntagiantas MS/Diploma student
  • George Kanakaris PhD student
  • Orfeas Aidonopoulos MSc student
  • Ilona Binenbaum MSc student
  • Alexander Polesiouk Diploma thesis student
  • Marina Botonaki Diploma thesis student
  • Terry Tounta Diploma thesis student
  • Maria Michalopoulou Diploma thesis student

Publications

Selected publications

  • FlowTransOP: Distributional Translation of Omics Signatures via Constrained Deep Flow Matching.

    Meimetis, Magliacane, Hoang, Lauffenburger. bioRxiv, 2026.

  • Secretome and Pathway Analysis of Stress Induced Disc Degeneration In Vitro.

    Kanelis, Nuesch, Snuggs, Le Maitre, Alexopoulos. JOR Spine, 2026.

  • Protein kinase D drives the secretion of invasion mediators in triple-negative breast cancer cell lines.

    Gali et al. iScience, 2024.

  • Inference of drug off-target effects on cellular signaling using interactome-based deep learning.

    Meimetis, Lauffenburger, Nilsson. iScience, 2024.

  • Conserved transcriptomic signatures and protein markers in cellular senescence models.

    Skea et al. Research Square preprint, 2023.

  • AutoTransOP: translating omics signatures without orthologue requirements using deep learning.

    Meimetis et al. npj Systems Biology and Applications, 2024.

  • Predicting single cell genotypes from single cell expression profiles in AML using deep learning.

    Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies, 2023.

  • A network-based computational and experimental framework for repurposing compounds toward the treatment of non-alcoholic fatty liver disease.

    Zareifi, Chaliotis, Chala, Meimetis et al. iScience, 2022.

Courses

Teaching

Teaching connects computation, biological engineering, biomedical technology, and design for health applications.

7th semester

Introduction to Biological Engineering

Also available in English for Erasmus students.

8th semester

Biomedical Systems Design / Biodesign

Also available in English for Erasmus students.

9th semester

Biomechanics / Biomedical Technology

Also available in English for Erasmus students.

Vacancies

Open positions

Open calls and informal inquiries will be posted here.

We welcome prospective students or collaborators with a strong fit in systems biology, computational biology, proteomics, or biomedical engineering to contact the lab with a concise research interest note and CV.

Contact

Find BioSysLab

BioSysLab is located at the National Technical University of Athens, Zografou campus.

Office

Department of Mechanical Engineering
Building E, Room 320
National Technical University of Athens
Heroon Polytechniou 9
15780 Zografou, Greece

Tel: +30 210 7721666

Email: leo@mail.ntua.gr

Laboratory

Department of Mechanical Engineering
Building M
Biomedical Systems Laboratory
National Technical University of Athens
Heroon Polytechniou 9
15780 Zografou, Greece

Tel: +30 210 7721516

National Technical University of Athens

BioSysLab GitHub