Where biology meets data

Research

We turn biological understanding into functional technologies, working where life sciences meet data and computation.

Research Focus

We are inspired by how life assembles itself, from molecules to living systems, and we work to understand the mechanisms underneath and turn that understanding into functional technologies, in health and across the life sciences.

Our research spans three connected themes: biomolecules (mapping and measuring the molecules that drive biology), biosystems (engineering cells, tissues, and biological processes), and biomachines (the interface between biology and technology). Across all three, we work at the convergence with data and AI, the layer that turns biological insight into real-world decisions.

Focus Areas

  • Precision Diagnostics

    Quantitative, molecular-level approaches to earlier, sharper detection, where much of health's near-term value is being created.

  • Biomarker Discovery

    Identifying biological signals that make diagnosis and treatment more precise and personal.

  • BioIntelligence

    Responsible, AI-powered analytics across our research, turning biological insight into real-world decisions.

The Science Behind BioQXs

Our affiliated research team: a community of scientists across leading institutions who support BioQXs on a voluntary basis, bringing depth across diagnostics, biomarkers, and applied AI.

  • Yavuz Oguz Uca, PhD

    Cardiovascular molecular imaging · nanomedicine

    Founder, BioQXs · PhD, Charité – Universitätsmedizin Berlin

    A molecular imaging scientist working on bionanomaterials for early detection of cardiovascular disease and cancer. Distinguished publications in top journals including Nature Communications, Nucleic Acids Research, and Investigative Radiology, with expertise spanning medical device regulations and digital health.

  • Zeynep Akdeniz, PhD

    Computational evolutionary biology · genomics

    Founder, Data Dreams · PhD, Uppsala University

    A computational evolutionary biologist studying how organisms adapt and evolve through genomics, code, and data. Founder of Data Dreams and a BioQXs partner, developing tools for genomic analysis of microbial adaptation.

  • Ayşe Candayan, PhD

    Rare disease genomics · neuromuscular disorders

    Postdoctoral Researcher, VIB–UAntwerp Center for Molecular Neurology

    Combines genome sequencing and functional biology to identify rare disease genes and their mechanisms. Marie Skłodowska-Curie Fellow and member of the IRDiRC Digital Twins Task Force.

  • Ayça Fulya Üstüntanır Dede, PhD

    Molecular biology · recombinant protein biotechnology

    Postdoctoral Researcher, Algatech Center, Czech Academy of Sciences

    A molecular biologist bridging protein biotechnology, metabolic pathways, and drug discovery, with expertise in recombinant protein production and advanced microscopy. Works on novel biochemical pathways relevant to new drug candidates.

  • Neslihan Koyuncu, PhD

    Applied AI in healthcare · computational modeling

    PhD Candidate, Istanbul Technical University

    A PhD researcher in physics engineering focused on AI applications in healthcare, combining machine learning, computational modeling, and biomedical research. Works on translating AI methodologies into real-world medical applications.

  • Alperen Acarı, PhD Candidate

    Extracellular vesicles · targeted immunotherapy

    PhD Candidate, Heidelberg University

    Finalizing a PhD on engineered extracellular vesicles for immunotherapy, trained as a molecular biologist and chemist at Koç University. Brings hands-on experience in tumor-selective agents and therapeutic EV design.

  • Melis Serdar, PhD Candidate

    Cardiovascular bioengineering · regenerative medicine

    PhD Candidate, Koç University

    A biomedical engineer working across cardiovascular biology, tissue engineering, and gene delivery to build platforms for regenerative medicine. Combines experimental and computational approaches, including deep-learning analysis of cardiovascular flow.