Curriculum Vitae

Curriculum Vitae

Postdoctoral researcher in systems medicine and mathematical biology, based in Dresden. Background in biomedical and mechanical engineering.

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Education

  • 2021 – 2025

    PhD, Mathematics

    Technische Universität Dresden · CIDS & ZIH

    Awarded magna cum laude. Thesis: Modeling Cell Plasticity at the Invasive Edge to Control Glioblastoma Recurrence. Supervised by Prof. Axel Voigt and Prof. Haralampos Hatzikirou, in the IMC group of Prof. Andreas Deutsch. Defended July 2025.

  • 2015 – 2018

    MSc, Biomedical Engineering (Biomechanics)

    Tabriz University of Technology, Iran

    Thesis: simulation of drug delivery in liver cancer and normal tissue, accounting for its microvasculature.

  • 2009 – 2015

    BSc, Mechanical Engineering

    Shahrood University of Technology · Heat and fluid engineering

    Thesis: simulation of two-dimensional viscous fingering in porous media.

Experience

  • Nov 2025 – present

    Postdoctoral Researcher in Bioinformatics

    Department of Internal Medicine III · Universitätsklinikum Carl Gustav Carus Dresden / TU Dresden · Full-time

    • Integrate large-scale UK Biobank multi-omics data — proteomics, metabolomics, genomics — with clinical variables
    • Develop predictive models for disease progression across obesity, prediabetes, type 2 diabetes and MASLD
    • Combine machine learning with mechanistic modelling for interpretable predictions
    • Investigate molecular signatures and pathways underlying metabolic and liver disease
    • Analyse risk factors for major complications — cardiovascular events, nephropathy, infections, cirrhosis
    • Developed an application to digitise the group's in-house biobank data and ease its analysis
    • Collaborate with clinicians and interdisciplinary teams to support translational research
    • Maintain reproducible, ethical and FAIR analysis pipelines
  • Oct 2024 – Sep 2025

    Research Assistant, DataMedAssist group

    Fakultät Informatik / Mathematik, HTW Dresden · Part-time

    • Developed an AI framework to predict tumour spheroid status from radiomic features
    • Predicted the point at which spheroids escape treatment control
    • Built image-processing pipelines robust to strongly non-linear spheroid behaviour
  • Mar 2021 – Jul 2025

    Doctoral Researcher

    Technische Universität Dresden · CIDS & ZIH

    • Developed and refined mathematical models of glioma–macrophage interaction
    • Ran virtual patient simulations as in-silico clinical trials
    • Performed uncertainty and global sensitivity analysis on the proposed models
    • Explored Bayesian approaches combining mechanistic models with machine learning
    • Analysed multimodal radio-omics data to predict time to relapse
  • Mar 2018 – Mar 2021

    Independent researcher, translator and reviewer

    Self-employed

    • Built expertise in data science, statistical analysis and machine learning
    • Published research on drug delivery and hyperthermia cancer treatment
  • Sep 2016 – Mar 2018

    Research Assistant, Advanced Biofluids Laboratory

    Sahand University of Technology

    • Developed mathematical models of drug distribution in solid tumours
  • Jun 2017 – Sep 2017

    Research Collaborator, Biological Engineering Laboratory

    University of Tehran

    • Patient-specific modelling of cerebral aneurysm haemodynamics

Skills & affiliations

Affiliations

DZD
German Center for Diabetes Research
IRTG 3019
MEDIS — international research training group, Dresden & Zürich
CIDS
Center for Interdisciplinary Digital Sciences, TU Dresden

Technical skills

Data science & machine learning

  • Python
  • R
  • scikit-learn
  • TensorFlow
  • NumPy / SciPy / pandas
  • Deep learning
  • Survival analysis
  • Bayesian inference
  • Biostatistics
  • Big data

Biomedical domain

  • Proteomics & omics analysis
  • Bioinformatics
  • Systems biology
  • Radiomics & image analysis
  • UK Biobank
  • Agent-based modelling
  • Uncertainty quantification

AI engineering & tooling

  • LLM APIs (OpenAI, Anthropic)
  • Model Context Protocol
  • Agent orchestration
  • Retrieval & summarisation
  • Git
  • CI / GitHub Actions
  • Linux / HPC
  • SQL
  • Node / Next.js
  • Research software engineering

Simulation & engineering

  • MATLAB
  • COMSOL Multiphysics
  • ANSYS
  • Maple
  • C++

Languages

Persian
Native
English
Full professional proficiency · IELTS 7.0 (C1)
German
Professional working proficiency · Goethe-Zertifikat B2 (2024)

Talks & posters

  • 2026 · Talk

    IRTG 3019: MEDIS retreat

    Universitätsspital Zürich & ETH Zürich

    Glucose levels and infection risk below the clinical diabetes range.

  • Jul 2024 · Talk

    ECMTB 2024

    University of Castilla-La Mancha, Toledo

  • Jun 2024 · Talk

    Workshop on Computational Models in Biology & Medicine

    CRTD, Dresden

  • Mar 2024 · Invited

    Institute of Medical Informatics & Biometry

    Universitätsklinikum Carl Gustav Carus, Dresden

  • Apr 2023 · Poster

    Max-Planck-Institut für Evolutionsbiologie

    Plön

  • Nov 2022 · Poster

    e:Med Meeting on Systems Medicine

    Heidelberg

Service & recognition

Peer review

I review for:

  • Nature Communications Medicine
  • npj Systems Biology and Applications
  • Scientific Reports
  • Metabolism: Clinical and Experimental
  • Frontiers in Oncology
  • Frontiers in Medicine
  • PLOS One
  • PLOS Complex Systems
  • PLOS Soft Matter
  • Computer Methods and Programs in Biomedicine
  • Computers in Biology and Medicine
  • Physics of Fluids

Memberships

ESMTB
European Society of Mathematical Biology
SMB
Society of Mathematical Biology

Honours & awards

  • PhD scholarship, ERACoSysMed / BMBF, Germany
  • Doctorate awarded magna cum laude, TU Dresden, 2025
  • Honoured multidisciplinary master’s thesis
  • Best paper award, 3rd Iranian Conference on Heat and Mass Transfer (ICHMT), 2017
  • Top 4% of more than 350,000 candidates, national university entrance examination
  • Full scholarship throughout undergraduate studies

Teaching

Supervisor, seminar in mathematical biology — Mathematics of innovative cancer therapies, TU Dresden, summer semester 2023.

Get in touch

Have data and a question that needs answering?

I work with researchers, clinicians, health-tech teams and bioinformaticians at the interface of biology, data science and personalised medicine — from a one-hour sanity check on a study design to a full modelling collaboration.

Details

Email
pejman.shojaee@tu-dresden.de
ORCID
0000-0003-3298-3315
Based in
Dresden, Germany
Languages
English (C1) · German (B2) · Persian (native)