Fereydoon T.

Postdoctoral Researcher & Scientific Project Coordinator

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Heidelberg, Germany

Experience

Feb 2021 - Sep 2025
4 years 8 months
Heidelberg, Germany

Postdoctoral Researcher & Scientific Project Coordinator

Institute for Molecular Systems Engineering, Heidelberg University

  • Managed and coordinated a research group of 6 scientists, aligning computational and experimental pipelines across multiple labs
  • Developed high-performance Python frameworks for biophysical simulations, achieving >50% runtime reduction compared to MATLAB baselines
  • Integrated machine learning algorithms to classify and predict cell migration behaviors, improving model accuracy by ~25%
  • Streamlined reporting workflows using automated data extraction and visualization, cutting manual documentation time by 40%
  • Published in Advanced Functional Materials (2023), Advanced Healthcare Materials (2024), and Bioactive Materials (accepted 2026)
Jul 2020 - Jan 2021
7 months
Heidelberg, Germany

Postdoctoral Researcher

Center for Molecular Biology (ZMBH), Heidelberg University

  • Designed a web interface for rapid SARS-CoV-2 diagnostics based on LAMP testing
  • Integrated imaging outputs and backend logic into a scalable prototype system
Feb 2015 - Nov 2019
4 years 10 months
Heidelberg, Germany

Doctoral Researcher

German Cancer Research Center (dkfz.)

  • Developed and applied custom algorithms and simulations to analyze chromatin dynamics from terabytes of SPIM-FCS data
  • Modeled anomalous diffusion and particle motion in viscoelastic media, contributing to a better understanding of nuclear architecture
Dec 2013 - Nov 2014
1 year
Tehran, Iran, Islamic Republic of

Junior Project Manager

Ircast

  • Oversaw industrial projects, including detailed data reporting and stakeholder updates
  • Applied C++ to simulate, validate, and optimize process performance
Mar 2012 - Jan 2013
11 months
Brussels, Belgium

Research Assistant

Université libre de Bruxelles

  • Developed high-quality, robust numerical programs (C++) and implemented a complete data analysis pipeline in Python for post-processing and validating experimental results
  • Conducted sensitivity and uncertainty analysis relevant to predictive simulations

Summary

Computational scientist with a PhD in Physics and 10+ years of experience managing and executing complex, data-intensive research projects across biophysics, material science, and applied AI. Proven ability to plan, align, and deliver multi-stakeholder scientific programs from concept to publication. Combines hands-on expertise in Python-based modeling, machine learning, and numerical optimization with a strong record of cross-functional coordination, reproducible pipelines, and quantitative reporting. Passionate about translating research into scalable and impactful AI technologies.

Skills

  • Python, R, C/c++
  • Matlab, Sql
  • Regression, Hypothesis Testing
  • Statistical Time-series Analysis
  • Machine Learning
  • Causal Inference
  • Model Training Pipelines
  • Ai/ml Explainability
  • Ai/ml Frameworks
  • Familiarity Prompt Evaluation
  • Reproducible Research Workflows
  • Pytorch, Tensorflow, Scipy
  • Pandas, Numpy, Scikit-learn, Git, Linux
  • Strategic Alignment: Definition And Refinement Of Research Scopes, Objectives, And Milestones In Multi-team Environments For >10 Cross-disciplinary Projects
  • Goal Tracking: Establishment Of Progress Metrics, Timelines, And Review Cycles To Ensure Measurable Outcomes
  • Cross-team Integration: Coordination Between Algorithm Developers, Engineers, And Researchers For Cohesive Project Delivery Across 4 International Teams
  • Algorithmic Development: Designed And Deployed >15 Analytical And Simulation Algorithms (Python, Numpy, Pytorch, Scipy) For Data Modeling
  • Ai/ml Understanding: Solid Grasp Of Machine Learning Pipelines, Data Preprocessing, And Model Evaluation Principles For Large-scale Biological Datasets
  • Tech Translation: Ability To Bridge Research-level Prototypes With Production-oriented Engineering Goals
  • Planning & Execution: Design Of Roadmaps, Deliverables, And Quality Checkpoints For Multi-phase Projects
  • Stakeholder Communication: Effective Liaison Between Technical And Non-technical Stakeholders To Ensure Clarity And Alignment
  • Agile Collaboration: Familiar With Iterative Research Processes And The Integration Of Continuous Feedback Loops
  • Documentation & Reporting: Authored And Coauthored >10 Publications And >20 Internal Reports Bridging Computation And Applied Research
  • Mentorship: Supervised 4 Msc Students And Co-trained 12 Researchers In Computational Methods And Research Management
  • Scientific Outreach: Regular Presenter At Interdisciplinary Conferences And Stakeholder Review Meetings

Languages

Persian
Native
English
Advanced
German
Intermediate
Italian
Intermediate
French
Elementary

Education

Oct 2015 - Jun 2019

Heidelberg University

Doctor of Natural Science in Physics, Dr. rer. nat. · Physics · Heidelberg, Germany

Oct 2010 - Jun 2012
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M.sc. in Mathematical Modeling in Engineering (Mathmods) · Mathematical Modeling in Engineering (Mathmods) · Gdańsk, Poland

Oct 2004 - Jun 2009

Sharif University of Technology

B.sc. in Mathematics · Mathematics · Tehran, Iran, Islamic Republic of

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