Extended CV
Professional Experience
🧠 Research Engineer — Clinical AI & Liver Oncology
HeKA (Université Paris Cité · Inria · Inserm), Paris Santé Campus
2024 – Present
- Design and analysis of large-scale clinical datasets for liver cancer patient stratification
- Development of multimodal pipelines combining CT, MRI, diagnostic, and longitudinal data (EDS AP-HP)
- Use of VAE-based generative models for robust representation learning and data augmentation
- Close collaboration with radiologists and public-health clinicians
🩺 R&D Engineer — Medical Imaging & Decision Support
LLTech SAS (now CellTivity), Paris
2018 – 2023
- Developed interpretable AI models for breast cancer diagnosis on a novel histopathology-like imaging modality (Full-Field OCT)
- Designed mixed-supervision CNN systems for diagnosis and biomarker discovery
- Owned the full prototype lifecycle: data curation, modeling, validation, and reporting
- Contributed to a CE-marked medical device, one granted patent, and multiple peer-reviewed publications
- Acted as first data hire, reporting to academic, clinical, and business stakeholders
🔬 Research Intern — Biomedical Image Analysis
Institut Pasteur de Paris · Bioimage Analysis Unit, Paris
2017
- End-of-MSc research internship in collaboration with LLTech SAS
- Implemented a Convolutional Neural Network for detecting cancerous regions in skin biopsies imaged with Full-Field OCT
- Python-based prototyping and experimental evaluation
📡 Research Intern — Signal & Image Processing (Erasmus+)
Institut supérieur d’électronique de Paris (ISEP) · LISITE Laboratory, Paris
2015
- Developed natural image reconstruction algorithms based on Compressed Sensing
- Experimental validation and implementation in MATLAB
🌐 Intern — Web Design & Digital Communication
EWI Institute, Vienna, Austria
2015
- Web design and digital promotion for institutional content
- Tools: WordPress, Adobe Illustrator
Teaching & Clinical Collaboration
🏥 Microscopist — Clinical Image Aquisition
Sainte-Anne Hospital (GHU Paris)
2021
- Image aquisition of brain tissue biopsies with LLTech device for clinical study in extemporaneous settings (glioblastoma surgery)
🎓 Teaching Assistant — Applied Machine Learning
Sorbonne Université, Paris
2021
- Mentoring master’s students for practical projects related to image analysis and ML
🙋 Teaching Assistant — Python for Biologists
Institut Pasteur de Tunis, Tunis
2020
- Intensive “Introduction to Python” course for biologists
- PHiND Access — European Commission project
Education
Sorbonne Université
2018 – 2022
- Industry-oriented doctoral fellowship (CIFRE)
- Prepared at LLTech (now CellTivity) and the Bioimage Analysis Unit, Institut Pasteur de Paris
- Thesis:
Cancer Detection in Full-Field Optical Coherence Tomography Images
(manuscript · presentation) - Supervised by Prof. Jean-Christophe Olivo-Marin
🔬 MSc in Image Analysis
Université Pierre et Marie Curie (Paris VI) · Télécom Paris
2016 – 2017
- Advanced image processing, computer vision, deep learning, and medical imaging
- Scholarship of the Institut Français de Bucarest (academic excellence)
- Practical project: Compressed-Sensing-Based Denoising — Java Plugin for Icy
- Master’s thesis: Detection of Cancerous Tissue in FF-OCT Images
💻 BEng in Computer Science
University of Craiova, Romania
2012 – 2016
- Graduated with merit scholarship (academic excellence)
- Strong foundations in algorithms, software engineering, and computer architecture
- Diploma project: Python Application for Analog Electronic Circuit Simulation with GUI
Frații Buzești National College, Craiova (RO)
2012
- Prestigious public high school (est. 1882)
Technical Expertise
🤖 Machine Learning & AI
- Deep learning (CNNs, VAEs, contrastive & weakly supervised learning)
- Classification, representation learning, interpretability
🧠 Medical Imaging
- CT, MRI, OCT, H&E
- Image processing, computer vision, biomedical data pipelines
🛠 Data & Engineering
- Python, PyTorch, TensorFlow, Scikit-learn
- Pandas, NumPy, SciPy, OpenCV,
- Jupyter, Unix, Git, Slurm, Singularity
Publications
(non-exhaustive list)
D. Mandache, E. Dalimier, J. R. Durkin, C. Boccara, J. -C. Olivo-Marin and V. Meas-Yedid, "Basal cell carcinoma detection in full field OCT images using convolutional neural networks," 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018), 2018, pp. 784-787.
D. Mandache, E. B. à. l. Guillaume, M. . -C. Mathieu, J. . -C. Olivo-Marin and V. Meas-Yedid, "Leveraging Global Diagnosis For Tumor Localization In Dynamic Cell Imaging Of Breast Cancer Tissue Towards Fast Biopsying," 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 2021, pp. 320-323.
D. Mandache, E. B. á. l. Guillaume, J. . -C. Olivo-Marin and V. Meas-Yedid, "Blind Source Separation In Dynamic Cell Imaging Using Non-Negative Matrix Factorization Applied To Breast Cancer Biopsies," 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 2021, pp. 1605-1608.
Languages
I am passionate about languages and linguistics, particularly discovering anthropological history through etymology.
- Romanian — native
- English — fluent (CAE certified)
- French — fluent
- Spanish / Italian / German — basic notions
Interests & Values
- 🎶 Arts & culture: music (jazz, blues, rock), theatre, stand-up comedy
- 📚 Humanities: ethics, linguistics
- 🏔 Outdoors: hiking, swimming, travel
Causes: social equity, gender equality, LGBTQ+ rights
If you are interested in collaborations or roles in clinical AI, medical imaging, or decision-support systems:
👉 Download my CV (PDF)
👉 Connect on LinkedIn
