CV

Education

PhD in Informatics (AI/ML/CV) 2022

• industry-oriented doctoral fellowship (CIFRE) delivered by Sorbonne Université
• prepared at LLTech SAS and Bioimage Analysis Unit of Institut Pasteur de Paris - best of both worlds : exciting start-up and world-renowned research institute
• Thesis subject : Cancer Detection in Full Field Optical Coherence Tomography Images (See manuscript and presentation.)

MSc in Image Analysis 2017

• M2 Traitement Avancé des Images et Vision, Université Pierre et Marie Curie + Télécom ParisTech
• Scholarship of Institut Français de Bucarest granted on academic criteria
• Cursus in French
  • image processing
  • computer vision and deep learning
  • introduction to medical imaging
• Practical Project : Compressed Sensing based denoising, a Java Plugin for Icy Bioimaging Platform (See the report and presentation.)
• Diploma Project : Detection of cancerous tissue in Full-Field Optical Coherence Tomography images (See the report and presentation.)

BEng in Computer Science 2016

• University of Craiova, Faculty of Automation, Computers and Electronics - Craiova, Romania
• Merit scholarship of The Romanian Government for academic excellence
• Cursus in English
  • got introduced to plenty of programming languages: C/C++, Java, Python, Assembly, Prolog, Matlab, Weka
  • but also hardware aspects: computer architecutre, VHDL
  • and of course to algorithmics
• Diploma Project : Python application for simulation of analog electronic circuits with GUI (See manuscript.)

Baccalaureate in Mathematics & Informatics 2012

• Frații Buzești National College - Craiova, Romania
• one of the oldest (est. 1882) and most prestigious High Schools in Romania

Work experience

My work experience outside of the PhD resumes to two 6-month research internships in image analysis, some teaching assistant work on mentoring students in learning Python or implementing more complex practical projects and also participating in the sample/image aquisition stage of clinical studies.

2021 Sainte-Anne Hospital, GHU Paris microscopist

• biopsy imaging for clinical study in extemporaneous setting

2021 Sorbonne Sciences University, Paris teaching assistant

• mentoring master’s students for practical work

2020 Institut Pasteur de Tunis, Tunis teaching assistant

• “Introduction to Python” intensive course for biologists
• PHiND Access European Commission Project

2017 Institut Pasteur de Paris, Paris research intern

• Bioimage Analysis Unit in collaboration with LLTech SAS
• end of Master’s internship
• implementation of a Convolutional Neural Network for detecting cancerous areas in skin biopsies imaged with a Full Field OCT microscope developed by LLTech
• Python

2015 Institut supérieur d’électronique de Paris (ISEP), Paris research intern

• Signal, Image an Telecommunication Laboratory (LISITE)
• Erasmus+ internship
• development of natural images reconstruction algorithm based on Compressed Sensing
• MATLAB

2015 EWI Institute, Wien, Austria intern

• web design and promotion
• WordPress, Adobe Illustrator

Skills

• Machine Learning, Deep Learning, Convolutional Neural Networks, Classification
• different learning paradigms : fully or weakly supervised, constrastive, unsupervised
• Biomedical Imaging, Image Processing, Computer Vision
• Compressed Sensing, Source Separation, Fourier Analysis
• Data Analysis and Visualization
• Object Oriented Programming, Algorithmics
• Scientific Writing

Tools

• Python :
  • Keras, TensorFlow, Scikits, NumPy, SciPy, OpenCV, Pandas
  • Matplotlib, Seaborn
  • Jupyter Notebooks, Neptune.ai
• Linux, Git, SLURM, Singularity, Latex
• Java, C/C++, MATLAB

Publications

(non exhaustive list)

Basal Cell Carcinoma (BCC) detection in Full-Field Optical Coherence Tomography (FFOCT) images using Convolutional Neural Networks (CNN)

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.

Leveraging Global Diagnosis For Tumor Localization In Dynamic Cell Imaging Of Breast Cancer Tissue Towards Fast Biopsying

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.

Blind Source Separation in Dynamic Cell Imaging using NonNegative Matrix Factorization applied to Breast Cancer Biopsies

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 very passionate about languages and linguisticts, especially discovering facts from anthropological history through etymology. This makes me excited to learn NLP in the future.

Trilingual (full proficiency):

• Romanian - mother tongue
• English - grew up with it, The Sims then undubbed movies, got a CAE certificate to prove it
• French - living in Paris for 5+ years

“kind-of” lingual (notions) :

• Spanish - ‘telenovelas’ were really popular when I was young
• Italian - a free ride for Romanian speakers
• German - learnt in kindergarten, can sing ‘O Tannenbaum’

Interests

• arts music (blues, rock, jazz - avid Spotify curator), theater, stand-up comedy
• humanities culture, ethics, linguistics
• outdoors hiking, travel

Causes I stand for : social equity, gender equality, LGBTQ+ rights

If you made it this far maybe you want to download my resume or get in touch.