Diana Mandache

Research Engineer @Université Paris Cité Médecine

Paris, FR
MOBILE NUMBERS
+91 *********19

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WORK HISTORY

Jan 2024 — Present

Research Engineer @Université Paris Cité Médecine

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Paris, FR

Research engineer within the HeKA team (INRIA, INSERM, Université Paris Cité) in close collaboration with AP-HP (Hospitals of Paris), contributing to the national RHU OPERANDI program.Designing and deploying imageomics pipelines to support personalized treatment strategies in digestive cancers, with a focus on improving the efficiency of targeted therapies.Key contributions include- Building and curating large-scale, multi-modal clinical imaging databases- Deploying data pipeline within the AP-HP data warehouse (EDS), operating under strict privacy, security, and governance constraints- Developing ML and deep learning models for prognosis and treatment response prediction- Integrating imaging, clinical, and follow-up data into reproducible research frameworks- Working at the interface of AI research, clinical constraints, and translational impactThis role sits at the crossroads of academic research, hospital-grade data, and real-world clinical decision-making, with direct implications for precision oncology.

EDUCATION

2008 — 2012

Fratii Buzesti National College

Baccalaureate, Mathematics and Computer Science

2018 — 2022

Sorbonne Université

Doctor of Philosophy - PhD, Informatics

2016 — 2017

Pierre and Marie Curie University

Master of Science - MS, Image Processing

2012 — 2016

Faculty of Automation, Computers and Electronics, University of Craiova, Romania

Engineer's degree, Computer Science

SKILLS

Open CvJavaBiomedical InformaticsCProgrammingImage ProcessingC++Artificial Neural NetworksComputer VisionOopKerasDeep LearningSoftware DevelopmentPythonMachine LearningMatlabVisual StudioObject-Oriented Programming (Oop)

ABOUT DIANA MANDACHE

Research Engineer with working experience in the medical device industry & public health sector. Skilled in Python & libraries for Data Analysis, Image Processing and Machine Learning. PhD in AI for Medical Imaging, MSc in Image Processing, BEng in Computer Science. Product-oriented mindset. Actively exploring advancements in the biomedical field, notably biomarker discovery through interpretable AI. Passionate about interdisciplinarity and diversity.

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