# sanaz dt sanaz dt is a remote worker on Himalayas, Student Research Assistant at Fraunhofer Institute for Computer Graphics Research, based in Germany. Source: https://himalayas.app/@sanazdt ```text I build AI-driven medical data pipelines and mobile learning products for healthcare applications. ``` | Detail | Value | | --- | --- | | Availability | Looking for a job | | Location | Germany | | Authorized to work in | Germany | | Salary expectations | 55k+ EUR | | Job categories | Medical Engineer, Machine Learning Engineer, Data Scientist, Mobile Application Developer, Software Developer, Research Assistant | | Skills | Python, Pandas, NumPy, Scipy, Java, C++, Matlab, Deep Learning, CNN, RNN, LSTM, Natural Language Processing, RAG, PyTorch, Clustering, scikit learn, Data Cleaning, data preprocessing, Feature Engineering, Exploratory Data Analysis, React Native, Expo, Supabase, Git, Docker, Linux, Ubuntu, BASH, PowerShell, 3D Slicer, Medical Image Segmentation, MRI, EEG, Cross Validation, JavaScript, User Testing, UI UX | | Portfolio | https://github.com/Sin7667 | | LinkedIn | https://linkedin.com/in/sanaz-dt-sd97 | | GitHub | https://github.com/Sin7667 | ## What I'm looking for ```text I'm looking to apply machine learning, medical data analysis, and software development to healthcare and medical engineering products with meaningful clinical impact. ``` ## About ```text I'm building AI-driven medical engineering solutions, from Parkinson’s subtyping pipelines at Fraunhofer IGD to deep-learning systems for clinical EEG seizure detection. At Fraunhofer Institute for Computer Graphics Research, I design and implement analysis workflows for PPMI data, including preprocessing, feature engineering, unsupervised clustering, and manual 3D brain segmentation of clinical MRI data. For an AI in Medicine competition, I built a two-branch CNN-LSTM and MLP seizure-detection system, improving the score from 0.43 to 0.61 and reaching an F1 score of 0.67. I've also developed medical web applications in Java and an EdTech mobile learning platform with React Native, Expo, and Supabase, combining feature delivery with user testing and medical engineering content creation. ``` ## Experience ### Student Research Assistant (current) Fraunhofer Institute for Computer Graphics Research. Jan 2025 - Present ```text Design and implement the analysis pipeline for Parkinson's subtyping on PPMI data, including preprocessing, feature engineering, and unsupervised clustering. Adapt published analysis methods to study data requirements and perform manual 3D brain segmentation on clinical MRI data using 3D Slicer. ``` Skills: Python, Pandas, NumPy, Scipy, Clustering, Feature-Engineering, 3D-Slicer, MRI, data-preprocessing ### Clinical Internship Universitätsklinikum. Mar 2025 - Apr 2025 ```text Clinical internship focusing on intensive care and anesthesia, as well as oral, maxillofacial, and facial surgery. ``` ### Working Student Studeez GmbH. Jan 2024 - Jan 2025 ```text Development and maintenance of a mobile learning platform using React Native, Expo, and Supabase. Implemented features and created medical engineering learning content, and conducted user testing to identify and resolve UI/UX issues. ``` Skills: React-Native, Expo, Supabase, Mobile-Development, UI-UX, User-Testing ### Working Student Institute for Medical Informatics (IMI). Jan 2021 - Jan 2023 ```text Development of the Open Source Registry System for Rare Diseases (OSSE) in Java, including bug fixing and new feature implementation. Created MDR-compliant medical data entry forms for rare disease registries. ``` Skills: Java, OSSE, MDR, Medical-Data, Bug-fixing, Feature-Implementation ## Education ### Goethe University Frankfurt am Main & TU Darmstadt Master of Science, Medical Engineering. 2026 - Present Activities and societies: AI in Medicine competition: built a two-branch deep learning system (per-channel CNN-LSTM on log-spectrograms + MLP on hand-crafted connectivity features) for seizure detection and onset localization; raised competition score from 0.43 to 0.61; applied patient-disjoint cross-validation; final F1 0.67, mean onset error 32.4 s. ```text Pursuing a Master of Science in Medical Engineering with a focus on epileptic seizure detection from clinical EEG using deep learning. ``` ### Goethe University Frankfurt am Main & TU Darmstadt Bachelor of Science, Medical Engineering. 2020 - 2026. Grade: 2.01 ```text Completed a Bachelor of Science in Medical Engineering with a thesis on biomechanical modelling to enhance machine learning for squat movement quality. ``` ### Studienkolleg Hamburg Feststellungsprüfung & DSD Language Diploma, General Studies. 2019 - 2020. Grade: 1.7 ```text Completed the Feststellungsprüfung and DSD Language Diploma, passing the assessment test (T-Course) with a grade of 1.7. ``` ### High School Diploma (Equivalent to German Abitur) High School Diploma, Mathematics. 2015 - 2015. Grade: 1.2 ```text Earned a high school diploma with a focus on mathematics, assessed by Uni-assist as equivalent to German Abitur with a GPA of 1.2. ``` ## Tech stack - React Native - Expo - NumPy - Pandas - JavaScript - Python - Java - C++ - PowerShell - MATLAB - PyTorch - scikit-learn - Ubuntu - Linux - Git - Docker - SciPy - Supabase - Bash To contact sanaz, message them from this profile with a Himalayas employer account: [Hire on Himalayas](https://himalayas.app/hire). ## People also viewed - [Rachana N](https://himalayas.app/@rachanan): Research Assistant, Fraunhofer IWM - [Suchanda Bhattacharyya](https://himalayas.app/@suchandabhattacharyy): Applied Scientist, Sequantrix GmbH - [Jonas Schulze](https://himalayas.app/@jonasschulze): Research Assistant, Hasso Plattner Institut für Digital Engineering gGmbH - [Andrei Goncharov](https://himalayas.app/@andreigoncharov): Medical Imaging AI Engineer, Floy GmbH - [Mika Martin Broese](https://himalayas.app/@mikamartinbroese): Student Assistant, Erason - [Hassan Elsheikh](https://himalayas.app/@hassanelsheikh): Part Time Software Engineer Intern, Lytic Lab - [Claudiu Ivan](https://himalayas.app/@claudiuivan): research assistant, Institute of Experimental and Clinical Pharmacology and Toxicology - [Abhishek Lahiri](https://himalayas.app/@abhisheklahiri): Working Student & Master's Thesis, Siemens Healthineers AG - [Grant Sutcliffe](https://himalayas.app/@grantsutcliffe): Professional Development, Self Employed - [Payam Soltanzadeh](https://himalayas.app/@payamsoltanzadeh): Co Founder, AI and Data, DoctorLine