Software Architect @SiemensHealthineers | Former Deep Learning Research Asistant @ai-med(LMU Klinikum)
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Siemens Healthineers
Data Scientist
June 22, 2026 – Present
few-shot-segmentation
October 31, 2018 – October 14, 2019
PyTorch implementation of 'Squeeze and Excite' Guided Few Shot Segmentation of Volumetric Scans
View Projectnn-common-modules
October 28, 2018 – February 2, 2021
Pytorch Implementations of Common modules, blocks and losses for CNNs specifically for segmentation models
View Projectnn-additional-losses
October 28, 2018 – February 12, 2019
A collection of losses not part of pytorch standard library particularly useful for segmentation task
View Projectsqueeze_and_excitation
October 8, 2018 – June 23, 2020
PyTorch Implementation of 2D and 3D 'squeeze and excitation' blocks for Fully Convolutional Neural Networks
View Projectlmu-klinikum-demo
May 29, 2018 – January 12, 2019
The website to showcase the research projects of AI Med Lab
View ProjectquickNAT_pytorch
May 24, 2018 – January 7, 2021
PyTorch Implementation of QuickNAT and Bayesian QuickNAT, a fast brain MRI segmentation framework with segmentation Quality control using structure-wise uncertainty
View Projectrelaynet_pytorch
March 6, 2018 – July 10, 2018
Pytorch Implementation of retinal OCT Layer Segmentation (with trained models)
View ProjectJS18_ProjectA_Group2
February 17, 2018 – April 14, 2018
In this project we created the framework that translates natural language to data visualization creation. This project encompasses loading and querying data and creating simple graphs.
View ProjectCultural Fit Analysis
The candidate's project portfolio is heavily focused on deep learning and computer vision, specifically medical imaging. While this demonstrates strong technical depth in a niche, the diversity of projects outside this specific domain is limited. The candidate's experience level is listed as 0, which contradicts the current full-time Data Scientist role. This discrepancy makes it difficult to fully assess cultural fit based on a broad range of experiences.
Soft Skills & Operational Fit
The provided data does not contain sufficient information to assess soft skills or operational fit. The psychometric test score is 0, indicating no data.