PhD Data Scientist / Data Analyst / Data Engineer

PhD Deep Learning + Biomedical Engineering
CEO of Agalith in Switzerland with:

-10 years working Experience
-IT Project Lead
-Programming Skills in R/Python/Java/SQL/PHP/Databases
-Data Scientist
-Software Engineering

• Computer Vision
• Finanzanalyse
• Java (allg.)
• Maschinelles Lernen
• Mongodb
• Mysql
• Natural Language Processing
• Postgresql
• Python
• R (Programmiersprache)

I am a PhD candidate in Biomedical Engineering at the University of Basel, working at the intersection of artificial intelligence, clinical decision support, software engineering, and enterprise system integration. With a solid foundation in quantitative sciences, data-driven modeling, and scalable software architecture, I bring a rare blend of scientific rigor, technical depth, and practical implementation experience — across healthcare, life sciences, public sector transformation, and industrial applications.

My academic and professional journey spans across applied machine learning, software development, and IT project leadership. I have built and led numerous AI-driven projects with real-world clinical impact, including predictive models for postoperative outcomes, longitudinal BMI & diabetes prediction tools, and multi-agent systems for clinical workflow automation — all validated through peer-reviewed publications, multicenter datasets, and interactive web platforms. My research includes advanced work in tabular data imputation (TabINR), segmentation-aware CT modeling (SwinUNETR), and multimodal deep learning using imaging, structured data, and language models (LLMs). I design and implement full-stack ML pipelines with a strong emphasis on reproducibility, interpretability, and clinical utility.

From a technical standpoint, I am proficient in:

Programming & ML/AI: Python (PyTorch, MONAI, Sklearn, XGBoost, LightGBM), R (Tidyverse, Shiny), Git, Docker, MLflow, fastAPI

Software Engineering: Cloud-native microservice design (Azure, AWS), CI/CD pipelines, Infrastructure-as-Code, REST/SOAP APIs, containerized deployments

Data Engineering: Advanced use of R, SQL, and Pandas for data transformation, integration, and analytics, including work with structured EMR data, lab systems, PACS/RIS, and ERP datasets

AI/ML specializations: Implicit neural representations (INRs), transformer-based architectures, SHAP explainability, ensemble modeling, neural calibration, survival analysis, and synthetic data generation

Enterprise Systems: Integration projects with Microsoft Dynamics 365 (Finance & Operations / Business Central), PLM (Teamcenter), PIM (Perfion), SAP (MM/PP/SD), and Azure Functions for pricing automation

I have significant experience leading cross-functional teams and acting as the interface between scientific research, IT architecture, and business strategy. As a partner at Agalith AG, a Swiss boutique consultancy, I have successfully delivered and co-led transformation projects in healthcare, pharmaceuticals, and industrial sectors. This includes the orchestration of AI-based automation solutions (e.g., invoice classification, pricing microservices), data harmonization pipelines, and ERP-to-SharePoint document offloading systems — always with a strong emphasis on business value, compliance, and auditability.

In the healthcare domain, I have deep knowledge of:
-Clinical Interoperability Standards: HL7 v2/v3, FHIR, IHE Profiles (XDS, PIX/PDQ, MHD)
-Integration Platforms: Mirth, Orchestra, Kafka, custom adapters
-Healthcare-Specific Software Engineering: Secure backend integration, ISDS concepts, scalable data pipelines for EMR/LIS/PACS/RIS environments

I have also built substantial experience in the public sector and regulatory environments, including multi-year ERP/PLM/PIM integration projects, clinical AI platforms subject to medical device governance, and digital transformation initiatives aligned with Swiss federal frameworks. I am familiar with frameworks like HERMES, ITIL, SAFe, and IPMA standards and apply their principles

Whether leading R&D projects, driving IT architecture, or co-developing strategy with clients and clinical stakeholders — I combine technical excellence with strong organizational awareness and a track record of translating complexity into value.

Technical Expertise

Programming Languages:

Python (PyTorch, Scikit-Learn, NumPy, Pandas)

R (Shiny, Tidyverse, RMarkdown) – used extensively during my PhD and projects at Roche

C#, Java, PHP, Matlab – including backend and legacy systems

Machine Learning & AI:

Supervised and unsupervised learning, ensemble methods, transformers, INRs, GANs

Custom loss functions, calibration, survival models, explainability (SHAP, LIME)

Applications in computer vision, tabular data, and multimodal fusion

Data Engineering & Databases:

MySQL, NoSQL (MongoDB), structured EMR data, financial and clinical records

Advanced data wrangling and feature engineering using SQL, R, and Python

DevOps & Cloud:

Containerization with Docker, orchestration via CLI and GitHub Actions

Microservices, Infrastructure-as-Code, CI/CD, REST/SOAP API design

Tools & Versioning:

Git, Jenkins, Azure DevOps, MLflow, JIRA, Confluence

Domain-Specific Skills

Data Analysis & Statistics:

Predictive modeling, longitudinal trend analysis, hypothesis testing, clustering

Advanced modeling in healthcare, finance, and biomedical data

Data Preparation & ETL:

Pipeline automation, handling missingness, dimensionality reduction

Finance & Business Analytics:

ROI modeling, financial analysis, pricing simulations, and forecasting

Security & Cryptography:

Familiarity with key principles of Kryptographie, auditability, and secure data transfer

ERP / Business Integration:

Integration of Microsoft Dynamics 365 (Finance & Operations, Business Central)

SAP (MM, SD, PP), Perfion PIM, SharePoint document automation

Project Management & Architecture:

Agile (Scrum, SAFe), stakeholder alignment, architectural documentation

Practical knowledge of HERMES, IPMA, and ITIL methodologies (used though not certified)

Led multi-stakeholder projects across hospitals, public sector, pharma, and industry

Research & Clinical AI

My PhD focuses on AI in colorectal and pancreatic surgery, with peer-reviewed publications and clinical collaborations. I have led or co-led the design and validation of:

A multimodal SwinUNETR-based model for pancreatic cancer resectability

An INR-based imputation and classification model for clinical tabular data (TabINR)

A deep learning tool for BMI and Diabetes remission prediction in bariatric patients

AI-based ERP automation microservices and document offloading systems in industry

Leadership & Collaboration

Partner at Agalith AG (CH) – responsible for delivery of AI, ERP, and integration projects

Collaborations with KSW, Clarunis, KSBL, Roche, SKAN AG, and the Swiss public sector

Co-led large-scale transformation projects in hospital IT, industrial automation, and digital health

Regular interaction with clinicians, engineers, business stakeholders, and public institutions