Giulia Baldini

Machine Learning Engineer

HealthSage AI

  August 2024 - Today

Development and deployment of AI algorithms for medical applications. In particular, creation of algorithms for extracting structured data from unstructured medical reports. This was achieved with a variety of strategies: LLM fine-tuning, prompt engineering, retrieval augmented generation, agents.

Skills: Python, Docker, PyTorch, Hugging Face, LLM fine tuning, Retrieval Augmented Generation, ElasticSearch, CI/CD, Weights and Biases, algorithm design, data engineering.

Research Assistant

Department of Computer Science, Heinrich Heine University Düsseldorf, Düsseldorf, Germany

  May 2024 - July 2024

Implementation of various clustering algorithms using Python and C++.

Skills: Python, C++, Gurobi Optimizer, scikit-learn.

Research Assistant

Institute for Artificial Intelligence in Medicine (IKIM), University Hospital of Essen, Essen, Germany

  May 2021 - Apr 2024

Research and implementation of machine learning techniques in medical imaging and clinical data analysis. This includes segmentation of histopathological whole slide images, image-based survival analysis, automation of data extraction using FHIR, Named Entity Recognition for deidentification, CT scan segmentation and extraction of biomarkers for body composition analysis.

Skills: Python, Docker, PyTorch, TensorFlow, Hugging Face, scikit-learn, FHIR, CI/CD, Kubernetes, algorithm design and engineering, computer vision.

Student Assistant

Group "Algorithms for Geometric Data Analysis", University of Cologne, Cologne, Germany

  Apr 2020 - Apr 2021

Research on a joint project with the University Hospital of Cologne. Development of methods to predict missing MRI scans of the human brain. Methods used: Clustering, modification of the cGAN Pix2Pix.

Skills: C++, Python, Boost, Pix2Pix, algorithm design and engineering, computer vision.

Student Assistant

Max Planck Institute for Research on Collective Goods, Bonn, Germany

  Dec 2018 - Sep 2020

Implementation and testing of various oTree apps and attendance to some of the conducted experiments. Investigation and research of some country level indicators. Creation and testing of two R CRAN packages for "Higher Order Risk Preferences" (utilityFunctionTools ) and "Minimum Mean Squared Error Treatment Assignment Method Treatment Groups" (minMSE ).

Skills: oTree, Django, R, SurveyCTO, Qualtrics, knowledge about server administration, knowledge about behavioural Science and experimental economy.

Freelance OTree Programmer

  May 2020 - Jun 2020

Development of a study about regret aversion.

Freelance OTree Programmer

  Jan 2020 - Feb 2020

Development of an "effort" study and implementation and monitoring on Heroku and MTurk.

Student Advisor

Bozen-Bolzano, Italy.

  Jan 2018 - Jul 2018

Inform potential future students about the courses at the Free University of Bozen-Bolzano.

Skills: Public Speaking, Language Skills (German and English).

Summer Internship

Technische Universität Dortmund, Dortmund, Germany

  Jul 2017 - Sept 2017

Contribution to the implementation and execution of three user studies about usability and decision support systems.

Skills: Python, MySQL, knowledge about user studies and usability, knowledge about recommender systems.

Doctorate in Medical Sciences (PhD)

Institute for Artificial Intelligence in Medicine, University Hospital Essen, Essen, Germany

  Oct 2022 - Feb 2025

Final Grade: Summa cum Laude

Doctoral Thesis: From Unstructured Data to Knowledge: A Cycle of Data for Quality Improvement in a Large Academic Hospital.

M.Sc. Computer Science

University of Bonn, Bonn, Germany

  Oct 2018 - Dec 2020

Final Grade: 1.0 (excellent)

Master's Thesis: Mapping Brain Clusterings to Reproduce Missing MRI Scans , winner of the BIG award for outstanding theses.

B.Sc. Computer Science and Computer Engineering

Free University of Bozen-Bolzano, Bozen-Bolzano, Italy

  Sep 2015 - Jul 2018

Final Grade: 110/110 cum laude

Bachelor's Thesis: Capturing Semantic Similarity in Querying User Reviews.