cv
Basics
Name | Jacqueline Isabel Bereska |
Label | AI and Medical Imaging Researcher |
j.i.bereska [at] amsterdamumc [dot] nl | |
Url | https://jacquelinebereska.github.io/ |
Summary | PhD Candidate at the Amsterdam University Medical Centers, specializing in AI and Medical Imaging. Seeking to use problem-solving and coding skills to improve long-term outcome of medical patients. |
Work
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2022.01 - Present PhD Candidate AI in Radiology
Amsterdam University Medical Centers
Implementing segmentation and prediction models for pancreatic ductal adenocarcinoma and colorectal cancer.
- Serving as a visiting researcher at Verona Pancreas Institute, Oslo University Hospital, and New York University Langone Health for the validation of prediction and segmentation models.
- Supervising and guiding 16 Master's students.
- Closely collaborating with radiologists and surgeons on development and implementation of clinically relevant AI tools.
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2021.09 - 2021.11 Teaching Assistant
Utrecht University
Supervising and grading students during lab sessions for the lecture 'Machine Learning for Human Vision and Language'.
- Teaching students how to analyze data in R.
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2020.12 - 2022.01 Research Assistant Neuropsychology
Utrecht University
Exploring and understanding data collected from an ongoing research project in neuropsychology.
- Working with serious VR games used to train important cognitive functions of pediatric patients with traumatic brain injuries.
- Visualizing, interpreting, and presenting the collected data to colleagues in Neuropsychology using state-of-the-art data science tools.
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2020.02 - 2021.08 Student Ambassador
Utrecht University
Representing the university at recruiting and introduction events.
- Answering candidates' questions and guiding them through the application process.
- Student commissioner on a selection committee tasked with hiring a new assistant professor.
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2018.10 - 2019.04 Product Developer
Insiders Technologies
Developing and maintaining chatbots in close relationship with individual customers.
- Working on back-end intent classification and entity extraction using Python.
- Developing a front-end chatbot-configuration interface using HTML, CSS, JavaScript and the vue.js framework.
Education
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2022.01 - Present Amsterdam, Netherlands
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2019.09 - 2021.07 Utrecht, Netherlands
MSc
Utrecht University
Artificial Intelligence
- Machine Learning for Human Vision and Language
- Multi-Agent Learning
- Natural Language Processing
- Neurocognition of Memory and Attention
- Social and Affective Neuroscience
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2018.07 - 2018.09 Taipei, Taiwan
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2017.07 - 2017.09 Taipei, Taiwan
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2016.09 - 2019.07 Heidelberg, Germany
BSc
University of Heidelberg
Computer Science
- Machine Learning
- Artificial Intelligence
- Project Management
- Linear Algebra
- Analysis
- Mathematical Logic
- Microeconomics
- Game Theory
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2012.09 - 2015.07 Ettlingen, Germany
High School
Wilhelm-Roepke Wirtschaftsgymnasium
Abitur
- Mathematics
- Financial Management
- Economics
- Business
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2011.09 - 2012.07 Taverny, France
High School
Lycée Jacques Prévert
Seconde
- French
- Théâtre et Expression Dramatique
- Anglais
- Allemand
- Science de la Vie et de la Terre
- Physique-Chimie
Awards
- 2015
Prized by German Mathematical Society
German Mathematical Society
Recognized for outstanding performance in mathematics during Abitur.
- 2015.07
Certificate for outstanding overall grade point achievement in academic year
Wilhelm-Roepke Wirtschaftsgymnasium
Recognized for outstanding overall performance during Abitur.
Publications
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2024.02 Artificial intelligence for assessment of vascular involvement and tumor resectability on CT in patients with pancreatic cancer
European Radiology Experimental
Development of a model using CT images to accurately assess vascular involvement and tumor resectability in patients with pancreatic ductal adenocarcinoma.
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2023.19 Radiomics preoperative-Fistula Risk Score (RAD-FRS) for pancreatoduodenectomy: development and external validation
BJS Open
Development and external validation of a pre-operative radiomics-based fistula risk score for pancreatoduodenectomy, which demonstrated similar predictive performance compared to existing intra-operative fistula risk scores.
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2023.10 Improving the Reliability of Medical Diagnostic Models through Rule-Based Decision Deferral
Proceedings of the Inaugural 2023 Summer Symposium Series 2023
Proposed a rule-based decision deferral framework to enhance the reliability of medical diagnostic models by identifying and deferring uncertain predictions to human experts.
Skills
Medical Imaging | |
Segmentation Modelling | |
Prediction Modelling | |
Transformer Models | |
Semi-Supervised Learning | |
UNet models |
Programming | |
Python | |
PyTorch | |
C/C++ | |
JavaScript | |
Confluence/Jira | |
Git | |
Bash | |
Linux | |
LaTeX |
Machine Learning | |
Deep Learning | |
Computer Vision | |
Natural Language Processing |
Languages
German | |
Native |
English | |
Native |
Dutch | |
Conversational |
Mandarin | |
Conversational |
French | |
Conversational |