プロフィール詳細

プロジェクトを作成

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Klaudia K.に依頼

Poland

PhD GenAI expert with 7+ years of experience in pharma industry

プロフィール概要

Senior Data Scientist specializing in Natural Language Processing, with a strong focus on generative AI technologies. I hold a PhD in Artificial Intelligence, with a dissertation dedicated to neural models for clinical text processing. I have a proven track record of publishing scientific papers and presenting at international conferences. Currently, I serve as an AI Product Owner for initiatives leveraging generative AI, where I lead cross-functional teams to translate business needs into impactful, AI-driven solutions. I combine a solid theoretical background with hands-on experience in building and deploying NLP systems. I work efficiently with complex requirements, turning them into well-scoped, production-ready solutions. I have delivered internal trainings, spoken at conferences, and contributed to company-wide initiatives. I stay closely aligned with emerging trends in AI and enjoy working in fast-moving environments that require focus, adaptability, and a practical mindset.

専門分野

• ★ Natural Language Processing
• ★ Artificial Intelligence
• ★ Deep Learning
• ☆ Data Analysis
• ☆ Data Processing
• ☆ Python

サービス

• Research
• Consulting
• Data & AI
• Product Development

Research Feasibility Study, Fact Checking, Scientific and Technical Research

Consulting Scientific and Technical Consulting

Data & AI Predictive Modeling, Statistical Analysis, Image Processing, Algorithm Design-ML, Data Visualization, Big Data Analytics, Text Mining & Analytics, Data Mining, Data Cleaning, Data Processing, Data Insights

Product Development Concept Development, Prototyping

職務経験

Data Scientist

Roche

7月 2018 - 現在

学歴

PhD (Computing and Telecommunications)

Poznan University of Technology

10月 2020 - 6月 2025

認定資格

• 認定資格の詳細は未入力です。

出版物

JOURNAL ARTICLE

Klaudia Kantor, Mikołaj Morzy (2024). Machine learning and natural language processing in clinical trial eligibility criteria parsing: a scoping review . Drug Discovery Today.

Kevin Wu and Eric Wu and Michael DAndrea and Nandini Chitale and Melody Lim and Marek Dabrowski and Klaudia Kantor and Hanoor Rangi and Ruishan Liu and Marius Garmhausen and Navdeep Pal and Chris Harbron and Shemra Rizzo and Ryan Copping and James Zou(2022). Machine Learning Prediction of Clinical Trial Operational Efficiency . The AAPS Journal. 24. (3). Springer Science and Business Media {LLC}

CONFERENCE POSTER

Klaudia Kantor, Mikolaj Morzy (2024). Fine-Tuned Transformers and Large Language Models for Entity Recognition in Complex Eligibility Criteria for Clinical Trials . International Conference on Information Systems Development.

BOOK CHAPTER

Klaudia Kantor, Mikołaj Morzy(2022). Biomedical Semantic Textual Similarity: Evaluation of Sentence Representations Enhanced with Principal Component Reduction and Word Frequency Weighting . 393--403Springer International Publishing