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Katharine Jarmul
Privacy & Security in Machine Learning and Data Science, Author of Practical Data Privacy
Katharine Jarmul is a prominent figure in the field of data science, machine learning, and privacy. She is known for her expertise in privacy and security in machine learning and data science.4
Professional Background
Katharine has been associated with Thoughtworks, where she held a position as a Principal Data Scientist.5 During her time at Thoughtworks, she led discussions on privacy and ethics in machine learning and AI, working with both the company and its clients.5
Areas of Expertise
Katharine specializes in:
- Privacy and security in machine learning and data science
- Data governance
- Practical data privacy
Contributions and Activities
Katharine is actively involved in various aspects of the data science community:
- Educational Initiatives: She helps organize the local PyData Berlin meetup group, providing educational, fun, and inventive meetings and workshops for data and machine learning enthusiasts.1
- Public Speaking: Katharine has presented on topics such as federated data governance at conferences like CPDP (Computers, Privacy & Data Protection).2
- Teaching: She has taught practical data privacy using Jupyter notebooks, including building differential privacy mechanisms.3
- Authorship: Katharine is the author of "Practical Data Privacy".4
Recent Activities
As of 2024, Katharine has been involved in several notable activities:
- Presenting on federated data governance at CPDP in May 2024.2
- Potentially working on a new book project, as hinted in a January 2024 post.6
- Exploring privacy and ethics in AI and machine learning.5
Katharine Jarmul continues to be an influential voice in the data science community, particularly in the areas of privacy, security, and ethical considerations in machine learning and AI.