PyData Cluj: Meetup #16

We are pleased to announce the 16th edition of the PyData Cluj-Napoca meetup. Due to the current situation, the PyData Cluj-Napoca meetups will be held online. The details will be provided later.

We have 2 presentations scheduled:

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"Computer Vision in Medical Imaging" by Teodora Szasz

Abstract: Medical imaging plays a great role in the medical diagnosis and treatment process. In this presentation, you will learn about medical images (such as MRI, CT, X-Rays, histology images). We will cover the state-of-the art frameworks and methods to analyze medical images as well as how deep learning is used in a medical setting. We will provide multiple examples of applications that we developed as well as describing the technologies we used behind these applications.

Bio: Teodora Szasz is a Computational Scientist specialized in Image Analysis and Deep Learning at The University of Chicago. She serves as a catalyst for solving challenging questions in the research teams that she is supporting, such as: predicting oxygen support for COVID-19 patients, detecting prostate cancer, and analysis of messages related to identity in official educational settings. She holds a Ph.D. in Computer Science from the University of Toulouse (France) and she is also a community lead for the Anita Borg Institute of Women in Technology.

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"Privacy-preserving techniques for Machine learning" by Bogdan Cebere

Abstract: In recent years, preserving privacy has become a fundamental requirement for any business. Social media, smart devices, or service providers generate vast amounts of data, and analyzing them in a privacy-preserving manner is not easy. However, how does that affect the progress of machine learning?
Lately, several privacy-preserving methods have emerged, including federated learning, secure multi-party computation, or homomorphic encryption, to name a few.
In this talk, we emphasize why these new technologies will improve the quality of machine learning results. We detail some of them, their research status, and their open-source presence, including work presented at NeurIPS 2020 PPML Workshop.

Bio: Bogdan Cebere is a software engineer at Bitdefender in Bucharest and a cryptography team member at OpenMined working on privacy preserving machine learning. He recently co authored a paper published at NeurIPS 2020 Privacy Preserving Machine Learning (PPML) Workshop.

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