Irene Cannistraci
Lecturer at Department of Computer Science (D-INFK), ETH Zürich
Zurich, Zurich, Switzerland
Summary
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Senior🎓
Top SchoolIrene Cannistraci is a lecturer and postdoctoral researcher at ETH Zürich with eight years of experience at the intersection of deep learning and applied software engineering. Trained with a PhD from Sapienza University of Rome and a research visit to Helmholtz Munich, she focuses on representation learning, interpretability, fairness, and language models applied to healthcare. She co-teaches a large Master’s course on Machine Learning for Health Care and designs hands-on curricula that bridge research and clinical applications. Prior to academia she built scalable microservices and RESTful APIs in industry, giving her a pragmatic edge in deploying ML systems. Known for mentoring students across multiple universities and outreach coding initiatives, she brings both teaching finesse and production-ready engineering to research-driven projects.
8 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Sapienza Università di Roma
English, Italian
Github Skills (11)
youtube-dl1
volume-rendering1
computer-vision1
audio1
ffmpeg1
deep-learning1
youtube1
arxiv1
camera1
radiance1
neural-network1
Programming languages (3)
Github contributions (5)
icannistraci/mining-evolving-topics
Feb 2020 - Mar 2022
Contributions:7 commits, 5 pushes in 2 years 1 month
icannistraci/cervical-cancer-classification
Feb 2020 - Mar 2022
Contributions:6 commits, 4 pushes, 1 branch in 2 years 1 month
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