Exploring Causality and Community with Suzana Ilić - #419
AI News#AI Community📝 Blog|Analyzed: Dec 29, 2025 07:58•
Published: Oct 16, 2020 08:00
•1 min read
•Practical AIAnalysis
This article from Practical AI features an interview with Suzana Ilić, a computational linguist at Causaly and founder of Machine Learning Tokyo (MLT). The discussion covers her work at Causaly, focusing on causal modeling, her role as a product manager and development team leader, and her approach to UI design. A significant portion of the interview explores MLT, including its rapid growth, its evolution from a personal project, and its impact on the broader ML/AI community. The article also highlights her experiences publishing papers and answering audience questions.
Key Takeaways
- •The interview highlights the intersection of computational linguistics and causal modeling.
- •It showcases the growth and impact of the Machine Learning Tokyo community.
- •It provides insights into the challenges and rewards of leading a development team and managing a product.
Reference / Citation
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