Scholar
Jakub Macina
Google Scholar ID: fJJTntwAAAAJ
ETH Zurich, AI Center
Citations & Impact
Citations
332
H-index
10
i10-index
10
Publications
14
Co-authors
19
list available
Publications
Resume (English only)
Academic Achievements
- Received the ETH AI Center Fellowship (acceptance rate <4%).
- Secured research grants valued over 100,000 CHF.
- Delivered talks at various international conferences.
- Published papers in prestigious venues including EMNLP, ACL, RecSys, and NeurIPS.
- Launched multiple successful projects.
- Served as Head TA for 'Artificial Intelligence in Education' and taught 'Large Language Models' at ETH Zurich.
Research Experience
- Experience in software engineering, machine learning research, education, and e-commerce.
- Published papers in top-tier conferences like EMNLP, ACL, RecSys, and NeurIPS.
- Worked as a machine learning engineer at one of the fastest-growing startups in Europe, responsible for building large-scale ML training and inference pipelines from scratch.
- Taught courses on machine learning, large language models, and NLP at ETH Zurich.
- Successfully managed a team of six data scientists and advised over 12 Master's and Bachelor's theses at ETH Zurich.
- Led projects and defined product requirements that were successfully launched at scale, co-founded a startup in the health-tech space.
- Designed and implemented scalable training and inference pipelines capable of handling thousands of requests per second using Kubernetes in Google Cloud Platform.
- Contributed to open-source projects such as Discourse and developed several personal projects.
Education
- PhD at ETH Zurich, specializing in machine learning (ML) and natural language processing (NLP) to enhance human-AI collaboration. Advised by Prof. Mrinmaya Sachan and Prof. Manu Kapur.
Background
- AI & ML Researcher, Engineer, Educator, Entrepreneur and Speaker. Focused on Human-centered AI for Learning and Reasoning.
Miscellany
- Interests include aligning LLMs with pedagogy using reinforcement learning and exploring the potential of generative AI in education.
