CV
Details about my track record and previous affiliations
Basics
| Name | Jan Christian Blaise Cruz |
| Current title | PhD Natural Language Processing |
| Current affiliation | Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) |
| me@blaisecruz.com |
Work
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2023.09 - 2024.08 Lecturer
University of the Philippines - Diliman
Designs and implements course structure, materials, and examinations for undergraduate courses at the Electronics and Electrical Engineering Institute
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2021.01 - 2024.08 Lead Engineer, Speech and Natural Language Processing
Samsung Research Philippines
Leads a team of research engineers on Speech and NLP R&D for Samsung's AI Products. Heads research on multilingual and low-resource NLP.
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2019.08 - 2020.12 Researcher + Teaching Assistant
De La Salle University - Manila
Led research teams on diverse NLP topics including Question Answering Question Generation, NLI, and Fake News Detection. Thesis groups under my leadership won the department’s Most Outstanding Thesis Award for four consecutive years.
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2018.04 - 2018.08 Research Engineering Intern
Senti AI
Worked on research and development projects on low-resource conversational agents and machine learning.
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2018.01 - 2018.03 Data Analytics and Big Data Intern
RCG Global Services PH
Lead R&D on data preparation and automatic visualization for data management platforms and big data solutions.
Education
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2024.08 - Present Abu Dhabi, UAE
PhD Natural Language Processing
Mohamed bin Zayed University of Artificial Intelligence
Multilinguality and Low-resource Languages. Supervised by Dr. Alham Fikri Aji
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2015.08 - 2019.08 Manila, Philippines
BSc-MSc Computer Science
De La Salle University - Manila
Thesis: Localization of Fake News Detection via Multitask Transfer Learning (Most Outstanding Thesis Award). Supervised by Dr. Charibeth K. Cheng.
Languages
| Filipino | |
| Native speaker |
| English | |
| Fluent |
Interests
| Natural Language Processing | |
| Machine Translation | |
| Representation Learning | |
| Language Modeling | |
| Resources and Evaluation |
| Low-resource NLP | |
| Code-switching Understand and Generation | |
| Metrics for Low-resource Tasks | |
| Low-resource Modeling | |
| High-resource to Low-resource Transfer Learning |