CV

Summary

Below is a summary of my CV, to see the full CV, click here

Education

M.S. in Language Technology, Carnegie Mellon University, 2019
B.Comp. in Computer Science, National University of Singapore, 2013

Work experience

2020-Present: Senior Data Scientist (Mechanism Design)
- Sembly Inc.
- Designing and developing the mechanism for the product that we are building from the game theoretic and statsitical point of view
- Giving consultation for the NLP-focused machine learning team
2019-2020: Senior Data Scientist
- Traveloka Technology Pte Ltd
- Managing a chatbot product with an impact of $1.8mio annually, responsible for both directing the technical aspects as well as communication with the business stakeholders
- Worked on an internal dataset creation, to further support machine learning environment in the company
2015-2017: Research Assistant
- Singapore University of Technology and Design
- Exploring semantic representations using graphical models for structured prediction
- Supervising undergraduate student researchers in research projects
- Worked with Professor Lu Wei on graphical models
2013-2015: Research Engineer
- Knorex Pte. Ltd.
- Designed and performed experiments for text classification on news articles
- Implemented and extended existing method on concept extraction for key terms extraction
- Redesigned and optimized a system for efficient distributed computing
- Developed and maintained in-house tools for natural language processing

Publications

Weak Semi-Markov CRFs for Noun Phrase Chunking in Informal Text

Muis, A. O., & Lu, W. (2016). Weak Semi-Markov CRFs for Noun Phrase Chunking in Informal Text. In Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (pp. 714–719). Stroudsburg, PA, USA: Association for Computational Linguistics. https://aclanthology.org/N16-1085/

Learning to Recognize Discontiguous Entities

Muis, A. O., & Lu, W. (2016). Learning to Recognize Discontiguous Entities. In Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing (pp. 75–84). Stroudsburg, PA, USA: Association for Computational Linguistics. https://doi.org/10.18653/v1/D16-1008

Efficient Dependency-guided Named Entity Recognition

Jie, Z., Muis, A. O., & Lu, W. (2017). Efficient Dependency-guided Named Entity Recognition. In The 31st AAAI Conference on Artificial Intelligence (AAAI’17). Retrieved from http://aaai.org/ocs/index.php/AAAI/AAAI17/paper/view/14741

MalwareTextDB : A Database for Annotated Malware Articles

Lim, S. K., Muis, A. O., Lu, W., & Ong, C. H. (2017). MalwareTextDB : A Database for Annotated Malware Articles. In ACL 2017.

Labeling Gaps Between Words : Recognizing Overlapping Mentions with Mention Separators

Muis, A. O., & Lu, W. (2017). Labeling Gaps Between Words : Recognizing Overlapping Mentions with Mention Separators. In EMNLP. Copenhagen. https://doi.org/10.18653/v1/D17-1276

Low-resource Cross-lingual Event Type Detection in Documents via Distant Supervision with Minimal Effort

Muis, A. O., Otani, N., Vyas, N., Xu, R., Yang, Y., Mitamura, T., & Hovy, E. (2018). Low-resource Cross-lingual Event Type Detection in Documents via Distant Supervision with Minimal Effort. In COLING (pp. 70–82). Retrieved from https://aclanthology.org/C18-1007/

Aldrian Obaja Muis

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