Titipat Achakulvisut
Lecturer at Mahidol University
Bangkok, Thailand
Summary
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Senior🎓
Top SchoolTitipat Achakulvisut is a lecturer and computational researcher with 11 years of experience applying NLP and machine learning to Science of Science problems, from peer-review and funding analysis to recommendation systems for conferences. Trained in bioengineering and biomedical engineering (Northwestern) with a strong electrical engineering foundation, he completed a PhD-style research trajectory at the Konrad Kording lab where he built practical tools for SfN, CCN, COSYNE and Neuromatch. He is an active open-source contributor—maintaining pubmed_parser and improving MEDLINE/PubMed XML parsing, MeSH and DOI extraction—which underpins many downstream bibliometric and text-mining workflows. Based in Bangkok and affiliated with Mahidol University, he blends academic rigor with hands-on engineering, shipping reproducible research code on GitHub. Less obvious: his background spans fuzzy logic, evolutionary optimization and computer vision, giving him a breadth of algorithmic approaches beyond standard NLP. He balances research and infrastructure work, making him effective at turning scientific questions into deployable, data-driven systems.
11 years of coding experience
1 year of employment as a software developer
Bachelor's degree, Electrical and Electronics Engineering, 3.87, Bachelor's degree, Electrical and Electronics Engineering, 3.87 at Chulalongkorn MahawitthayalaiMaster of Science (MS), Bioengineering and Biomedical Engineering, 3.95, Master of Science (MS), Bioengineering and Biomedical Engineering, 3.95 at Northwestern University
Thai, English
Stackoverflow
5,369reputation
892kreached
133answers
36questions
jupyter-notebook
top-5%
fonts
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pyspark
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apache-spark
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scikit-learn
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python
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Github Skills (22)
parserator10
parser10
python10
lxml10
xml-parsing10
pandas9
fonts9
apache-spark9
matrix9
pyspark9
scikit-learn9
jupyter-notebook9
nlp9
rt9
html6
Programming languages (9)
Github contributions (5)
titipata/pubmed_parser
Jul 2017 - Jul 2022
:clipboard: A Python Parser for PubMed Open-Access XML Subset and MEDLINE XML Dataset
Role in this project:
Back-end Developer
Back-end DeveloperContributions:8 releases, 10 reviews, 112 commits in 5 years
Contributions summary:Titipat primarily contributed to the `pubmed_parser` project by implementing and improving the MEDLINE and PubMed XML parsing functionalities. They fixed bugs related to imports, updated parsers to include features such as MeSH terms, publication types, and chemical lists, and refactored the code to improve efficiency. The user also made significant changes to the web parser, adding support for book articles and DOI parsing, along with enhancing the author/affiliation parsing capabilities.
medline-xmlpythonopen-accessparserclipboard
titipata/detecting-scientific-claim
Jun 2018 - Jun 2021
Extracting scientific claims from biomedical literature / abstract (powered by AllenNLP)
Contributions:118 commits, 9 PRs, 164 pushes in 3 years
nlpliteratureclaimsscientificnatural-language-processing
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