Gilchan Park
Res Staff 3 Computational, Computation and Data Driven Discovery (C3D), Computational Science Initiative
Brookhaven National Laboratory
Computational Science Initiative
Bldg. 725
P.O. Box 5000
Upton, NY 11973-5000
(631) 344-6113
gpark@bnl.gov
Gilchan Park’s primary research interests are computational semantics, and computational semantics and information extraction using natural language technologies. More specifically, he has been investigating how to improve machines’ understanding of text data by leveraging semantic relations in text. The research domains have ranged from information security and medical transcripts, and my current research focuses on information extraction from scientific literature via meaning-based models.
Expertise | Research | Education | Appointments | Publications
Expertise
- Natural Language Processing
- Ontological Semantic Processing
- Machine Learning
Research Activities
- Scientific Literature Mining for X-ray Absorption Spectroscopy (XAS)
- Synthesis path prediction
- Q&A system design for COVID-19
- Protein-Protein Interaction (PPI) inference
Education
- Ph.D., Computer & Information Technology, Purdue University, West Lafayette, IN
- M.S., Computer & Information Technology, Purdue University, West Lafayette, IN
Professional Appointments
- 2018 - present, Research Staff 3, Center for Data-Driven Discovery, Computational Science Initiative, Brookhaven National Laboratory
- 2018 - 2020, Postdoctoral Research Associate, Center for Data-Driven Discovery, Computational Science Initiative, Brookhaven National Laboratory
- 2010 - 2012, Software Engineer, Mobile Communications Division, LG Electronics
Selected Publications
- Park G, Pouchard L (2021) Advances in Scientific Literature Mining for Interpreting Materials Characterization. Machine Learning: Science and Technology. doi: 10.1088/2632-2153/abf751
- Acharya A, Agarwal R, Baker MB, Baudry J, Bhowmik D, et al. (2020) Supercomputer-Based Ensemble Docking Drug Discovery Pipeline with Application to Covid-19. Journal of Chemical Information and Modeling 60:5832–5852. doi: 10.1021/acs.jcim.0c01010
- Park G, Rayz J, Pouchard L (2020) Figure Descriptive Text Extraction using Ontological Representation. In The Thirty-Third International Flairs Conference. doi: 10.48550/arXiv.2208.06040
- Pouchard L, Juhas P, Park G, Van Dam H, Campbell SI, Stavitski E, Billinge S, Wright CJ (2020) Provenance Infrastructure for Multi-modal X-ray Experiments and Reproducible Analysis. Handbook on Big Data and Machine Learning in the Physical Sciences 307–331. doi: 10.1142/9789811204579_0015
- Park G, Pouchard L (2019) Scientific Literature Mining for Experiment Information in Materials Design. 2019 New York Scientific Data Summit (NYSDS). doi: 10.1109/nysds.2019.8909726
- Park G, Rayz J (2018) Ontological Detection of Phishing Emails. 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC). doi: 10.1109/smc.2018.00486
- Park G, Stuart LM, Taylor JM, Raskin V (2014) Comparing machine and human ability to detect phishing emails. 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC). doi: 10.1109/smc.2014.6974273
Brookhaven National Laboratory
Computational Science Initiative
Bldg. 725
P.O. Box 5000
Upton, NY 11973-5000
(631) 344-6113
gpark@bnl.gov
