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Hello I'm Mogan Gim who is currently a Assistant Professor in Hankuk University of Foreign Studies, Department of Biomedical Engineering (BME). I earned my Ph.D. in Computer Science from Korea University under the guidance of Professor Kang, who served as my principal investigator. During my Ph.D program under Professor Kang's supervision, I took part in various collaborative projects including SK pucore's SMARTUS development project and Sony AI's Gastronomy Project.
My title for my doctoral dissertation is Deep Learning Architectures using Set-Oriented Data Representations . As the title says, my research interests revolve around solving real-world problems using set-oriented data representations. I primarily tackle such problems by devising a deep learning-based approach that addresses their domain-specific aspects. I also focus on developing novel deep learning architectures that best utilizes those aspects for not only enhancing their task performance but also model explainability.
During my Ph.D program, I have engaged in several applied data science projects of diverse domains including Food Informatics, Drug Discovery, Material Science and so on. I enjoy learning not only the advancements of cutting-edge deep learning methodologies but also unexplored fields of knowledge. Though I recieved my Bachelor's Degree in Computer Science, I have seldom restrained myself from being intrigued in other fields of science such as organic chemistry, molecular biology, culinary studies, food nutrition as on. I believe it is fascinating to infuse such knowledge in developing AI-driven systems that can contribute to society. These academic characteristics are the key ingredients in my previous publications and current research proejcts.
Currently, my central research interest is Digital Health, a multi-dicsiplinary applied data science domain that spans Bioinformatics, Cheminformatics and Food Informatics. My utlimate goal is to pursue my research towards promoting social health through development of a AI-driven Drug Discovery Pipeleine and Precision Nutrition System.
[CV] [Email] [Scholar] [Github] [LinkedIn] [ORCID] [Office Location (Room 513)]
Mogan Gim*, Jaewoo Kang, Donghyeon Park**, Minji Jeon**, "ArcDFI: Attention regularization guided by CYP450 interactions for predicting drug-food interactions", PLOS Computational Biology, vol. 21, https://doi.org/10.1371/journal.pcbi.1013055)
Junseok Choe*, Hajung Kim*, Yan Ting Chok, Mogan Gim**, Jaewoo Kang**, "Retrosynthetic crosstalk between single-step reaction and multi-step planning", Journal of Cheminformatics, vol. 17, https://doi.org/10.1186/s13321-025-01088-z)
Seungheun Baek*, Soyon Park*, Yan Ting Chok, Mogan Gim**, Jaewoo Kang**, "GPO-VAE: Modeling Explainable Gene Perturbation Responses utilizing GRN-Aligned Parameter Optimization", ISMB-ECCB 2025, Jul 20--24, Liverpool, UK (Full Paper Accepted, Oral Presentation, Bioinformatics, vol. 41, https://doi.org/10.1093/bioinformatics/btaf256)
Hajung Kim*, Mogan Gim*, Seungheun Baek, Soyon Park, Sunkyu Kim**, Jaewoo Kang**, "BADGER: biologically-aware interpretable differential gene expression ranking model", Bioinformatics Advances, vol. 5, https://doi.org/10.1093/bioadv/vbaf029
Seungheun Baek*, Soyon Park*, Yan Ting Chok, Junhyun Lee, Jueon Park, Mogan Gim**, Jaewoo Kang**, "Cradle-VAE: Enhancing Single-Cell Gene Perturbation Modeling with Counterfactual Reasoning-based Artifact Disentanglement", AAAI 2025, Feb 25--Mar 4, Philadelphia, USA (Full Paper Accepted, Poster Presentation), https://doi.org/10.1609/aaai.v39i15.33695
Mogan Gim*, Jueon Park*, Soyon Park, Sanghoon Lee, Seungheun Baek, Junhyun Lee, Ngoc-Quang Nguyen and Jaewoo Kang. "MolPLA: A Molecular Pretraining Framework for Learning Cores, R-Groups and their Linker Joints", ISMB 2024, July 12--16, 2024, Montreal, Canada (Full Paper Accepted, Oral Presentation), Bioinformatics, vol. 40, https://doi.org/10.1093/bioinformatics/btae256
Mogan Gim, Junseok Choi, Seungheun Baek, Jueon Park, Chaeeun Lee, Minjae Ju, Sumin Lee and Jaewoo Kang. "ArkDTA: Attention Regularization guided by non-Covalent Interactions for Explainable Drug-Target Binding Affinity Prediction", ISMB/ECCB 2023, July 23--27, 2023, Lyon, France, (Full Paper Accepted, Oral Presentation), Bioinformatics, vol. 39, https://doi.org/10.1093/bioinformatics/btad207
Mogan Gim*, Donghee Choi*, Kana Maruyama, Jihun Choi, Hajung Kim, Donghyeon Park and Jaewoo Kang. "RecipeMind: Guiding Ingredient Choices from Food Pairing to Recipe Completion using Cascaded Set Transformer", CIKM '22: Proceedings of the 31st ACM International Conference on Information and Knowledge Management, October 17--21, 2022, Atlanta, GA, USA, https://doi.org/10.1145/3511808.3557092 (Full Paper Accepted, Oral Presentation)
Research Area
Research Area
Projects
Projects
2025년 산학연 CollaboR&D [2025, ongoing]
Funded by 중소기업기술정보진흥원
자율학습 및 RAG 기반 기업 맞춤형 화학물질 특화 sLLM 시스템 개발
Phase 1 Project
2025.05.01~2025.12.31 (15,000,000 won)
Sony Research [2020 ~ 2024]
Collaborative Work with Sony AI Gastronomy Project
CookingSense: A Culinary Knowledgebase with Multidisciplinary Assertions (paper)
KitchenScale: Learning to predict ingredient quantities from recipe contexts (paper, github)
RecipeMind: Guiding Ingredient Choices from Food Pairing to Recipe Completion using Cascaded Set Transformer (paper, github)
RecipeBowl: A Cooking Recommend for Ingredients and Recipes Using Set Transformer (paper, github)
SK pucore [2018~ 2021]
Collaborative Work with SK pucore's SMARTUS Development Project (as Lead Resarcher/Developer)
Improved the SMARTUS System with Enhanced Prediction Model and Recomendation Algorithm
Developed and Deployed a Server-based System fo Urethane Recipe Formulation (SMARTUS)
Developed a Deep Learning Mdoel for Property Prediction of Polyurethane Products
Developed a Recommendation Algorithm for Polyurethane Recipe Formulations
SK Nexilis [2020~ 2021]
Collaborative Work with SK Nexilis' Development Project (as Developer)
Miscellaneous
Miscellaneous
Patents
METHOD AND APPARATUS FOR PREDICTING BINDING AFFINITY BETWEEN COMPOUND AND PROTEIN WITH ENHANCED ACCURACY THROUGH INTEGRATION OF THREE-DIMENSIONAL LEVEL INFORMATION (10-2024-0186338), https://doi.org/10.8080/1020240186338
METHOD AND APPARATUS FOR BINDING AFFINITY PREDICTION BASED ON NON-COVALENT INTERACTION (10-2023-0049561), https://doi.org/10.8080/1020230049561
METHOD AND SERVER FOR FOOD INGREDIENT PAIRING PREDICTION USING SIAMESE NEURAL NETWORK (10-2019-0158385), https://doi.org/10.8080/1020230049561
Competitions
[2022] Preterm Vaginal Microbiome Challenge, DREAM Challenge, 5th Place
[2020] Preterm Birth Prediction: Transcriptomics, DREAM Challenge, 8th Place
[2018] NCI-CPTAC Multi-omics Enabled Sample Mislabeling Correction Challenge, PrecisionFDA
Paper Review
[2026] BMC Bioinformatics, (IF: 3.169)
[2025] CIKM 2025
[2025] Journal of the American Nutrition Association (IF: 2.6)
[2024] BMC Bioinformatics, (IF: 3.169)
[2024] Information Processing and Management, (IF: 6.222)
Talk
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