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Master's Student
Korea Advanced Institute of Science and Technology (KAIST)
School of Computing
Guest Researcher
Max Planck Institute for Security and Privacy (MPI-SP)
Data Science for Humanity
#GenAI 🤖 #ProteinDesign 🧬 #AI4Science 🔬 #AI4Good 🍀
Email: bryannwijaya (at) kaist.ac.kr / bryan.wijaya (at) mpi-sp.org
My name is Bryan. I am a master's student at the School of Computing of KAIST, jointly advised by Prof. Meeyoung Cha, Prof. Tae-Kyun Kim, and Prof. Ho Min Kim. I am also a guest researcher at the Data Science for Humanity Group of MPI-SP. Previously, I obtained my BS in Electrical Engineering from KAIST in 2024 with an AI special-designated major and a minor in Chemical and Biomolecular Engineering.
My research interest encompasses various applied AI areas. Some non-exhaustive keywords are generative AI for protein design, AI for social good, data science, and computational social science. Currently, I am particularly focused on diffusion-based methods for antigen-conditioned antibody sequence and structure co-design.
Feel free to say hi and connect with me anytime!
Office Address
Korea Advanced Institute of Science and Technology (KAIST)
- Krafton SoC Bldg. (E3-5), Rm. 208
- Electronics & Information Bldg. (E3-1), Rm. 2423
291 Daehak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea
🚀 Publications
*Equal contribution
Index: IJ International Journal, DJ Domestic Journal, IC International Conference, DC Domestic Conference, WO Workshop, PR Preprint
IJ03: B. N. Wijaya, Y. Park, J. H. Jeung, and K. Lee, "Exploring the relationship between air quality and happiness in South Korea using artificial neural networks," Environ. Impact Assess. Rev. 117, 108135 (2026) — [Paper] [Code]
IJ02: L. F. Vecchietti*, B. N. Wijaya*, A. Armanuly, B. Hangeldiyev, H. Jung, S. Lee, M. Cha, and H. M. Kim, "Artificial intelligence-driven computational methods for antibody design and optimization," mAbs 17(1), 2528902 (2025) — [Paper]
DC02: B. A. Tolera*, B. N. Wijaya*, and M. R. C. Mahim, "Leveraging Synthetic Data for Data-Free Knowledge Distillation," in Proc. Korea Software Congress 2024 (eds. T. Kim et al.), pp. 692–694 (KIISE, Seoul, 2024) — [Paper] [Poster] [Presentation] [Code]
DC01: B. N. Wijaya, L. F. Vecchietti, M. Cha, and H. M. Kim, "Evaluating Antibody Structure Reconstruction with an SE(3)-Equivariant Graph Neural Network," in Proc. Korea Software Congress 2023 (eds. H. Park et al.), pp. 1681–1683 (KIISE, Seoul, 2023) — [Paper] [Poster]
DJ01: S. K. Nandanwar, S. B. Borkar, B. N. Wijaya, E. Bayaraa, L. L. A. Piad, Q. Jin, C. S. Tiara, H. J. Kim, and N. H. Tarte, "Synthesis and characterization of novel chelation-free Zn(II)-azole complexes: Evaluation of antibacterial, antioxidant, and DNA binding activity," Indian J. Chem., Sect A 59(5), pp. 589–597 (2020) — [Paper]
IJ01: S. K. Nandanwar, S. B. Borkar, B. N. Wijaya, J. H. Cho, N. H. Tarte, and H. J. Kim, "Cobalt(II) Benzazole Derivative Complexes: Synthesis, Characterization, Antibacterial and Synergistic Activity," ChemistrySelect 5(11), pp. 3471–3476 (2020) — [Paper]
🧸 Posters and Talks
*Equal contribution
The presenter(s) are underlined.
B. N. Wijaya, L. F. Vecchietti, S. Han, A. Cho, M. Cha, and C. Cha, "Unveiling the Pregnancy and Health Trends of Nurses in South Korea: Analyzing and Modeling the Korea Nurses’ Health Study."
Lightning Talk at CASA & RC Trust Summer School 2025, Ruhr-Universität Bochum (2025.06)
Poster at the MPI-SP Institute Retreat 2025 (2025.06)
B. N. Wijaya*, L. F. Vecchietti*, C. Y. Low*, W. Dong, A. Zhunis, and M. Cha, "Towards low-resource culture-aware harmful meme detection," Poster at the AI & Data for Social Good Forum, CLIO Inst. Soc. Dev. Studies, Yonsei University (2024.05).
🎓 Education
Master of Science (MS) in Computer Science, KAIST, Daejeon, Korea, 2024–2026
Advisors: Prof. Tae-Kyun Kim, Prof. Ho Min Kim, Prof. Meeyoung Cha (unofficial)
Thesis: End-to-End Design of Target-Conditioned Antibody Sequences and Structures Using Geometric Deep Learning with Matching and Diffusion Models
Bachelor of Science (BS) in Electrical Engineering, KAIST, Daejeon, Korea, 2020–2024
AI Special Designated Major, Minor in Chemical and Biomolecular Engineering (Summa Cum Laude)
📌 Selected Experience
Student Intern, UNDESA, New York City, NY, USA, 2025.06–present
Graduate Research Assistant, KAIST, Daejeon, Korea
KAIST Computer Vision and Learning Lab, 2024.09–present
Data Science Laboratory + Lab for Integrated Protein Design & Structure, 2024.02–present
Guest Researcher and Intern, Data Science for Humanity, MPI-SP, Bochum, Germany, 2024.02–present
Project Member, AI Promotion Team, Daewoong Pharmaceutical Co., Ltd., Seoul, Korea, 2022.05–2024.12
Visiting Student and Intern*, Data Science Group* + Protein Communication Group, IBS, Daejeon, Korea, 2023.07–2024.09
Undergraduate Research Assistant and Intern*, KAIST, Daejeon, Korea
Data Science Laboratory* + Lab for Integrated Protein Design & Structure, 2023.07–2024.02
Data Intelligence Lab, 2022.09–2023.06
Urban Robotics Lab, 2021.12–2022.06
Operating Systems Laboratory, 2021.06–2021.08
Project Member and Intern, Drug Discovery Center, Daewoong Pharmaceutical Co., Ltd., Seoul, Korea, 2021.05–2021.08
Abbreviations (in ABC order): IBS Institute for Basic Science, KAIST Korea Advanced Institute of Science and Technology, MPI-SP Max Planck Institute for Security and Privacy, UNDESA United Nations Department of Economic and Social Affairs
Extra: TMI corner
I was a chemistry enthusiast, but everything changed when the Fire Nation attacked.
I am an ISTP, a mala and mint chocolate enthusiast, and I love my sugar gliders.
My hobbies are traveling 🏰, photography 📸, cooking 🥘, singing 🎤, visiting art museums 🏛️, and binge-watching 🍿
As a Chinese Indonesian, I also go by Zhixiong Huang (黃智雄), but 我不會中文 🥲
We might have crossed paths in one of these conferences/workshops: KIISE KSC 2023, ICML 2024, SICSS-Korea 2024, AOTULE 2024, WSDM 2025, CASA & RC Trust Summer School 2025, CIKM 2025
