Yonsei Advanced Science Institute

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Faculty

Namshik Han (한남식)


Research Area

Quantum and AI-driven computational models

Education

  • 2007 - 2010Ph.D. Computational Molecular Biology & Machine Learning, University of Manchester
  • 2002 - 2004M.S. Computer Science and Information Engineering, Inha University
  • 1996 - 2002B.S. Computer Science & Engineering (2:1) and LLB in Law, Inha University

Professional Career

  • 2025 - PresentProfessor, Department of Quantum Information, Yonsei University, Seoul, South Korea
  • 2024 - PresentPrincipal Investigator, AI@Cam, University of Cambridge
  • 2023 - PresentAffiliated Principal Investigator, Cambridge Stem Cell Institute
  • 2021 - PresentCo-founder & CTO, CardiaTec Biosciences, Cambridge, UK
  • 2021 - PresentFaculty, Cambridge Centre for AI in Medicine, Department of Mathematics, University of Cambridge
  • 2019 - PresentCo-founder, KURE.ai, Cleveland, USA
  • 2017 - PresentGroup Leader & Head of AI Research, Milner Therapeutics Institute, University of Cambridge
  • 2016 - 2017Research Programme Coordinator, Milner Institute, University of Cambridge
  • 2013 - 2016Bioinformatics Research Fellow, Gurdon Institute, University of Cambridge
  • 2010 - 2013Postdoctoral Research Associate, Faculty of Life Sciences, University of Manchester,
  • 2004 - 2007Researcher, Telecommunication Research Center, Samsung Electronics

Awards and Honors

  • 2023Cambridge Independent Science & Technology Awards
  • 2022Annual Bright SCIdea Competition Awards, Society of Chemical Industry
  • 2017MRC-KHIDI Award

Major Publications

  1. Immunogenicity of autologous and allogeneic human primary cholangiocyte organoids. T S Petrus-Reurer§, O Tysoe, … N Han†, C Betts, L Vallier, K Saeb-Parsy§ (2025) Cell Repots Medicine
  2. Enhancing Clinical Applications by Evaluation of Sensitivity and Specificity in Whole Exome Sequencing. Y Moon, CH Hong, … N Han†, K-M Hong (2024) International Journal of Molecular Sciences
  3. Patient derived organoid biobank identifies epigenetic dysregulation of intestinal epithelial MHC-I as a novel mechanism in severe Crohn’s Disease. T Dennison* R D Edgar *, F Payne*, ... N Han‡, D R Zerbino‡, S Teichmann, J Nys, R Heuschkel, F Perrone § and M Zilbauer§ (2024) Gut
  4. An in silico drug repurposing pipeline to identify drugs with the potential to inhibit SARS-CoV-2 replication. M MacMahon*, W Hwang*, S Yim, E MacMahon, A Abraham, J Barton, M Tharmakulasingam, P Bilokon, V P Gaddi, N Han(2023) Informatics in Medicine Unlocked
  5. Downregulation of Dystrophin Expression Occurs across Diverse Tumors, Correlates with the Age of Onset, Staging and Reduced Survival of Patients. N Alnassar, M Borczyk, G Tsagkogeorga, M Korostynski, N Han, D C Górecki (2023)Cancers
  6. Predicting pathways associated with RNA methylation using machine learning. G Tsagkogeorga§, D Leggate, O Rausch, H Weisser§ and N Han§ (2022) Communications Biology
  7. DILIC: An AI based classifier to search for Drug-Induced Liver Injury literature. S Rathee*,§, M MacMahon*, A Liu, N Katritsis, G Youssef, W Hwang, L Wollman, N Han§ (2022) Frontiers in Genetics
  8. dialogi: Utilising NLP with chemical and disease similarities to drive the identification of Drug-Induced Liver Injury literature. N Katritsis§, A Liu, G Youssef, … N Han§ (2022) Frontiers in Genetics
  9. Computational Discovery of Cancer Immunotherapy Targets by Intercellular CRISPR Screens. S Yim, W Hwang, N Han§, D Lee§ (2022) Frontiers in Immunology
  10. Deriving time-concordant event cascades from gene expression data: A case study for Drug-Induced Liver Injury (DILI). A Liu, N Han, J Munoz-Muriedas, A Bender (2022) PLOS Computational Biology
  11. Medical text classification using dynamic time warping (DTW) and a CNN-BiLSTM hybrid model. G Youssef§, N Katritsis, A Liu, S Rathee , M MacMahon, W Hwang, L Wollman, N Han§ (2022) under revision
  12. Identification of potential pan-coronavirus therapies using a computational drug repurposing platform. W Hwang and N Han (2022) Methods
  13. Current and prospective computational approaches and challenges for developing COVID-19 vaccine. W Hwang*, W Lei*, NM Katritsis*, … and N Han (2021) Advanced Drug Delivery Reviews
  14. Identification of SARS-CoV-2–induced pathways reveals drug repurposing strategiesN Han*,§, W Hwang*, Tzelepis K*, … F Weber and T Kouzarides§ (2021) Science Advances
  15. Methylation of histone H3 at lysine-37 by Set1 and Set2 prevents spurious DNA replication. H Santos-Rosa*, G Millan-Zambran*, N Han*, L Pandolfini, ... and T Kouzarides (2021) Molecular Cell
  16. The inflammatory niche directs alveolar regeneration via Krt8+Cldn4regenerative progenitors. J Choi, J-E Park†, G Tsagkogeorga†, B-K Koo, N Han‡ and J-H Lee (2020) Cell Stem Cell
  17. A novel long noncoding RNA Linc-ASEN represses cellular senescence through multileveled reduction of p21 expression. H C Lee*, D Kang*, N Han†, … and J Lee (2020) Cell Death & Differentiation
  18. Differential expression of soluble receptor for advanced glycation end-products in mice susceptible or resistant to chronic colitis. M Bramhall, K Rich, A Chakraborty, L Logunova, N Han†, ... and S Cruickshank (2020) Inflammatory Bowel Diseases
  19. Genomic positional conservation identifies topological anchor point RNAs linked to developmentalloci. P Amaral*, T Leonardi*, N Han*, E Vire, … and T Kouzarides (2018) Genome Biology
  20. Long non-coding RNA ChRO1 facilitates ATRX/DAXX-dependent H3.3 deposition for transcriptionassociated heterochromatin reorganization. J Park, N Han†, … E J Cho (2018) Nucleic Acid Research
  21. DDX3X RNA helicase affects breast cancer cell cycle progression by regulating expression of KLF4. E Cannizzaro*, A J Bannister*, N Han† and T Kouzarides (2018) FEBS Letters
  22. TIGERi: Modeling and visualizing the responses to perturbation of a transcription factor network. N Han§, H Noyes, A Brass§ (2017) BMC Bioinformatics
  23. Promoter-bound METTL3 maintains myeloid leukaemia by m6A-dependent translation control. I Barbieri*, K Tzelepis*, L Pandolfini*, … N Han†, … G Vassiliou§ and T Kouzarides§ (2017) Nature
  24. FOXM1 and polo-like kinase 1 are co-ordinately overexpressed in patients with gastric adenocarcinomas. M Dibb, N Han†, J Choudhury, … and A D Sharrocks (2015) BMC research notes
  25. Deregulation of the FOXM1 target gene network and its coregulatory partners in oesophageal adenocarcinoma. E F Wiseman, X Chen, N Han†, A Webber, … and A D Sharrocks (2015) Molecular Cancer
  26. The forkhead transcription factor FOXK2 acts as a chromatin targeting factor for the BAP1-containing histone deubiquitinase complex. Z Ji, N Han, … A D Sharrocks (2014) Nucleic acids research
  27. The Forkhead TF FOXM1 Controls Cell Cycle-Dependent Gene Expression through an Atypical Chromatin Binding Mechanism. X Chen, … N Han, … and A Sharrocks (2013) Molecular & Cellular Biology
  28. Progressive lung cancer determined by expression profiling and transcriptional regulation. N Han*, Z Dol*, O Vasieva, … and J K Field (2012) International Journal of Oncology
  29. The FOXM1-PLK1 axis is upregulated in oesophageal adenocarcinoma. M Dibb, N Han†, J Choudury, … and A D Sharrocks (2012) British Journal of Cancer
  30. Protein kinase C regulates late cell cycle-dependent gene expression. Z Darieva, N Han†, K Doris, B A Morgan, A D Sharrocks (2012) Molecular and Cellular Biology
  31. Ultradian cortisol pulsatility encodes a distinct, biologically import signal. A McMaster, M Jangani, P Sommer, N Han, … and D W Ray (2011) PLoS ONE
  32. Prediction of binding sites in protein-nucleic acid complexes. N Han and K Han (2004) Lecture Notes in Computer Science
  33. Computational approach to structural analysis of protein-RNA complexes. N Han, H Kim, and K Han (2003) Lecture Notes in Computer Science

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