
YOW Ying Ming Ivan
Schmidt AI in Science Postdoctoral Fellow, Mechanobiology Institute, National University of Singapore
ivanyow@nus.edu.sg
Level 10 T-Lab
National University of Singapore
5A Engineering Drive 1
Singapore 117411
Yow Ying Ming Ivan
Schmidt AI in Science Postdoctoral Fellow
Research Areas
2D and 3D tissue mechanics; Tissue engineering and regenerative medicine; Proton radiobiology; Biomaterials; Convolution neural network modeling
Qualifications
BSc (Hons), PGDE, MSc, MA, PhD, EMBA
Biography
Ivan holds a Bachelor’s with Honors in Life Sciences from the National University of Singapore (NUS), completed in 2011. He further obtained a Postgraduate Diploma in Education in 2012 before embarking on a four-year scholarship bond with the Ministry of Education, Singapore. During this time, he pursued dual postgraduate degrees: a Master of Science in Applied Physics (2013-2015) and a Master of Arts in Education Leadership and Management (2015).
Upon fulfilling his scholarship obligations, Ivan returned to NUS to complete a PhD in Mechanobiology (2015-2021) under the supervision of Assoc. Professor Yusuke Toyama. His research focused on investigating the mechanical influence of apoptotic cell extrusion on surrounding tissue.
Following his PhD, Ivan joined Assoc. Professor Low Boon Chuan’s laboratory under the A*STAR Industry Alignment Fund – Industry Collaboration Project (IAF-ICP), where his work led to a venture through the NUS Graduate Research Innovation Programme (GRIP) and the successful patenting of a cell-culture platform, “Cell-Culture Platform and A Magnetic Material For Such A Platform” (Singapore: 11202308413V; US: 20240287433).
While developing his deep tech enterprise, Ivan concurrently pursued an Executive MBA (2022-2023). He was also awarded the NUS Ministry of Education decentralized GAP fund for his project on “A Hydrogel Composition, A Method Of Preparing The Same And Uses Thereof” (PCT/SG2024/050270). His research interests encompass AI applications in science, myocardial regeneration, radiobiology, and age-related diseases. He is currently an Eric and Wendy Schmidt AI in Science Postdoctoral Fellow working on “AI-assisted microscopy image analysis in mechanobiology for tissue fluidization”.
Principal Investigator
Recent Publications
- Xiao J, Ang JW, Zhong X, Wong DCP, T T, Yow I, Lee CJM, Foo RS, Kanchanawong P, and Low BC. Coordination of Focal Adhesion Nanoarchitecture and Dynamics in Mechanosensing for Cardiomyoblast Differentiation. ACS Appl Mater Interfaces 2025;. [PMID: 39778877]
- Kawaue T, Yow I, Pan Y, Le AP, Lou Y, Loberas M, Shagirov M, Teng X, Prost J, Hiraiwa T, Ladoux B, and Toyama Y. Inhomogeneous mechanotransduction defines the spatial pattern of apoptosis-induced compensatory proliferation. Dev Cell 2023;. [PMID: 36800994]
- Lou Y, Kawaue T, Yow I, Toyama Y, Prost J, and Hiraiwa T. Interfacial friction and substrate deformation mediate long-range signal propagation in tissues. Biomech Model Mechanobiol 2022;. [PMID: 36057053]
- Wong DCP, Xiao J, Chew TW, Pan M, Lee CJM, Ang JW, Yow I, Thivakar T, Ackers-Johnson M, Lee NJW, Foo RS, Kanchanawong P, and Low BC. BNIP-2 Activation of Cellular Contractility Inactivates YAP for H9c2 Cardiomyoblast Differentiation. Adv Sci (Weinh) 2022;:e2202834. [PMID: 35975420]
- Wong DCP, Lee EHC, Er J, Yow I, Koean RAG, Ang O, Xiao J, Low BC, and Ding JL. Lung Cancer Induces NK Cell Contractility and Cytotoxicity Through Transcription Factor Nuclear Localization. Front Cell Dev Biol 2022; 10:871326. [PMID: 35652099]
- Kocgozlu L, Saw TB, Le AP, Yow I, Shagirov M, Wong E, Mège R, Lim CT, Toyama Y, and Ladoux B. Epithelial Cell Packing Induces Distinct Modes of Cell Extrusions. Curr. Biol. 2016;. [PMID: 27746027]
Selected Publications
- Sonam, S., Balasubramaniam, L., Lin, SZ. et al. Mechanical stress driven by rigidity sensing governs epithelial stability. Nat. Phys. 19, 132–141 (2023). https://doi.org/10.1038/s41567-022-01826-2
- Hiltonol, a dsRNA Mimic, Promotes NK Cell Anticancer Cytotoxicity Through TAZ Cytoplasmic Sequestration. Adv. Therap. 2023, 2300016. https://doi.org/10.1002/adtp.202300016 , , , , , , , , , ,