Author

Nicholas Ting Xun Ong

Agency for Science, Technology and ResearchORCID 0000-0002-6338-668XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioengineering· 1 Synthetic Biology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Assay:long-read sequencing· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Alexander H. van Asbeck· 1 shared Charalampos MakatsorisiD· 1 shared Chayaporn SuphavilaiiD· 1 shared Cheng Yong ThamiD· 1 shared Chew Wei Leong· 1 shared Craig T. MartiniD· 1 shared Duccio MediniiD· 1 shared Giorgio CianoiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperBioengineering

Alexander H. van Asbeck

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2 papers

Recent·Most cited

BioengineeringbioRxivPreprintMar 10, 2026

A Universal, AI-based Design Framework for Efficient Manufacturing of mRNA Therapeutics

Kuo‐Chieh Liao, Giuseppe Maccari, Giorgio Ciano…·Duccio Medini

This paper introduces an AI framework to improve mRNA therapeutic manufacturing by predicting and optimizing sequence design for in vitro transcription efficiency.

DOI 10.64898/2026.03.09.710039

deep learningdrug response / drug discovery

𝕏 PostBluesky

Synthetic BiologybioRxivPreprintDec 2, 2024

Direct high-throughput deconvolution of non-canonical bases via nanopore sequencing and bootstrapped learning

Mauricio Pérez, Michiko Kimoto, Priscilla D. Rajakumar…·Niranjan Nagarajan

This paper demonstrates direct high-throughput sequencing of non-canonical bases using nanopore sequencing and bootstrapped learning, achieving high accuracy and specificity in basecalling.

DOI 10.1101/2024.12.02.625113

long-read sequencingmachine learning (classical)

𝕏 PostBluesky