• B. Goh, Y. Koh, 'Winner Winner Double Dinner', Ours, Scientfica, Jan 5 2022.

• Instructed sciences and mathematics at the primary and lower secondary level.• Developed and transformed instructional materials using technology-enhanced platform.

• PI: Distinguished Prof Rong Li, Director, Mechanobiology Institute• Supervisor: Mr Shu Chang

• PI: Distinguished Prof Rong Li, Director, Mechanobiology Institute• Supervisor: Dr Wu Hongyi & Mr Cui Hongyue• Project Title: Investigating the Effects of Mechanical Trauma on Protein Aggregation.• Project Summary: Neurodegenerative diseases, such as amyotrophic lateral sclerosis (ALS), are characterized by accumulation of protein aggregates in the nervous system. Traumatic brain injury (TBI) is a dubious predisposing factor to ALS but whether and how TBI causes protein aggregation is unknown. We aim to investigate the impact of TBI on protein homeostasis (proteostasis) using mechanobiology and bioimaging methods.

• PI: Distinguished Prof Rong Li, Director, Mechanobiology Institute• Supervisor: Dr Wu Hongyi• Project Summary: Protein aggregation and organelle dysfunction are both hallmarks of aging and many age-associated diseases. Recent discoveries of aggregate-organelle interactions (AOI) in our and other labs provided a link between them. We aim to further unravel the mechanisms and physiological/pathological consequences of AOI using combined genetic, biochemical and bioimaging methods.

• Project Title: Genomics meets Big Data – Interactive Database and Analytics• PI: Assoc Prof Eric Yap• Investigated the diversity, prevalence, and evolution of antimicrobial resistant genes in clinically important pathogenic bacteria using microbiological and molecular techniques.• Developed an automated pipeline to collect, transform, characterise, analyse, and visualise genomic datasets to understand antibiotic resistance in clinically important pathogenic bacteria.• Genomic data was collated from bioinformatics databases such as NCBI Genome & NCBI PathogenDetection, transformed using Microsoft Power Query and GALAXY, characterised using PubMLST, visualised using Microsoft Power BI, and automated using Microsoft Power Automate.

• PI: Prof Chew Sing Yian• Shadowed the conduct of locomotor studies (Basso, Beattie, Bresnahan locomotor rating scale) and animal surgery to evaluate traumatic nerve injuries and regeneration in mice.

• PI: Assoc Prof Song Juha• Designed and fabricated microneedles for painless drug delivery using computer-aided design software (Rhinoceros® 7) and digital light processing (DLP) 3D printing technology.

• Supervisors: Dr Nithya Baburajendran & Dr Jothi Anantharajan• Performed bacterial culture using Epiphyte3 Large-Scale Expression (LEX) bioreactor technology.• Purified proteins using Cytiva AKTA Pure and AKTAxpress chromatography systems via o Immobilised metal affinity chromatography,o Ion exchange chromatography,o Size-exclusion chromatography.• Performed screening and optimization of conditions for protein crystallisation.• Shadowed the structural determination of protein-small molecule complexes using,o Crystallographic Object-Oriented Toolkit (COOT),o PyMol Molecular Graphics System,o Python-based Hierarchical Environment for Integrated Xtallography (PHENIX).