Come In, Let’s Talk
Even as she helps the community improve their mental health, Dr Charmaine Lim (Arts & Social Sciences ’12) is also mindful about safeguarding hers.
Even as she helps the community improve their mental health, Dr Charmaine Lim (Arts & Social Sciences ’12) is also mindful about safeguarding hers.
The graduating class of 2024 reflects on their time in the University, and share their hopes and fears about the next chapter of their lives.
Organised for the first time in San Francisco’s buzzing Bay Area, the two-day NUS Innovation Forum sparked a vibrant exchange of ideas between NUS alumni, students, thought leaders and industry experts.
NUS College alumni gathered for an unforgettable Alumni Trivia Night, filled with challenging questions, hearty laughs, and a wonderful sense of camaraderie.
From wanting to harness the untapped potential of biowaste, alumnus Hanson Lee and his Green COP start-up team are now paving the way for cleaner energy solutions and a more sustainable future.
Alumni, friends, staff and students gathered on 26 April 2024 for our “Last Lecture Dinner” to celebrate the 95th anniversary of the Faculty of Science.
On Wednesday, 24 April 2024, the NUS College of Design and Engineering (CDE) Class Ambassador Network (CCAN) hosted an engaging and dynamic event aimed at fostering alumni connections and engagement.
NUS Overseas Alumni Qingdao Ambassador Mr David Lye (Arts & Social Sciences ’95) takes us behind the veil of Qingdao, one of northern China’s industrial hubs.
Diversity, Equity and Inclusion (DEI) initiatives are well worth the effort that companies and organisations are putting into them.
Safeguards against AI and the challenges of regulating the unknown provided much food for thought during a panel discussion on “The Intersections of Code and Conscience – AI Ethics and Governance”.
In an interview with The AlumNUS, Dr Ning Ye (Computing ’11), Robotics Machine Learning Engineer at Tesla, shares some nuggets of advice on how to thrive in a tech-driven world.
How Dr Ning Ye (Computing ’11) is tapping on machine learning to make robots more effective partners.