Artificial Scientific Intelligence Lab
What We Believe
“Here’s to the crazy ones. The misfits. The rebels. The troublemakers. The round pegs in the square holes. The ones who see things differently. They’re not fond of rules. And they have no respect for the status quo. You can quote them, disagree with them, glorify or vilify them. About the only thing you can’t do is ignore them. Because they change things. They push the human race forward. And while some may see them as the crazy ones, we see genius. Because the people who are crazy enough to think they can change the world, are the ones who do.” — Steve Jobs
“The future depends on some graduate student who is deeply suspicious of everything I have said.” — Geoffrey Hinton
About our lab
Our team focuses on the following three themes of research:
- Autoresearch: Enable AI to conduct autoresearch that improves AI itself.
- AI as science: Treat AI as a scientific subject to systematically understand the fundamentals of AI.
- AI as co-scientist: Develop AI to work with humans in biomedical science development.
About the PI
Leo Dianbo Liu (刘钿渤)
Assistant Professor, National University of Singapore
Before starting the Artificial Scientific Intelligence Lab, Dianbo Liu was a group leader at the Broad Institute of MIT and Harvard. Prior to the Broad Institute, Dianbo worked as a postdoctoral researcher with Prof. Yoshua Bengio (a Turing Award winner) and led the Humanitarian AI team at the Mila-Quebec AI Institute.
This followed his fellowship training and studies in medical informatics at Harvard Medical School. Dianbo earned his PhD from the University of Dundee, Scotland, under the supervision of particle physicist Prof. Timothea Newman. During his doctoral studies, he received the Vest Principal Scholarship from the Massachusetts Institute of Technology (MIT) and was a special graduate student at the MIT Computer Science and Artificial Intelligence Lab, under instruction of Prof. Manolis Kellis.
Dianbo also co-founded two start-ups, GeneTank and SecureAILabs, to advance AI applications in sciences during his training.
Contact
Email: dianbo [at] nus [dot] edu [dot] sg
Address: Level 13 12 Science Drive 2 Singapore 117549
Institution: National University of Singapore
Join Us
We are always looking for talented researchers to join our team! See our open positions for more details, or fill out our application form.
