Research
My current research interests include geometric & topological deep learning, graph neural networks, deep generative modelling, and their applications in computational biology
(such as drug discovery and biological foundation models for DNA, RNA, and proteins).
In the past, I also did research on Bayesian nonparametrics, focusing specifically on Gaussian processes and Bayesian optimization.
|
Education
|
|
University of California San Diego
Sep 2024 - Now
Ph.D. in Data Science and Machine Learning
Supervisor: Prof. Yusu Wang
|
|
University of Cambridge
Oct 2022 - Sep 2023
M.Phil. in Machine Learning and Machine Intelligence
Supervisor: Prof. Pietro Liò
Mentor: Haitz Sáez de Ocáriz Borde
|
|
University College London
Sep 2019 - June 2022
B.Sc. (Hons) in Mathematics and Statistics
Supervisor: Dr. François-Xavier Briol
|
Honors & Awards
- First Year PhD Fellowship, Halıcıoğlu Data Science Institute, UC San Diego, 2024 - 2025
- Dean's List, UCL Faculty of Mathematical & Physical Sciences, 2022
- First Year Sessional Prize, UCL Department of Statistical Science , 2020
|
Misc
- I am a big fan of Gundam, especially Zeta Gundam.
- My favourite Chinese singer is David Tao and my favorite song of him is 'Close to you' (天天) . Do try it out!
- I taught myself all the first year mathematics courses at UCL (analysis, algebra, mathematical methods) and directly enrolled in Complex and Real Analysis modules without (formally) attending its prerequisite courses.
But still, I managed to get top grades for all these two challenging analysis courses. Maths is not that daunting.😉
|
|