About Me
I am current a research engineer at A*STAR I2R Singapore. My research interests focus on Neuroscience-inspired AI, Adaptive Systems, Machine Learning and Computational Neuroscience. My long-term goal is to abstract concepts such as consciousness, memory, and learning from biological neural systems and model them into advanced artificial intelligence models for application in real life. In turn, I also aim to use latest-generation AI technologies to assist and accelerate the exploration of biological neural systems, especially the brain, to enable fundamental science to explain the mechanisms of complex behaviors and systems.
My current research focuses on the Predictive Coding theory, a promising area where AI models utilize hierarchical learning processes akin to human cognitive functions. And its derivative structures, such as Active Predictive Coding and Relative cue encoding. I am now keenly interested in exploring and expanding the application of PCN in various scenarios, aiming to achieve state-of-the-art performance through structural adjustments or the integration of new modules.
I am currently searching for appropriate PhD programs worldwide, aiming to fulfill part of my grand ambitions through them. I completed both my MSc and BSc in Artificial Intelligence at the University of Sussex, graduating with Distinction and First-class honors, respectively. Additionally, I undertook cross-disciplinary modules that provided me with unique insights into neuroscience, brain and behavior, artificial life, and autonomous vehicles, among others. These academic experiences have given me a solid foundation in AI and computational methods in computer science. I have also completed an internship at an AI startup company, hyperTunnel, which has endowed me with practical knowledge in multi-agent optimization, comprehensive analysis, solution architecture, and programming. These experiences demonstrate that I possess the academic and professional skills necessary to pursue a research position, and I look forward to fulfilling my aspiration for further academic development. Please contact me if you would like to discuss further with me anything about Artificial Intelligence, Neuroscience or robotics.
What I have Learned:
| Artificial Intelligence | Data Science and Algorithms | Engineering |
|---|---|---|
| Neural Networks | Multi Adaptive Regression Splines | Autonomous Vehicles |
| Deep Learning | LOESS/LOWESS | Adaptive Control Systems |
| Global Optimization | Gradient Boosting Machines | Image Processing |
| Computer Vision | Evolutionary Algorithms | Industrial Automation |
| Reinforcement Learning | Bayesian Networks | Robotics optimization |
| Language Models | Ensemble Methods(Bagging…) | Swarm Intelligence |
| Bio-inspired AI | Variational Autoencoders | |
| Reasoning and Knowledge | Causal Impacts | |
| Reinforcement Learning | Graph Neural Networks | |
| Free Energy Principle | XGBoost, LightGBM, CatBoost |
MISCELLANEOUS
| Programming Languages | Hobbies | My usual haunts |
|---|---|---|
| Python/Torch/Tensorflow | Baking | Labs |
| Matlab/Simulink | Bartending | Gardens |
| Html/Css/Javascript | Tennis | Kitchen |
| C/C++/C#/.Net/Unity3D | Swimming | Rehearsal Studio |
| Git/Docker/Bash/Shell | Cello | Tennis Court |
| Java/SpringBoot | Gaming | Seaside |
For more info
More info about some of my past projects or research experiences? You can find them at Shawcase. Want to get in touch with me? You can find the way you want at Contact Me.