About Me

‘Where there is a will, there is a way.’ —— To those who have dreams

I am a research intern at University of Rochester, collaborating with Prof. Florian Jaeger and Prof. Yuhao Zhu, focus on cross-talker accented speech generalisation. My research interests are centered around Neuro/CogScience-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.

I am currently searching for PhD programs worldwide, as I am eager to receive rigorous academic training to pursue my aspirations. 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 previously worked as an AI research engineer at A*STAR in Singapore, where I was primarily responsible for researching computational modeling of the nervous systems of C. elegans and zebrafish. Before that, I completed an internship at hyperTunnel (AI startup company), 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 IntelligenceData Science and AlgorithmsEngineering
Neural NetworksMulti Adaptive Regression SplinesAutonomous Vehicles
Deep LearningLOESS/LOWESSAdaptive Control Systems
Global OptimizationGradient Boosting MachinesImage Processing
Computer VisionEvolutionary AlgorithmsIndustrial Automation
Reinforcement LearningBayesian NetworksRobotics optimization
Language ModelsEnsemble Methods(Bagging…)Swarm Intelligence
Bio-inspired AIVariational Autoencoders 
Reasoning and KnowledgeCausal Impacts 
Reinforcement LearningGraph Neural Networks 
Free Energy PrincipleXGBoost, LightGBM, CatBoost 

MISCELLANEOUS

Programming LanguagesHobbiesMy usual haunts
Python/Torch/TensorflowBakingLabs
Matlab/SimulinkBartendingGardens
Html/Css/JavascriptTennisKitchen
C/C++/C#/.Net/Unity3DSwimmingRehearsal Studio
Git/Docker/Bash/ShellCelloTennis Court
Java/SpringBootGamingSeaside

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.