Summary
Chaklam Silpasuwanchai is an Assistant Professor and machine learning researcher with eight years of experience applying deep learning to EEG, fMRI and natural language data. Based at the Asian Institute of Technology, he teaches Python for Data Science and NLP while publishing research that bridges neuroscience and NLP using tools like PyTorch and MNE. His PhD and postdoctoral work focused on brain-signal analysis, giving him practical expertise in translating neural data into predictive models. He combines strong academic rigor—top grades in his MEng and BE—with hands-on engineering, maintaining an active GitHub and personal site to share code and findings. Notably, his profile emphasizes an uncommon dual fluency in both textual and neural data modalities, enabling interdisciplinary solutions across brain and language tasks.
8 years of coding experience
2 years of employment as a software developer
Master of Engineering - MEng, Computer Science, 3.93/4.00, Master of Engineering - MEng, Computer Science, 3.93/4.00 at Asian Institute of Technology
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Kochi University of Technology
Bachelor of Engineering - BE, Computer Science, 3.82/4, Bachelor of Engineering - BE, Computer Science, 3.82/4 at Sirindhorn International Institute of Technology (SIIT), Thammasat University