I am a researcher working on machine learning applications in supply chain management. I am particularly interested in Reinforcement Learning. Sometimes I work on fun projects to develope my tech stacks.
An ongoing research project to apply DRL in Multi-echelon inventory problems. Check out my (early stage) ▶️presentation for IVADO Digital October.
Ranked 4/469, winning $3000 cash prize in Kore 2022 simulation, a coding competition sponsored by Google. A huge competitive advantage was gained through re-writing game logics into vectors/matrices operations with Numpy. A 📝write up can be found here.
Won 1st place in Team Challenge #3 (Gunshot Audio Detection) with a custom CNN model, and 2nd place in personal challenge (machine learning knowledge quiz).
Reference for the Chinese slangs! aka. Chinese version of the Urban Dictionary.
2019-present Ph.D in Operations Management and LogisticsSupervised by:
Yossiri Adulyasak,
Martin Cousineau
and Raf Jans Awards
GPA: 4.03 out of 4.3Taken Courses
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2012-2014 M.Sc. in Golobal Supply Chain Management | ||||||||||||||
B.Econ. in FinanceExtracurricular Activities
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July 2018 - August 2019, Shenzhen, China
March 2015 - March 2017, Montreal, Canada
June 2016 - March 2017
March 2015 - June 2016
A 7-course specializaiton that covers various topics: Linux Basics, Language Foundations, Modular Programming and Memory Management, Pointers and Memory Management, Advanced Data Types, etc.
A sequence of 3 courses on the prerequisite mathematics for applications in data science and machine learning.
A 5-course specializaiton that covers various topics: Neural Networks and Deep Learning, Convolutional Neural Networks, Sequence Models, Hyperparameter Tuning, Regularization and Optimization and Structuring Machine Learning Projects.
