Computational Psychiatry Course 2020 (Sep. 2020)

Duration: 5-day lectures & 1-day tutorials

Organizer: The Translational Neuromodeling Unit, University of Zurich, ETH Zurich

• Lecture topics contain Bayesian Learning, Active Inference, Reinforcement Learning & Decision-Making, Model Inversion, Machine Learning
• Attended the tutorial for machine learning

2020 Neuromatch Academy summer school for computational neuroscience (Jul. 2020)

Duration: 3-week tutorials & group project

Organizer: Neuromatch Academy Team

• Tutorial topics include Python Workshop, Model Types, Modeling Practice, Model Fitting, Machine Learning, Dimensionality Reduction, Bayesian Statistics, Linear Systems, Decision Making, Optimal Control, Reinforcement Learning, Real Neurons, Dynamic Networks, Network Causality, Deep Learning.
• Involved in building deep learning model to predict the participants’ task performance through resting-state fMRI whole brain regions of functional connectivity.

Udacity Virtual Reality Nanodegree (2017 –2018)

Organizer: Udacity

• Developed a 3D maze game with coin collection, designed to run on the Android system by Unity.