CV

Education

• Ph.D. in Cognitive and Neural System Program, University of Arizona.
• Computational and Cognitive Neuroscience Summer School, Cold Spring Harbor Asia.
• M.Ed. in General Psychology, Capital Normal University.
• Computational Neuroscience Summer School, Neuromatch Academy.
• MITx MicroMasters Program in Statistics and Data Science Program, edX.
• B.S. in Applied Psychology, Shanghai Normal University.

Research experience

• Research Assistant, Robert Wilson’s Lab, 2022 ~ Now.
  • Exploration strategies.
  • Optimal learning.
• Remote Research Assistant, Xuexin Wei’s Lab, 2021 ~ Now.
  • Project: How feedforward inputs and recurrent dynamics contribute to the flexible encoding of prior information in working memory system.
• Research Assistant, Da-Hui Wang’s Lab, Beijing Normal University, 2019 ~ 2020.
  • Project: Biophysical mechanism of 2D feature binding for multiple working memory items.
• Master‘s Student, Chunyan Guo’s Lab, 2018 ~ 2021
  • Project: Stability of working memory in attended and unattended states.

Conference Papers

• Xiong, H.D., Ji-An, L., Mattar, M., & Wilson, R. C. (2023). Distilling human decision-making dynamics: A comparative analysis of low-dimensional architectures. In Proceedings of the NeurIPS 2023 AI for Science Workshop.
• Xie, H., Xiong, H.D., & Wilson, R. C. (2023). Text2Decision: Decoding Latent Variables in Risky Decision Making from Think Aloud Text. In Proceedings of the NeurIPS 2023 AI for Science Workshop.
• Xiong, H.D., Ji-An, L., Mattar, M., & Wilson, R. (2023). Neural network modeling reveals diverse human exploration behaviors via state space analysis. In Proceedings of the Conference on Cognitive Computational Neuroscience 2023.
• Xiong, H.D. & Wei, X. X. (2022). Optimal encoding of prior information in noisy working memory systems. Conference on Cognitive Computational Neuroscience 2022. doi

Skills

• Programming Languages: Python (Pytorch, mne), Java, Shell, C# (Unity), MATLAB, Julia, Stan, LaTeX, JavaScript (WebPPL, jsPsych), R.
• Computational Modeling: Artificial neural network, reinforcement learning, spiking neural network, Bayesian model.
• Neural Signal Processing: EEG preprocess, MVPA (RSA, decoding, encoding).
• Experiment: Design psychology experiments, code and deploy online experiments, carry out behavioral and EEG experiments.

Teaching

• Teaching Assistant, Healthy Psychology, University of Arizona, Spring 2023.
• Teaching Assistant, Healthy Psychology, University of Arizona, Fall 2022.
• Project Teaching Assistant, Computational Neuroscience Summer School, Neuromatch Academy, 2022.
• Tutorial Teaching Assistant, Computational Neuroscience Summer School, Neuromatch Academy, 2021.
• Tutor, Workshop on MVPA in EEG, Capital Normal University, Spring 2020.

Grants

• Conference Travel Fund, University of Arizona, 2022.
• Laboratory Open Fund, Capital Normal University, 2018 ~ 2019.
  • Project: How distractors influence the different states of working memory?
• National College Students’ Innovation Training Program, Shanghai Normal University, 2013 ~ 2014.
  • Project: Opinions’ polarization in condition of similar or different cultural value orientations.