My research interests lie in the intersection between deep learning and computational neuroscience. The following are some of my published works and articles. You can also find my profile on Google Scholar.
Publication
| Bryan M. Li, Alexander Cowen-Rivers, Piotr Kozakowski, David Tao, Siddhartha Rao Kamalakara, Nitarshan Rajkumar, Hariharan Sezhiyan, Sicong Huang, Aidan N. Gomez. RL: A generic reinforcement learning codebase in TensorFlow. Journal of Open Source Software. 2019. |
| Aidan N. Gomez, Sicong Huang, Ivan Zhang, Bryan M. Li, Muhammad Osama, Lukasz Kaiser. CipherGAN: Unsupervised Cipher Cracking Using Neural Networks. International Conference on Learning Representations. 2018. |
Workshop paper
| Aidan N. Gomez, Sicong Huang, Ivan Zhang, Bryan M. Li, Muhammad Osama, Lukasz Kaiser. Unsupervised Cipher Cracking Using Discrete GANs. Neural Information Processing Systems DISCML. 2017. |
Preprint
| Bryan M. Li, Theoklitos Amvrosiadis, Nathalie Rochefort, Arno Onken. Neuronal Learning Analysis using Cycle-Consistent Adversarial Networks. 2021. |
| Bryan M. Li, Theoklitos Amvrosiadis, Nathalie Rochefort, Arno Onken. CalciumGAN: A Generative Adversarial Network Model for Synthesising Realistic Calcium Imaging Data of neuronal populations. 2020. |
Thesis
| Synthesising Realistic Calcium Imaging Data of Neuronal Populations using Deep Generative Models. MSc by Research, awarded with Distinction. 2020. |
Blog post
| Accelerated TensorFlow model training on Intel Mac GPUs. Towards Data Science. 2021. |
| Multi-GPUs and custom training loops in TensorFlow 2. Towards Data Science. 2021. |
| A Transformer Chatbot Tutorial with TensorFlow 2.0. TensorFlow Blog. 2019. |
Teaching
| Tutor & Marker. INFR11130 Machine Learning and Pattern Recognition. University of Edinburgh. 2021 Autumn. |
| Teaching Assistant. CSC258H1 Computer Organization. University of Toronto. 2018 Winter. |
| Teaching Assistant. CSC120H1 Computer Science for the Sciences. University of Toronto. 2017 Fall. |
Work in news
| Powerful AI Algorithm That Cracks Encrypted Messages Could Help Facebook and Google Translate Human Language. Newsweek. 2018. |
| Cracking the code: This group of U of T computer science researchers are decoding ciphers with AI. University of Toronto News. 2017. |