Scholar
Jianan Canal Li
Google Scholar ID: O_1NPP0AAAAJ
UC Berkeley
Citations & Impact
Citations
488
H-index
4
i10-index
3
Publications
8
Co-authors
12
list available
Publications
Resume (English only)
Research Experience
- Working on projects involving Markov Chain Monte Carlo (MCMC), ML-guided directed evolution (MLDE), representation learning, and generative models.
Education
- Currently a CS PhD student at Berkeley EECS, advised by Prof. Yun S. Song, affiliated with Berkeley AI Research (BAIR).
Background
- Excited by the unlimited possibilities in applying machine learning frameworks to biology. Research interests lie broadly in the power set of {synthetic biology, AI4Science, generative models, deep learning}. During undergraduate years (freshman at UIUC, then at Cornell), fortunate to be advised by Prof. Buz Barstow and Prof. Chris De Sa @Cornell, and Prof. Huimin Zhao @UIUC.
Miscellany
- Checks emails frequently, feel free to reach out!
