Kangway Chuang, PhD

Senior AI Scientist and Group Lead

Arnold O. Beckman Postdoctoral Fellow (2017-2021)

Lab papers

1. Attention-Based Learning on Molecular Ensembles.

   Chuang KV, Keiser MJ. arXiv - NeurIPS ML4Molecules. 2020 Nov 25.

2. Learning Molecular Representations for Medicinal Chemistry.

   Chuang KV, Gunsalus LM, Keiser MJ. J Med Chem. 2020 Aug 27.

3. Interpretable classification of Alzheimer's disease pathologies with a convolutional neural network pipeline.

   Tang Z, Chuang KV, DeCarli C, Jin LW, Beckett L, Keiser MJ, Dugger BN. Nat Commun. 2019 May 15.

4. Comment on "Predicting reaction performance in C-N cross-coupling using machine learning".

   Chuang KV, Keiser MJ. Science. 2018 Nov 16.

5. Adversarial Controls for Scientific Machine Learning.

   Chuang KV, Keiser MJ. ACS Chem Biol. 2018 Oct 19.