Lucy R. Chai

I am an MPhil student in Machine Learning at Churchill College, University of Cambridge. Starting Fall 2018, I will be a graduate student at MIT.


I did an MPhil in Machine Learning, Speech, and Language Technology at Cambridge University. For my thesis, I investigated uncertainty and interpretability in Bayesian neural networks. I am extremely thankful for support from the Churchill Scholarship.

Prior to that, I majored in Computer Science and Bioengineering at the University of Pennsylvania. I did my undergraduate research with Dr. Danielle S. Bassett in computational neuroscience, focusing on modelling neural processes as dynamic networked systems.

For more information, see my CV.


In machine learning:

  • MPhil Thesis: Uncertainty Estimation in Bayesian Neural Networks and Links to Interpretability
  • Henderson J. C., Gertner, A., Zarella, G., Chai, L. R., Miller, K. Name and Face Matching. US. Patent App. 16/042,958.

In neuroscience:

  • Chai, L. R., Khambhati, A. N., Ciric, R., Moore, T., Gur, R. C., Gur, R. E., Satterthwaite, T. D., Bassett, D.S. Evolution of brain network dynamics in neurodevelopment. Network Neuroscience.
  • Chai, L. R., Mattar, M. G., Blank, I. A., Fedorenko, E., and Bassett, D. S. Functional network dynamics of the language system. Cerebral Cortex.

In medical imaging:

  • Jeffrey E. Eben, Trevor L. Vent, Chloe J. Choi, Sushmitha Yarrabothula, Lucy Chai, Margaret Nolan, Elizabeth Kobe, Raymond J. Acciavatti, Andrew D. A. Maidment. Development of a Next Generation Tomosynthesis System. SPIE Medical Imaging Conference.


At Penn:

  • BE350 - Spring 2017 - Fluid Mechanics
  • CIS262 - Fall 2016 - Automata, Computability, Complexity