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.


About

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.


Research

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.

Teaching

At Penn:

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

Contact