About Me

I am a Ph.D. student in Electrical and Computer Engineering at University of Illinois Chicago. Currently, I am working on the trade-off between computational cost and performance of neural networks.


  • (07/2022) Our paper "Pruning Early Exit Networks" has been accepted to Sparsity in Neural Networks 2022.
  • (05/2022) I have been selected to attend the Eastern European Machine Learning Summer School 2022. I will be presenting our work E2CM. Update: Received top-voted poster award.
  • (04/2022) Our paper "E2CM: Early Exit via Class Means for Efficient Supervised and Unsupervised Learning" has been accepted to IJCNN 2022.
  • (08/2021) I worked as a machine learning intern at Roku in the Advertising Engineering team in summer 2021.