Working Experience

  • Research Assistant, Spring 2017 - Present

Themes: Deep Learning, Machine Learning, Computational Biology

    • Developing deep learning approaches for pixel-level predictions on biological images

Key techniques: U-Nets, CNNs, GANs, Attention mechanism, Skip connections

    • Investigating the interpretability of deep neural networks for both images and text models

Key techniques: Feature visualization, Optimization, Saliency map, Policy gradient, Discriminative learning, Reinforcement learning


  • Machine Learning Engineer Intern, Facebook, Summer 2020

    • Topic: Building Efficient Lightweight Baselines for Offline Explorations

Key techniques: Data sampling, Feature reduction


  • Summer Research Intern, NEC Labs America, Summer 2019

    • Topic: Multi-modal Information Retrieval via Deep Active Canonical Correlation Analysis

Key techniques: Deep CCA, Active learning, spectral clustering