CV

CV

Education

• Ph.D in Computer Science, Purdue University, May 2024 (expected)
• M.S. in Computer Science, Purdue University, 2020
• B.S. in Computer Science, Purdue University, 2018

Work experience

• Summer 2022
  • Microsoft Research Intern
  • Focus: Interactive Grounded Language Learning
  • Supervisor: Julia Kiseleva
• Summer 2021
  • Amazon Applied Science Intern
  • Focus: Interactive Product-Image Retrieval
  • Supervisor: Emre Barut
• Summer 2020
  • Amazon Applied Science Intern
  • Focus: Named Entity Recognition
  • Supervisor: Michael Kayser
• Summer 2019
  • Fujitsu Laboratories of America Machine Learning Research Intern
  • Focus: Dialogue + Joke Selection
  • Supervisor: Ramya Malur Srinivasan

Publications

Improving Natural Language Interaction with Robots Using Advice

Tackling Fake News Detection by Interactively Learning Representations using Graph Neural Networks

Tackling Fake News Detection by Continually Improving Social Context Representations using Graph Neural Networks

Improving Grounded Language Understanding in a Collaborative Environment by Interacting with Agents Through Help Feedback

An Interactive Framework for Profiling News Media Sources

Interactively Learning Social Media Representations Improves News Source Factuality Detection

Skills

• Natural Language Processing
• Deep Learning
• Computer Vision
• Python

Teaching

• Graduate Level
  • Natural Language Processing
  • Statistical Machine Learning
• Undergraduate
  • Data Mining and Machine Learning
  • Systems Programming

Service and leadership

• Reviewing: ACL ARR, ACL, AACL, AAAI, NAACL, EMNLP, COLING, EACL