CV

Education

• B.S. in Computer Science, Dalian University of Technology, 2015
• M.S. in Computer Science, ETH Zurich, 2018
• Ph.D in Recommender Systems/ Natural Language Understanding, ETH Zurich, 2022 (expected)

Work experience

• Mar.2018 - Sept.2018: ML/NLP Engineer
  • Disney Research Zurich (DRZ)
  • Duties included: worked for the NLP component in project CARDINAL, an internal platform dedicated to automatically transforming screenplays into pre-visualizations. CARDINAL has been nominated for the Best of Disney Award in the year of 2018.
  • Supervisor: Ashutosh Modi, Sasha A. Schriber, and Markus Gross
• Jul.2017 - Jan.2018: Machine Learning Engineer
  • 1plusX
  • Optimization of User Profiling in online Ads context with NLP and Machine Learning. Prototyping and experimentation of different neural models using Tensorflow and Spark ML. Contribute production-quality Scala and Python code. Routinely processing large amounts of data using Amazon Web Services (AWS).
  • Supervisor: Young-Jun Ko, and Hastagiri Vanchinathan
• May.2016 - Jul.2017: NLP Research Assistant
  • D-MTEC, ETH Zurich
  • Crawl, Clean, Analyze Open stack data based on Blueprints using deep learning.
  • Supervisor: Yash Raj Shrestha

Skills

• Machine Learning
• Natural Language Understanding
  • Text Simplification
  • Coreference Resolution
  • Descrete Generative Models
• Recommender Systems + Knowledge Graph

Publications

Generating Animations from Screenplays

Generating Animations from Screenplays. "Y. Zhang, E. Tsipidi, S. Schriber, M. Kapadia, M. Gross, A. Modi, " Proceedings of the Eighth Joint Conference on Lexical and Computational Semantics (*SEM 2019) (Minneapolis, Minnesota, USA, June, 2019), pp. 292–307

Teaching

Natural Language Processing (252-3005-00L)

Deep Learning (263-3210-00L)