CV

General Information

Full Name Su Wang
Languages English, Mandarin

Education

  • 2015-2020
    Ph.D.
    The University of Texas at Austin
    • Major | Computational Linguistics (4.0)
    • Minor | Statistics (M.S., 4.0)
    • Advisors | Greg Durrett, Katrin Erk
    • Topics | NLP, Bayesian Methods, Neural Networks
  • 2012-2015
    M.A.
    University at Buffalo, SUNY
    • Major | Linguistics (4.0)
    • Minor | Computer Science (4.0)
    • Advisors | Jürgen Bohnemeyer, Jean-Pierre Koenig
    • Topics | Semantics, Typology

Experience

  • 2023 - Present
    Senior Research Engineer
    Google DeepMind
    • Multimodality (focusing on LLM, VLM). Model finetuning work.
    • Evaluation (alignment, fairness, creativity). Used diagnostic evaluations to improve the objective designs for T2I models.
  • 2020 - 2023
    Research Engineer
    Google Research
    • Natural Language Processing. Explored methods in intention parsing from natural languages.
    • Vision-Language Navigation. Created and deployed highly scalable training data for VLN agents.
    • Text-to-image Generation/Editing. Built SoTA T2I editor, along with a comprehensive benchmark.
  • 2019
    Research Intern
    Google AI Language
    • Natural Language Grounding and Navigation. Contributed to VLN instruction evaluation (ECCV'21 publication).
  • 2018
    Research Intern
    Google Assistant
    • Paraphrasing. Collected strong evidence for the value of semantic augmentation in paraphrase generation (in particular for improving human ratings).
  • 2016 - 2017
    Software Engineer
    OJO Labs, Inc.
    • Natural Language Processing. Contributed to conversational infra.
    • Machine Learning. Implemented SoTA models to assist in infra upgrades.
    • Conversation Modeling. Explored conversational modeling and investigated multiple potential directions.

Tech Stack

  • Research
    • Broad | NLP, CV, ML, GenAI
    • Focus | Multimodality, evaluation
  • Languages & Frameworks
    • Languages | Python (main), R, Prolog, C++, Java, HTML/CSS/JS
    • Framework | TensorFlow, PyTorch, JAX

Research Interests

  • Multimodality
    • Text-image semantic alignment
    • Fine-grained / diagnostic multimodal evaluation
  • Human-Agent Interface
    • Coding translation
    • Universal prompt optimization

Other Interests

  • Cycling (road)
  • Casual (formerly competitive) gaming