Beliz Gunel

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PhD Candidate
Statistical Machine Learning Group
Department of Electrical Engineering, Stanford University
Advisor: Christopher Ré


Email: bgunel [at] stanford (dot) edu
Office: Gates 456, 353 Serra Mall, Stanford, CA 94305

About me

I received my B.S. degree in Electrical Engineering and Computer Science with Honors from University of California, Berkeley in 2017. During my time in UC Berkeley, I worked with Prof. Steven Conolly on various medical imaging problems. I have been working on my PhD in Electrical Engineering at Stanford University since 2017. I am originally from Izmir, Turkey.


My research interests include

  • Representation Learning

  • Natural Language Processing

  • Convex Optimization

  • Medical Imaging


  • Mind The Facts: Knowledge-Boosted Coherent Abstractive Text Summarization
    Beliz Gunel, Chenguang Zhu, Michael Zeng, Xuedong Huang
    In Knowledge Representation & Reasoning Meets Machine Learning at NeurIPS, December 2019.

  • Learning Mixed-Curvature Representations in Products of Model Spaces
    Albert Gu, Fred Sala, Beliz Gunel, Christopher Ré
    In ICLR, May 2019.

  • Hyperbolic Word Embeddings
    Beliz Gunel, Fred Sala, Christopher Ré
    In WiML at NeurIPS, December 2018

  • Optimal Broadband Noise Matching to Inductive Sensors: Application to Magnetic Particle Imaging
    Bo Zheng et al.
    In IEEE Transactions on Biomedical Circuits and Systems, October 2017.

  • Quantitative Magnetic Particle Imaging Monitors the Transplantation, Biodistribution, and Clearance of Stem Cells In Vivo
    Bo Zheng et al.
    In Theranostics, January 2016.


Teaching assistant at University of California, Berkeley for:

Honors and Involvements

Other Interests

I love traveling, learning new languages, playing the guitar and singing. I also enjoy watching stand-up comedy, following politics and the stock market.