Beliz Gunel

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

Contact

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.

Research

My research interests include

  • Representation Learning

  • Natural Language Processing

  • Convex Optimization

  • Medical Imaging

Publications

  • 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.
    [paper]

  • 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.
    [paper]

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

Teaching

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.