I am a first-year Ph.D. student in Computer Science at the University of Illinois at Urbana-Champaign (UIUC), where I am conducting research on the out-of-distribution generalization of machine learning algorithms. My research interests include domain adaptation, representation learning, robustness to distributional shift, and applications in neuroscience, medicine, and healthcare.


Honors & Awards

Outstanding Teaching Assistant Award

Computing Systems 

Bioengineering Senior Design Award

relieVR Bioreponsive Virtual Reality 

2nd Place Johns Hopkins International Healthcare Design Competition (200+ teams from the US and abroad)

relieVR Bioreponsive Virtual Reality 

Penn Berkman Innovation Prize Winner

relieVR Bioreponsive Virtual Reality 

Aug. 2020

May 2020

Apr. 2020

Oct. 2019


Penn Engineering Master’s Advisory Board (EMAB)

Robotics representative

GRASP Seminar Panelist


Women in Computer Science (WiCS)

2020 - 2021

2020 - 2021

2018 - 2021

Works in Progress

1. MTL and Transfer Learning for Cardiac Signal Classification.
    Nicole Chiou*, Kuk Jang*, Eric Eaton, Rahul Mangharam

    [Project Website]

2. VAE-based Context Embedding for Personalized Arrhythmia Discrimination.

    Kuk Jang, Nicole Chiou, Renandukan Tumu, Rahul Mangharam

    [Project Website]

3. Deep Learning Framework for Classification of Neuromorphic Vision Sensing Hand


    Nicole Chiou*, Olaoluwa Owoputi*

4. Using Tree-Based Ensembles to Infer the Pathological Cause of Age-related 

    Neurodegenerative Changes.

    Nicole Chiou*, Jeffrey Phillips*

5. relieVR: A Bioresponsive Virtual Reality Platform for At-Home Treatment of LUTD.

    Nicole Chiou, Gabriel DeSantis, Ben Habermeyer, Vera Lee

    [Project Website]


nicchiou [at] gmail [dot] com

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