Angéline N. Pouget

Ambitious student. Curious researcher. Serial intern. Avid reader. Sports enthusiast.

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Welcome! I’m Angéline, a MSc student at ETH Zürich, very curious about the world around me and deeply passionate about diving headfirst into fascinating topics. At the moment, I am mainly focusing on AI research and especially on ensuring the fairness and trustworthiness of machine learning models.

research

Since early May 2024, I am a research intern at the Vector Institute and a visiting graduate student at the University of Toronto, advised by Nicolas Papernot. Before that, I was a student researcher at Google DeepMind, where I focused on evaluating and improving cultural diversity in contrastive vision-language models with Lucas Beyer, Xiaohua Zhai, Ibrahim Alabdulmohsin and others. I was also a research assistant at the SRI Lab with Martin Vechev, developing a novel evaluation paradigm for fair representation learning. Prior to this, I worked on neuro-symbolic AI at IBM Research with Abbas Rahimi, where I developed a factorizer for distributed sparse block codes.

other work experience

Outside of my research endeavours, I have been fortunate enough to wear many different hats and explore various industries. I developed and priced cross-asset structured products and derivatives on the trading floor at Goldman Sachs in London, assisted different teams in solving challenging business problems at McKinsey & Company and closely collaborated with client stakeholders at Palantir Technologies. As a managing partner at Founderful Campus, I led a team of seven students while we scouted and selected eight promising startups in which we invested CHF 25k each. During my time at ETH, I served as a teaching assistant for four different lectures, during which I prepared and taught weekly exercise sessions, held exam preparation courses and served as a liaison between professors and students.

scholarships

My Master’s degree studies are fully funded through the Excellence Scholarship & Opportunity Programme (ESOP) of ETH Zürich. During my Bachelor’s degree studies, I was generously supported through a Werner Siemens Fellowship awarded by the Swiss Study Foundation and the Werner Siemens-Stiftung.

news

Sep 25, 2024 Our paper on cultural diversity in contrastive vision-language models has been accepted to NeurIPS 2024!
Jul 15, 2024 Our paper on cultural diversity in contrastive vision-language models has been accepted with an oral presentation at the Data-centric Machine Learning Research workshop at ICML 2024. Looking forward to giving a brief talk, participating in a panel, and interesting poster session discussions!
May 24, 2024 Very excited to share our paper on cultural diversity in contrastive vision-language models that I worked on while at Google DeepMind with Lucas Beyer, Emanuele Bugliarello, Xiao Wang, Andreas Steiner, Xiaohua Zhai and Ibrahim Alabdulmohsin.
May 01, 2024 Until the end of this year, I will be working with Nicolas Papernot and the other CleverHans Lab team members as a research intern at the Vector Institute and a visiting graduate student at the University of Toronto.
Apr 28, 2024 During my Bachelor thesis with Abbas Rahimi and Michael Hersche at IBM Research, I developed a sparse resonator network (the full thesis can be found here). The resulting paper was just accepted for publication in Neurosymbolic Artificial Intelligence.

selected publications

  1. NeurIPS 2024
    No Filter: Cultural and Socioeconomic Diversity in Contrastive Vision-Language Models
    Angéline Pouget, Lucas Beyer, Emanuele Bugliarello, Xiao Wang, Andreas Steiner, and 2 more authors
    2024
  2. Preprint
    Back to the Drawing Board for Fair Representation Learning
    Angéline Pouget, Nikola Jovanović, Mark Vero, Robin Staab, and Martin Vechev
    2024
  3. NAI Journal
    Factorizers for Distributed Sparse Block Codes
    Michael Hersche, Aleksandar Terzic, Geethan Karunaratne, Jovin Langenegger, Angéline Pouget, and 4 more authors
    Neurosymbolic Artificial Intelligence Journal, 2024