Angéline N. Pouget
Ambitious student. Curious researcher. Serial intern. Avid reader. Sports enthusiast.
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! |
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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. |