Service

Organizing and Leadership

• Organizer of the Scientific Methods for Understanding Neural Networks workshop @ NeurIPS 2024.
• Organizer of the Muslims in ML affinity workshop @ NeurIPS 2023.
• Leader of the Robustness of Deep Learning Models to Distribution Shift session @ WiML, ICML 2022.
• Organizer of the Approximate Inference in Bayesian Deep Learning competition @ NeurIPS 2021.

Outreach and Volunteering

• Mentor for the NeurIPS 2022 High School Outreach Program to broaden participation in machine learning by engaging with students early.
• Volunteer at NeurIPS 2023, ICML 2022, and WiML @ NeurIPS 2022.
• Mentor for the Deep Learning Indaba Mentorship Programme to support and strengthen the African machine learning community, 2021-2022.
• Consultant for the university of Montreal to increase enrollment in mathematics by students from underrepresented groups, 2020.
• Graduate student representative in the Disciplinary Board at Polytechnique Montreal, 2019.
• Mathematics and physics volunteer instructor for high school students from disadvantaged backgrounds. 2016-2018.

Research Mentorship

• Mentored Feliciana Manuel to conduct her undergraduate research on Ocular Cataract Identification Using Deep Convolutional Neural Networks at Lúrio University, Mozambique through the Deep Learning Indaba Mentorship Programme.

Mental Health Advocacy

• 2023: Organizer of CDS Peers Meet-ups, where students from the Data Science department at NYU meet to support and mentor each other in navigating the challenges that arise during the PhD.
• 2023: Co-organizer and coordinator of the workshop Everything I wish I knew as I navigated my Ph.D. at NYU and CMU, where we discussed mental health challenges, academic culture in doctoral programs, and how to create mental health advocacy groups and activities in both universities.
• 2017: Mental health campaign leader: led a group of over 70 students to promote emotional well-being and prevent suicide among hundreds of students at Ecole Centrale Paris.

Reviewing

• Conferences: Neural Information Processing Systems (NeurIPS), International Conference on Machine Learning (ICML), International Conference on Learning Representations (ICLR), Conference on Machine Learning, Optimization, and Data Science (LOD)
• Journals: Journal of Machine Learning Research (JMLR).
• Workshops: NeurIPS 2023 Attributing Model Behavior at Scale Workshop, NeurIPS 2022 Women in Machine Learning Workshop - Area Chair, NeurIPS 2021 Bayesian Deep Learning Workshop, NeurIPS 2019 Women in Machine Learning Workshop.
• Competitions: NeurIPS 2023 Competition Track.