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Sonia Joseph
Sonia Joseph is a prominent figure in the fields of artificial intelligence and computational neuroscience, currently pursuing her PhD at the Mila Quebec AI Institute. She graduated from Princeton University in 2019, where she concentrated in computational neuroscience and also studied computer science and creative writing. Her undergraduate thesis focused on natural language processing models for semantic representation in the human brain, developed in collaboration with the Princeton Neuroscience Institute and Google.125
Academic and Professional Background
- Education: Sonia studied various disciplines, including computer science and literature, at Princeton. Her diverse educational background reflects her interest in exploring intelligence from both artificial and biological perspectives.2
- Research: At Mila, she is engaged in research that involves multimodal interpretability and alignment, aiming to advance understanding in AI systems.23 She has previously worked on deep learning models applied to neural data at Janelia Research Campus and has held roles as a machine learning consultant for startups in the Bay Area.24
- Entrepreneurship: Sonia co-founded Alexandria, an internet publishing house focused on web3 books, indicating her entrepreneurial spirit alongside her academic pursuits.16
Interests and Contributions
Sonia's work is characterized by a desire to bridge different fields, which she describes as "doing a kind of arbitrage" between disciplines. This interdisciplinary approach is evident in her research and her involvement in initiatives like organizing learning forums on artificial general intelligence (AGI).12 She is also active in community-building within the tech space, having founded journal clubs aimed at supporting women in AI.4
Personal Background
Sonia's upbringing between Boston and India has influenced her worldview and ambitions. She comes from a family with strong academic roots, which has shaped her interests in both technology and literature.1
In summary, Sonia Joseph is a multifaceted researcher and entrepreneur at Princeton University whose work spans machine learning, neuroscience, and creative writing, driven by a quest to understand intelligence in its various forms.