Arvind Pillai
I am a 4th year PhD student at Dartmouth College, advised by Prof. Andrew Campbell. Previously, I was a research intern at Nokia Bell Labs (Cambridge, UK) (Summer 2024), and a AI & Data Graduate Scientist at AstraZeneca (2019-2021).
My interdisciplinary research enables the examination of mental health and behavior of individuals through mobile sensing and robust machine learning. In particular, I am interested in these two areas:
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AI for Mental Health: I develop models from different modalities to evaluate the presence of mental illness symptoms: (a) rare life events for sensor data [CHIL’23], (b) suicidal ideation detection from speech [UbiComp’24], and (c) depression detection from front-facing smartphone images [CHI’24].
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Robust ML: I like analyzing how healthcare ML models perform when tested against out-of-distribution data. In general, these models do not perform well, and proposing algorithms to address this issue is very interesting. To this end, I have investigated the generalization of speech-based suicidal ideation detection [UbiComp’24].
news
Oct 29, 2024 | PaPaGei, a foundation model for PPG data is now available! Paper, Models, and Code |
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Oct 08, 2024 | Presented “Investigating Generalizability of Speech-Based Suicidal Ideation Detection Using Mobile Phones” @ Ubicomp 2024 |
Jun 01, 2024 | I will be interning at Nokia Bell Labs in Cambridge, UK for Summer 2024 |
May 14, 2024 | Presented our work MoodCapture at CHI 2024 in Honolulu |