Research

My research interests span machine learning, psycholinguistics, and AI for mental health. I’ve been lucky to work with excellent people and publish at conferences including NeurIPS, ICML, EMNLP, ECCV, and ACL.

Suicide-and crisis-risk detection using large language models in mental-health chatbots

medRxiv 2026

Weber, Klebe, Wolf, Aeberli, Homan, Psathakis, Casanova

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The time scale of redundancy between prosody and linguistic context

ACL 2025

Regev, Ohams, Xie, Wolf, Fedorenko, Warstadt, Wilcox

FABRIC: Personalizing diffusion models with iterative feedback

ECCV 2024

Von Rütte, Fedele, Thomm, Wolf

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Quantifying the redundancy between prosody and text

EMNLP 2023

Wolf, Pimentel, Fedorenko, Cotterell, Warstadt, Wilcox, Regev

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WhisBERT: Multimodal text-audio language modeling on 100M words

CoNLL / BabyLM @ EMNLP 2023

Wolf, Kotar, Tuckute, Hosseini, Regev, Wilcox, Warstadt

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A deep learning approach for the segmentation of electroencephalography data in eye tracking applications

ICML 2022

Wolf, Kastrati, Plomecka, Li, Klebe, Veicht, Wattenhofer, Langer

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The AI neuropsychologist: Automatic scoring of memory deficits with deep learning

bioRxiv 2022

Langer, Weber, Hebling Vieira, Strzelczyk, Wolf, Pedroni

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EEGEyeNet: a simultaneous electroencephalography and eye-tracking dataset and benchmark for eye movement prediction

NeurIPS 2021

Kastrati, Plomecka, Pascual, Wolf, Gillioz, Wattenhofer, Langer

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