Shashank Madala

I contribute to multimodal AI research at Yale’s Child Study Center focused on modeling autism-related social communication differences from naturalistic parent–child interactions. My work involves engineering acoustic, lexical, and behavioral feature pipelines from speech, prosody, and conversational data; developing fusion architectures that integrate verbal and nonverbal interaction signals; and analyzing dyadic synchrony patterns linked to social engagement and co-regulation. I also support preprocessing and annotation workflows across 120+ hours of longitudinal family interaction data and conduct literature reviews on computational psychiatry, autism assessment, and human-centered AI for developmental health.