• Design, implement and optimize signal-processing, statistical and machine-learning algorithms for eye-movement (oculomotor) and voice/speech data.
• Validate algorithms against clinical reference standards: accuracy, reliability (test–retest), longitudinal sensitivity to change, and generalizability across cohorts.
• Curate, quality-control and analyze large multimodal clinical datasets; maintain reproducible, documented analysis pipelines and code.
• Draft peer-reviewed scientific articles with a high degree of autonomy (from analysis plan to submission and response to reviewers), as well as abstracts, reports and grant sections.
• Present findings at lab meetings and scientific conferences, and communicate effectively with clinicians, engineers, trainees and local, national and international collaborators.