I study the biological and statistical foundations of decision-making traits and their impact on health. My research integrates statistical genetics, multi-omics, and neuroimaging to understand how traits like impulsivity, delay discounting, and executive function shape behavioral and cardiometabolic outcomes. To advance this goal, I also develop scalable, interpretable models that bridge addiction science, cognitive neuroscience, and precision medicine.
Students interested in thesis supervision, MSc or PhD opportunities, or research volunteer positions are welcome to send a CV, up-to-date transcript, and contact information for two references by email. Applications are reviewed on a rolling basis. Students with strong quantitative background, such as math, statistics, computer science, bioinformatics, and engineering are strongly encouraged to apply.
All thesis students have already been recruited for the 2026–2027 academic year. Priority will be given to students with strong quantitative and analytical backgrounds, especially those interested in statistical genetics and with strong programming skills. Experience with R is essential; Bash and Slurm experience is an asset.
Prospective students (thesis and graduate level) are encouraged to reach out and discuss research interest, fit, and growth at their earliest convenience.
