SHORT PROFILE

• Researcher in computational psychiatry and model-based neuroscience

• Bridging clinical neuroscience, mathematical psychology, and behavioral economics

• Skilled in integrative testing across cognitive and social-cognitive domains

• Proficient in combining EEG and eye-tracking with advanced modeling techniques and experiments

• Versatile in analyzing experimental data across clinical and non-clinical settings and across species

• Deep expertise in statistics (Bayesian & Frequentist), machine learning, and modeling across analytical levels

• Entrepreneurially inclined with a decade of industry experience in finance and consulting

• Self-driven first-generation academic and college student

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My unique combination of expertise in computational modeling, neuroscience, psychology, and game-theory economics, supplemented by clinical experience and industry-honed leadership and project management skills, positions me distinctively for spearheading innovative research in Cognitive Neuroscience and Computational Psychiatry. Throughout my graduate studies, I have effectively self-funded my research through multiple fellowships. My work has primarily focused on bridging gaps in neurocognitive testing for ADHD, where I have developed and piloted mechanistic tasks integrating physiological measures such as eye-tracking and EEG. This endeavor also involved the creation of custom hardware and software solutions. My research endeavors are evidenced by a robust publication record, underscoring my dedication to ADHD research alongside my postdoctoral responsibilities.

​In my postdoctoral role, I have applied my computational modeling expertise to multiple Conte Center grants focused on neurocognitive testing for depression, bipolar disorder, and obsessive-compulsive disorder. Additionally, my work with intracranial recordings in Parkinson’s disease patients has significantly deepened my understanding of the basal ganglia's role in cognitive control. Overall, I have gained experience in various computational modeling approaches across multiple cognitive domains and from clinical and non-clinical datasets and across species.

As dedicated first-generation academic, I focus on theory-driven and model-based research with foundational and applied components. I am aspiring to a professorship where I can lead cross-disciplinary research teams. My program will bridge various academic fields and foster partnerships across different departments and institutions. It will also extend to collaborations with industry and societal stakeholders to translate research into practical solutions.