Freymon Perez Paulino

Freymon Perez Paulino is a data analyst for the AI, Risk, and Contemplative Science (ARC) Lab in the Center for Data Analytics, Innovation, and Rigor (DAIR) and for the Multi-modal Brain/Body Imaging (MoBI) core in the Center for Strategic Data Initiatives (SDI) at the Child Mind Institute. In the ARC Lab specifically, Perez applies data science and software engineering methods that use large language models (LLMs) to the assessment of mental health. For MoBI, his responsibilities include data handling and analysis, implementing and updating data quality assurance protocols, assisting with the maintenance of multimodal databases, as well as testing and evaluating data processing and feature extraction protocols.

Perez earned his bachelor’s degree in neuroscience from Hamilton College. He also worked as a research assistant at the New York State Psychiatric Institute. Throughout his academic and professional journey, he has cultivated expertise in multiple domains including opioid use disorder, adherence to good clinical practice standards, animal research methodologies, pharmacogenetics, and more.

Perez’s varied research background has given him experience with a range of data modalities, which he hopes to combine with his computational expertise to bring about new insights — and ultimately new treatments — for neurodevelopmental disorders.

• Research Assistant, New York State Psychiatric Institute

• BA, Neuroscience, Hamilton College