In collaboration with the Roussos Lab, we are primarily focused on developing methodologies for understanding the genetic basis of neuropsychiatric and neurodegenerative disorders.

Machine Learning

We frame biological problems using mathematical and statistical tools. Leveraging the wealth of single-nucleus and functional genomic data, we apply interdisciplinary approaches like statistical modeling and machine learning to interpret disease genomes.

ESPRNN Overview

Regulatory Networks and Dynamics

Integrative approaches can uncover meaningful patterns and rules from large data. We identify cis-regulatory elements, build gene regulatory networks, and discover regulatory dynamics during transcription.

Rewiring Schematic

Rewiring Highlight

Cellspace Highlight

Join Us

We are actively looking for a passionate computational biologist to join our adventure. To be considered, please submit a cover letter and CV to admin (at) leelaboratory (dot) org.

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