Caleb Geniesse

Graduate Student
Twitter
GitHub
Google Scholar
Email
geniesseobfuscate@stanford.edu

I’m a 5th year graduate student in the Brain Dynamics Lab. My research focuses on developing new computational methods for visualizing and quantifying fluctuations in brain dynamics using ideas from machine learning and topological data analysis.

Papers

A Data-Driven Latent Variable Approach to Validating the Research Domain Criteria (RDoC) Framework (2024). BioRxiv

Deconstructing the Mapper algorithm to extract richer topological and temporal features from functional neuroimaging data (2023). BioRxiv

NeuMapper - A scalable computational framework for multiscale exploration of the brains dynamical organization (2022). Network Neuroscience

Spontaneous and deliberate modes of creativity - Multitask eigen-connectivity analysis captures latent cognitive modes during creative thinking (2021). NeuroImage

Mining the Role of Design Reflection and Associated Brain Dynamics in Creativity (2020). Design Thinking Research

Generating dynamical neuroimaging spatiotemporal representations (DyNeuSR) using topological data analysis (2019). Network Neuroscience

Projects

Examining the neural basis of applied creativity in entrepreneurs

Only time will tell - a computational psychiatry approach to model temporal transitions in brain activity as a lens towards developing better diagnostic nosology for psychiatric illness

Understanding the role of design reflection (vs rumination) in creative thinking

Deciphering “ongoing” cognition using concurrent multimodal neuroimaging and continuous multitask paradigm