Tim Mullen
General Partner at Yuna.io
San Diego, California, United States
Summary
👤
Senior🎓
Top SchoolTim Mullen is a computational and cognitive neuroscientist, entrepreneur, and investor who has spent over two decades translating brain science into scalable neurotechnology products and companies. As founder and Research Director of Intheon he built NeuroScale, a real-time cloud platform for biosignal processing and BCI integration, and he also leads Sanmai in pioneering focused ultrasound therapies for mental health. His work spans academia, industry, and standards bodies—contributing to widely used open-source toolkits (EEGLAB, SIFT, LSL, XDF) and helping establish the first commercial consumer EEG standard through IEEE/ANSI. A dual UC Berkeley undergraduate (highest honors) and UCSD Ph.D., he has held research roles with NASA, DARPA, Meta Reality Labs, and PARC while earning multiple fellowships and IEEE best paper awards. Beyond tech, Tim is an active new media artist and musician whose interactive installations fuse BCMI with themes of consciousness and nature, reflecting a rare blend of rigorous science and creative practice. He also invests and advises across neurotech and frontier mental health, bringing a practitioner’s eye to ethical, clinical, and product translation challenges.
13 years of coding experience
10 years of employment as a software developer
Bachelor of Arts (B.A.) Highest Honors Computer Science Cognitive Neuroscience (double major), Bachelor of Arts (B.A.) Highest Honors Computer Science Cognitive Neuroscience (double major) at University of California, BerkeleyUniversity of California, San Diego
Github Skills (28)
simulation10
visualization10
computational-neuroscience10
preprocessing10
toolbox10
electrophysiology10
user-interface10
causality10
gamma10
graphical-user-interface10
connectivity10
sift10
data-preprocessing10
neuroscience10
neural10
Programming languages (3)
Github contributions (5)
sccn/SIFT
Jun 2012 - Nov 2018
SIFT is an EEGLAB-compatible toolbox for analysis and visualization of multivariate causality and information flow between sources of electrophysiological (EEG/ECoG/MEG) activity. It consists of a suite of command-line functions with an integrated Graphical User Interface for easy access to multiple features. There are currently six modules: data preprocessing, model fitting and connectivity estimation, statistical analysis, visualization, group analysis, and neuronal data simulation.
Contributions:345 commits, 2 comments in 6 years 6 months
neurosciencedata-preprocessingsiftconsistssimulation
sccn/BCILAB
Aug 2013 - Mar 2014
Contributions:10 commits in 6 months
brainmatlab-toolboxmatlabbrain-computer-interfacetoolbox
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