Daniel Handwerker
Staff Scientist at National Institute of Mental Health (NIMH)
Silver Spring, Maryland, United States
Summary
👤
Senior🎓
Top SchoolDaniel Handwerker is a Staff Scientist and PhD bioengineer with 11+ years at NIMH advancing practical, reliable fMRI for clinical and research use. He combines neuroscience, cognitive psychology, MRI physics, and computer science to develop methods that separate vascular and neural signals and reduce non-neural variability across populations. His work spans study design, resting-state connectivity, and bridging DTI and fMRI measures, informed by prior postdoctoral research at UCSF and Berkeley. A hands-on analyst and organizer, he has led cross‑institute groups and directly supervised staff while rapidly adopting new computational tools. Based in Silver Spring, MD, he focuses on removing systemic noise from fMRI data to make population-level comparisons more robust. Colleagues rely on him for pragmatic solutions that turn complex imaging challenges into reproducible workflows.
11 years of coding experience
Ph.D., Bioengineering, Ph.D., Bioengineering at University of California, BerkeleyJohns Hopkins University
Github Skills (62)
mri10
biology10
computational-neuroscience10
preprocessing10
python10
echo10
signal-processing10
brain-imaging10
image-processing10
electrophysiology10
imaging10
data-structure10
connectivity10
bids10
neuroscience10
Programming languages (8)
Github contributions (5)
handwerkerd/tedana
Jul 2018 - Apr 2025
TE-dependent analysis of multi-echo fMRI
Contributions:1 PR, 427 pushes, 85 branches in 6 years 9 months
connectivitypythonfmimlsphonetics
nih-fmrif/SFIM_ME
Nov 2015 - Dec 2017
Contributions:6 commits, 1 push, 2 comments in 2 years 1 month
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.