Deepak Singla
PhD Candidate In Bioengineering
United States
Summary
👤
Senior🎓
Top SchoolDeepak Singla is a multidisciplinary neuroscientist-engineer and PhD candidate in Bioengineering at UCLA with 9 years of research experience and 4+ years specializing in in vivo electrophysiology, neural decoding, and adaptive closed-loop neuromodulation. He has led projects that combine single-unit and population analyses with real-time ML-based pose tracking to deliver millisecond-scale, gait-phase-triggered optogenetic stimulation in Parkinson’s mouse models. His work revealed complementary roles of motor cortex and dorsomedial striatum in locomotion preparation and execution, and demonstrated how dopamine depletion selectively disrupts gait-phase encoding. Comfortable across wet lab, hardware, and computational domains, Deepak builds reliable, low-latency systems grounded in fundamental locomotor control principles to advance BCI and neuromodulation translation. An experienced mentor and educator, he also develops curriculum and supports undergraduate research pipelines, bringing both technical depth and a knack for making complex neural-signal concepts accessible.
9 years of coding experience
Indian Institute of Technology Delhi (IIT Delhi)Doctor of Philosophy - PhD, Bioengineering, Doctor of Philosophy - PhD, Bioengineering at University of California, Los Angeles
Github Skills (40)
udev6
lua6
kd-tree6
aravis6
approximate6
neighbors5
locality-sensitive-hashing5
v4l25
disk5
camera5
nearest-neighbors5
python5
binder4
golang4
nipype4
Programming languages (3)
Github contributions (5)
singlakdeepak/funcConn
Sep 2017 - Sep 2018
Contributions:130 commits, 127 pushes, 1 issue in 1 year
singlakdeepak/Wiki
Aug 2017 - Jul 2020
Contributions:30 pushes, 1 branch in 2 years 11 months
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.