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Hi, my name is David

I am a Computational Neuroscientist 🧠 seeking positions as an ML Engineer. Through my research, I study reinforcement learning in both real and artificial neural networks. I am particularly facinated by Deep Q-Learning and its applications in robotics and medicine

Welcome to my code repository!

πŸ‘¨β€πŸ”¬ Active Research Projects:

- On PFC threat processing --> Coming soon

πŸ‘¨β€πŸ’» Active Code Repositories:

- BrainBeam πŸ”¦ - a cloud computing pipeline for analyzing whole-brain lightsheet datasets at petabyte scale - [BrainBeam Full-Stack (in progress) ]() - [BrainBeam Backend (finished) ]()
  • TwoPhoton πŸ”¬ - python API for analysis of suite2P outputs.

  • LinReg - Toolkit containing R and SAS functions/scripts for generalized linear mixed models, linear mixed models, linear models. Contains functions for plotting.

  • DeepLabCut based pipelines - Scripts for analyzing outputs of DeepLabCut, a pose-estimation software.

  • TMT_BEHAVIOR - Pipeline for simultaneous collection of raspberry-pi camera data.

    • An inexpensive recording system for recording video data simultaneously across many hours
  • pMAT (forked into my repo "photometry"). - A guided user interface for analysis of fiber photometry data.

    • Please see pMAT for our original code
    • My repo "photometry" is forked from pMAT and is meant to be run in cloud via SLURM.

πŸ‘¨β€πŸ’» Miscellaneous Code Repositories:

- CellQuant πŸ”¦ - a cloud computing pipeline for analyzing whole-brain lightsheet datasets at petabyte scale - [BrainBeam Full-Stack (in progress) ]() - [BrainBeam Backend (finished) ]()
  • cuda_gpu_tools πŸ”¬ - A few scripts for monitoring gpu usage.

  • Tension Reader 🐢 - Python script for recording tension data for dogs via pi zero device.

πŸ“° Published Research Projects

My previous research studied reinforcement learning by eulcidating how natural neural networks guide deicion making in rodents. This entailed recording neuronal activity from real neuronal circuits and then interpreting them through often complex analyses.
  • Signal Processing of Brainwave data (aka Calcium Fiber photometry)

    • pMAT
    • VTA glutamatergic neurons mediate innate defensive behaviors
    • Distinct Signaling by Ventral Tegmental Area Glutamate, GABA, and Combinatorial Glutamate-GABA Neurons in Motivated Behavior
    • Regulation of social interaction in mice by a frontostriatal circuit modulated by established hierarchical relationships
    • A stress-sensitive frontostriatal circuit supporting effortful reward-seeking behavior
    • Lateral preoptic area glutamate neurons relay nociceptive information to the ventral tegmental area
  • Analysis of single-unit neuronal recording data (in vivo electrophysiology & in vivo two-photon imaging)

    • Aversion or salience signaling by ventral tegmental area glutamate neurons
    • Acquired Alterations in Nucleus Accumbens Responsiveness to a Cocaine-Paired Discriminative Stimulus Preceding Rats’ Daily Cocaine Consumption
  • Analysis of behavior

    • Emergence of negative affect as motivation for drug taking in rats chronically self-administering cocaine

🀳 Connect with me:

djestrin's Projects

brainbeam icon brainbeam

An open-source app for analyzing large scale mouse brain light sheet microscopy datasets.

peridlc icon peridlc

Repository which utilizes the DeepLabCut (DLC) API in order to analyze video data on SLURM based cluster

r icon r

Repository containing R scripts/functions used to generate statistics and figures for scientific papers

spine icon spine

ML dendritic spine counting

stressdqn icon stressdqn

Study of Deep Q-Learning network (DQN) synaptic weights while playing Atari

tmt_behavior icon tmt_behavior

Python code for parsing TMT behavior from deeplabcut tracked videos

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