HERE is his LinkedIn resume. I am hoping you will inform your friends involved in hiring in science-related **IMAGE PROCESSING** about his violent tendencies:
https://www.linkedin.com/in/zachary-greenberg-78a46148
I am also simply pasting it below in raw text, since Mr. Greenberg’s rez will soon disappear for some time as a precaution:
Experience
Independent Contractor & Consultant
Image Processing, Computer Vision, HPC Software Engineer
Independent Contractor & Consultant
January 2018 – Present 1 year 3 months
-Building and deploying custom image processing, vision, machine learning/deep learning solutions for scientific, and industrial use cases (Health Care, Aerospace, Security).
-Performing R&D towards implementing and integrating cutting edge developments in computer vision (detection, segmentation, multiple-object tracking, activity recognition)
- Profiling and identifying data pipeline bottlenecks, translating and optimizing code for deployment on GPUs and multi-CPU clusters
-Devising custom hardware specifications and recommendations for real-time deployment
-End-to-end unit testing
I work with clients on-site and remotely. Please feel free to contact me if you have interest in working together on a project.
Planet.
Image Processing Software Engineer
Planet.
August 2016 – May 2017 10 months
San Francisco Bay Area
At Planet I worked with a team of software engineers and aerospace scientists building high performance GIS image processing, computer vision, and machine learning applications to operate over Planet’s unprecedented satellite imagery dataset spanning the entire Earth. Much of my work focuses on parallel programming implementations of associated algorithms on GPUs or other CPU multithreading frameworks (i.e. OpenCL, OpenMP, CUDA).
UCSF, Department of Neurosurgery
UCSF, Department of Neurosurgery
1 year 9 months
Imaging Specialist
UCSF, Department of Neurosurgery
July 2014 – October 2015 1 year 4 months
San Francisco Bay Area
In July 2014 I moved to the Department of Neurosurgery to work on advanced image processing projects, and collaborate with a team of clinicians at UCSF hospital to help improve pre-operative imaging for Epilepsy patients undergoing invasive (intracranial) monitoring prior to epilepsy surgery.
My work here involves image processing and analysis of multimodal imaging data sets, including diffusion weighted imaging (DWI) and tractography data, CT, PET, fMRI, angiography, perfusion ASL, integrated with intracranial electrophysiological (ECoG) data.
I am also working to implement advanced 3d data visualization, storage/management, and an automated imaging pipeline for these large multimodoal clinical data sets, using parallel programming and machine learning methodologies.
Imaging CORE Manager
UCSF
February 2014 – July 2014 6 months
San Francisco Bay Area
As Imaging Core Manager, I work to oversee, coordinate, and manage all aspects of the neuroimaging functions of the Memory and Aging Center (MAC) in conjunction with approximately 8 principle MAC investigators and the director of the center. Specifically, I’m responsible for the magnetic resonance imaging (MRI) component for more than a dozen basic clinical research studies and numerous ongoing clinical trials.
Currently, I’m working towards the development and implementation of a large-scale data management, processing, and analysis pipeline that includes mechanisms to routinely review the quality of research images, extract desired features for mathematical modeling of clinical and research data, and store complex hierarchical data on distributed cloud architectures using signal processing, parallel computing, and machine-learning approaches. In addition, I serve as the daily supervisor for Imaging CORE Associates, and assist with training of MAC investigators and their team members (post-doctoral fellows, research coordinators) in image processing and analysis.
In my spare time, I work with research groups in Neurology and Neurosurgery at Stanford and UCSF to pursue research leveraging intracranial recordings to study human neurophysiology and cognition.
Stanford University Medical Center
Research Assistant
Stanford University Medical Center
May 2013 – October 2013 6 months
Palo Alto, CA
My work with the Laboratory of Behavioral and Cognitive Neurology involved working on the development of sophisticated signal processing algorithms to improve multimodal imaging and stimulation techniques used in electrocorticography (ECoG) and electrical brain stimulation (EBS). I did programming for the lab (via python) to interface mobile eye-tracking devices with MATLAB scripts used for cognitive testing with neurosurgical patients in the Epilepsy Monitoring Unit, and worked independently to analyze intracranial data.
D’Esposito Lab, UC Berkeley
Research Assistant
D’Esposito Lab, UC Berkeley
August 2012 – May 2013 10 months
San Francisco Bay Area
Assisting in carrying out research examining graph theoretical metrics for measuring cerebral modularity in functional and resting-state brain networks. Study utilizes fMRI and DTI to explore small-world network properties of brain networks at rest, as well as those implicated in executing complex bimanual motor sequences and working-memory function.
Task programming; participant recruitment and scheduling; data collection, scripting for data management, analysis and interpretation.
Gazzaley Laboratory, University of California at San Francisco
Research Assistant
Gazzaley Laboratory, University of California at San Francisco
May 2012 – May 2013 1 year 1 month
San Francisco Bay Area
Assisting in carrying out a study investigating the neural markers of top-down modulation and cognitive training in a task of visuospatial attention. Study utilizes real-time EEG tracking of brain oscillations in tandem with non-invasive brain stimulation (tDCS) and brain machine interface (BMI) algorithms to enhance cognitive performance.
Designing MATLAB scripts for analysis, training and coordinating other RAs in EEG data collection.
SFSU Cognitive Psychophysiology Lab
Undergraduate Researcher
SFSU Cognitive Psychophysiology Lab
January 2011 – March 2013 2 years 3 months
San Francisco Bay Area
Carrying out independent research project exploring the neural signatures of online cognitive control processes during word comprehension using Event-Related Potentials (ERP) and analyses of spectro-temporal fluctuations in EEG.
Experimental design; task programming; recruiting, scheduling and running participants; training research assistants; scripting in EEGlab for data analysis.
SFSU Language Attention and Cognitive Engineering Laboratory
Lab Manager
SFSU Language Attention and Cognitive Engineering Laboratory
June 2011 – January 2013 1 year 8 months
Carried out an honors thesis experiment examining conscious and unconscious processes during speech production, and collaborated on a project examining the possibility that bilinguals posses advantages in conflict processing/task switching (see resultant article in press in Cognitive Psychology, Paap & Greenberg, 2013). Also trained research assistants in research methods and programming for experimentation.
Recruitment of research participants; designing and maintaining laboratory website; manuscript preparation and editing; managing multiple IRB protocols.
Education
San Francisco State University
San Francisco State University
Bachelor of Arts, Psychology
2008 – 2012
Completed coursework and honors research project in cognitive neuroscience, computer science (C++, Python, MATLAB), electrophysiology, and enrolled concurrently in graduate level work in brain imaging analysis at UC Berkeley.
Skills & Endorsements
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Certifications
Convolutional Neural Networks
Coursera, License CFL4P9GCFV85
Certificate of Completion of Machine Learning Coursework
Provided By Stanford University Through Coursera Inc.
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Coursera, License PGDW2UJBJWVD
Neural Networks and Deep Learning - via deeplearning.ai
Coursera, License K8XDDYVPFG4Z
Structuring Machine Learning Projects
Coursera, License H9JWYY2HXS9S
