Michael McCamy

Background

About Michael McCamy

I received my PhD in mathematics from Arizona State University (ASU) in 2010, upon completing an interdisciplinary project in mathematics and visual/oculomotor neuroscience. Then I was a Postdoctoral Scholar for 4 years at Barrow Neurological Institute (BNI), in visual and oculomotor neuroscience. During my time at ASU and BNI I learned to apply my knowledge of mathematics, neuroscience, programming, and experimental design (psychophysics/eye-tracking, human factors, neurophysiology) to theoretical as well as real world problems. My meticulous approach to research has resulted in twenty peer reviewed publications and one patent. I am an expert in Matlab, have advanced C++ skills (object-oriented design), and high-performance computing experience (running simulations of network responses in primary visual cortex). Finally, throughout my tenure at BNI, I have been a main contributor to building sophisticated data analysis tools (for human and monkey data: eye movements, perceptual responses, electrodermal activity, heart rate, respiration rate, and neural spike trains) and graphical user interfaces used by the entire lab. Subsequent to my Postdoctoral research, I became a Research Staff Member at NeuroMentix, where I conducted DARPA funded research developing a new class of general purpose artificial intelligence inspired by the brain. During this DARPA funded research, I used C++ to program a virtual robot with 13,289 sensors and 24 muscles that allow the robot to sense (touch, pain, stretch), visualize, and behave (hands, arms, eyes, whole body, mouth) effectively in a 2D virtual environment with physics simulated using Open Dynamics Engine. Additionally, I built a communication interface between the virtual robot and the spiking neural network simulator Nest, allowing sensory and motor neurons in Nest to serve as the entry and exit points for sensory and muscle command signals to and from an artificial brain (the key piece of research we were developing) built in Nest. I am currently a Senior Quantitative Research Scientist at QuantLab where I conduct research and quantitative development in fully automated high-frequency/low-latency trading.