I am a systems neuroscientist examining how sensorimotor information is integrated across brain regions.
My PhD work was performed with Matt Wachowiak at the University of Utah.
My postdoctoral research was perfomed with Diego Restrepo and Abigail Person at the University of Colorado, Anschutz Medical Campus.
My work and experience has relevance in the fields of:
As a Core Director, I oversee the creation of the Software Development Core at the University of Utah. I form strategic partnerships with academic clients in order to deliver customized software products and services.
As a Senior Data Scientist, I worked in collecting, verifying, and analyzing large datasets collected by the Torque3 platform. Such datasets track a rider's sensorimotor input, game engine output, and biometric variables across different virtual environments. I also formed relationships with academic and clinical collaborators in order to get data-driven results using the Torque3 platform.
As part of the product team in the role of Technical Product Manager, I was tasked with leading and integrating Torque3 platform systems across various engineering, manufacturing, game development, and clinical research teams. This led to successful safety and efficacy results from our first functional evaluation which provided Torque3 the confidence to go stealth.
As an IT Specialist with the Department of Mathematics at UCR contracted through Computing and Communications department, I was in charge of IT support catered specifically for Math staff, faculty, and students. I performed various IT duties from network troubleshooting, server maintainence, and overseeing departmental backup solutions, to computer builds/repair, to computer lab maintainence.
Summary: Electrophysiology and optical imaging are both parallel neurotechnologies used for studying neural activity. However, researchers tend to adopt one technology over the other with substantial limitations to either one. Why not combine both? As part of the CU Neurophotonics team at CU Anschutz, we designed and tested a device, capable of recording population data and single-cell responses simultaneously in head-fixed or freely moving rodents; the GRINtrode. We hope to ultimately utilize this technology in studying neural dynamics across brain regions during odor plume navigation.
Summary: We dissected the underlying sources of excitatory drive onto mitral/tufted cells in vivo using pharmacological methods. Surprisingly, we found a maintenance of glutamatergic drive onto these cells when blocking postsynaptic excitation, suggestive of a majority of feedforward excitation being driven in vivo by sensory input rather than previously-hypothesized, postsynaptic circuitry.
Summary: Here, we used novel glutamate indicators to image the excitatory input onto dendrites of bulbar output cells (mitral/tufted cells). We found that odor-evoked, glutamatergic drive is diverse. This paper was the first to characterize second generation SF-iGluSnFRs with a high-throughput olfactometer and captured odor-evoked, glutamate/calcium dynamics simultaneously in the mammalian olfactory bulb in vivo.
The cerebellum sits at the back of the brain, where its main function is to predict sensorimotor stimuli and sculpt behavior in response. By studying the cerebellum, many systems neuroscientists can glean new predictive mechanisms used by the brain to intepret theoretical underpinnings of sensorimotor correction. Olfaction involves adaptive, sensorimotor tracking of scented plumes in a ever-changing environment. How are olfactory positional cues incorporated within cerebellar circuits for precise motor output? Investigating this question was the crux of my postdoctoral work. Ultimately findings from such work can influence work from applying predictive behavior in neural networks to developing novel robotics for chemosensory detection.
Odors are complex and hard to identify. How the brain can encode the identity of an odor is not well understood. In particular, the area that processes smell; the olfactory bulb, has many microcircuits to decode odor identity that are dependent on synaptic signaling. While the microcircuitry function of this area of the brain through excitatory neurotransmission has been analyzed in brain slices, it remains unknown if an odor drives postsynaptic excitation in one synaptic "hop" or two. Here we used novel sensors of the excitatory neurotransmitter; glutamate, to dissect the contributions of such microcircuitry and found that the one-hop hypothesis is likely correct.
Network criticality is a measurement of how optimized a network is for information transfer. However, not much is known about how network criticality changes during active sampling. Myself and another Math PhD student, Jacob Madrid, have set out to explore network changes in criticality during sniffing and whisking.