I was the data science lead in the Soltesz lab as part of a cross-institution effort to understand the mechanisms of memory. My goals are to unify and improve data storage, sharing and analysis across the four labs involved in the project. I am using Neurodata Without Borders to unify data representation across electrophysiological experiments, optical physiology experiments, and simulations. I am unifying analyses across the labs in MATLAB and python and developing them to run in parallel on high performance super-computers.

As a data science consultant for Lineage Logistics, I contributed to optimization of operations across their network of over 100 cold storage warehouses. My projects brought mathematical and technological rigor to common problems in the field. My projects for them have included:* analysis of solar power technologies are an energy resource* analysis of new refrigeration technologies designed to increase refrigeration efficiency* simulation of an automatic robotic warehouse* transportation optimizationI primarily use the python data science tools (pandas, scipy, matplotlib, jupyter)

I received my PhD from the UCSF and UC Berkeley Joint Program in Bioengineering for my research in Dr. Edward Chang's lab studying the neural control and perception of speech. With the help of neurosurgical patient volunteers, we monitored neural activity while our subjects perform linguistic tasks related to perception of language and controlling the articulators during speech. My role in the lab spanned many levels. I coordinated with the hardware company that supplies our recording equipment, providing quality control for the lab and communicating the needs and goals of the lab. I interfaced with the clinical team, helping them provide the best possible care to the patients. I developed and was responsible for the lab's shared preprocessing code. I developed features throughout my PhD to accommodate the changing needs of the lab, and I taught new members and collaborators how to use our analysis tools. Through this work, our lab has achieved a standardization of preprocessing workflow in the lab, which facilitates collaboration and accelerates scientific discovery.Publications:Dichter BK, Breshears JD, Leonard MK, Chang EF (2018) “The Control of Vocal Pitch in Human Laryngeal Motor Cortex.” Cell.Dichter BK, Bouchard KE, Chang EF (2016) “Dynamic Structure of Neural Variability in the Cortical Representation of Speech Sounds.” Journal of Neuroscience.Makin JG*, Dichter BK*, Sabes PN (2015) Learning to Estimate Dynamical State with Probabilistic Population Codes. PLoS Computational Biology.

I provided one-on-one mentoring for high school students in AP Physics, AP Calculus, AP Statistics, and Geometry.

Used MATLAB to help develop an algorithm that uses recordings from ECOG arrays chronically implanted in humans to predict seizures in people with epilepsy. Skills learned: signal processing, machine-learning, and parallel computing using MATLAB.

I analyzed electrophysiological neural recordings in monkeys to investigate the computations performed in the Primate Dorsal Premotor Cortex. I used statistical methods to test for correlation between neural firing rate and eye position.