My CV

Current position

2020

Data Scientist at Iterative, Inc.


Education

2019

PhD in Speech and Hearing Sciences, University of Washington

2016

MS in Neuroscience, University of Washington

2013

BA in Mathematics, Agnes Scott College


Work experience

2017-19

Doctoral research assistant, Institute for Learning and Brain Sciences, University of Washington

2017-18

Chief Scientist, Botnik Studios

2017

Lecturer, Department of Speech and Hearing Sciences, University of Washington

2016-17

Software developer, Virginia Merrill Bloedel Hearing Research Center, University of Washington

2016

Research associate, Department of Speech and Hearing Sciences, University of Washington

2014-16

Research assistant, Department of Otolaryngology, University of Washington

2010-13

Research assistant, Dynamical Neuroscience Laboratory, Georgia State University


Grants, honors & awards

2020

Young Scientist Award, Virtual Conference on Computational Audiology

2017-19

Auditory Neuroscience Training Grant, National Institutes of Health (T32)

2017

Top Scholar Award, University of Washington Department of Speech and Hearing Sciences

2014-16

Graduate Research Fellow, National Science Foundation

2016

Marie and Gordon Nobbs Award for Science Communication

2014

National Science Foundation Perfect Pitch Finalist

2013

Phi Beta Kappa

2009-13

Wasserman Scholar, Agnes Scott College

2012

Mathematics Association of America Student Award

2010

BRAIN Fellow, Neuroscience Institute, Atlanta


Special training

2017

Amazon Alexa Accelerator, TechStars

2015

International High Performance Computing Summer School

2014

Dynamical Brain Summer School, Allen Institute


Publications & talks

Dissertations

2019

“A multifactorial model of risk for dyslexia”, Graduate program in Speech & Hearing Sciences, University of Washington

2016

“Biophysical population models of the auditory nerve”, Graduate program in Neuroscience, University of Washington

2013

“Lines with p-adic geometry.”, Mathematics Department, Agnes Scott College

Peer reviewed articles

2019

O’Brien G.E., Yeatman J.D. “The necessity of a multiple deficit model of dyslexia”, Developmental science, under review

2019

Winn M.B., O’Brien G.E. “Flaws in spectral ripple stimuli for listeners with cochlear implants”, Ear and Hearing, under review

2019

O’Brien G.E., McCloy D.R., Yeatman J.D. “Categorical phoneme labeling in poor readers does not depend on stimulus duration”, Journal of the Acoustical Society of America

2019

DiNino S., O’Brien G.E., Bierer S.B., Jahn K., Arenberg J. “The estimated electrode-neuron interface in cochlear implant listeners is different for early-implanted children and late-implanted adults”, Journal of the Association for Research in Otolaryngology, ():1-13.

2018

O’Brien G.E., McCloy D.R., Kubota E.K., Yeatman J.D., “Reading ability and phoneme categorization”, Nature Scientific Reports 8:16842.

2017

Resnick J.M., O’Brien G.E., Rubinstein J.T. “Simulated spiral ganglion demyelination alters fiber sensitivity and response timing to extracellular stimulation”, Journal of the Association for Research in Otolaryngology 361: 121-137.

2015

O’Brien G.E. and Rubinstein J.T. “The development of biophysical models of the electrically stimulated auditory nerve: Single-node and cable models”, Network: Computation in Neural Systems 27(2-3): 135-156.

2015

O’Brien G.E., Immenov N.S., Rubinstein J.T. “Simulating electrical modulation detection thresholds using a biophysical model of the auditory nerve”, Journal of the Acoustical Society of America 139(5): 2448-2462.

2013

Barnett W., O’Brien G.E., Cymbalyuk G.S. “Bistability of silence and seizure-like bursting”, Journal of Neuroscience Methods 220(2): 179-189.

Invited talks

2019

“Building datasets from pop culture”, American Statistical Association’s Symposium on Data Science and Statistics

2019

“Data science in the senses”, Rev Data Science Leaders Summit

2019

“Multiple deficit models of dyslexia”, University of Washington Auditory Neuroscience Retreat

2019

“The necessity of a multi-deficit model of dyslexia”, Child Mind Institute

2019

“The necessity of a multi-deficit model of dyslexia”, Gatsby Computational Neurosicence Unit, University College of London

2019

“The necessity of a multi-deficit model of dyslexia”, Katholieke Universiteit Leuven

2018

“Creative content writing with generative language models”, Wieden+Kennedy Portland

2018

“Phoneme categorization and reading ability”, University of Washington Auditory Neuroscience Retreat

2017

“Measuring change detection and certainty in the auditory system”, Australian Hearing Hub

Conference presentations

2020

O’Brien G.E., “Packaging data and machine learning models for sharing”, SciPy 2020

2020

O’Brien G.E., “The technical burden of machine learning in computational audiology”, Virtual Conference on Computational Audiology

2020

O’Brien G.E., “Adapting continuous integration and continuous delivery for ML”, MLOps Production & Engineering World 2020

2020

O’Brien G.E., “Reimagining DevOps for ML”, DivOps 2020

2019

O’Brien G.E., “Generative Adversarial Network Self-Portrait”, NeurIPS Workshop on Machine Learning for Creativity and Design

2019

O’Brien G.E, Joon S.J., Yeatman J.D. “Motion sensitivity and perceptual decision making in developmental dyslexia”, Visual Sciences Society Meeting

2018

Botnik Studios, “You Can’t Take My Door”, NeurIPS Workshop on Machine Learning for Creativity and Design

2018

Winn M.B. and O’Brien G.E., “Time-series analysis of binaural perception and uncertainty using eye movements”, Acoustical Society of America

2018

O’Brien G.E., McCloy D.R., Kubota E.K., Yeatman J.D. (2018), “Investigating the relationship between reading skill and categorical perception of speech”, Acoustical Society of America

2017

O’Brien G.E., Parkinson W., Arenberg J., “Modeling current spread in a dynamically focused cochlear implant strategy.”, Conference on Implantable Auditory Prosthetics

2017

O’Brien G.E. and Winn M.B., “Aliasing of spectral ripples through CI processors: a challenge to the interpretation of correlation with speech recognition scores”, Conference on Implantable Auditory Prosthetics

2017

O’Brien G.E. and Winn M.B., “Theoretical evidence for lack of correspondence between spectral ripple parameters and output of the cochlear implant processor, and an alternate explanation for the correlation with speech perception scores”, Acoustical Society of America

2017

O’Brien G.E.“The trouble with reading machines: Exploring acoustic alphabets at Haskins Laboratories post World War II. “, Acoustical Society of America

2017

O’Brien G.E. and Winn M.B., “Uncertainty in binaural hearing linked to inherent envelope fluctuations”, Association for Research in Otolaryngology Midwinter Meeting

2017

O’Brien G.E., Parkinson W., Kreft H., Oxenham A.J., Bierer J.A., “Investigating vowel confusions in cochlear implant listeners with dynamic tripolar current focusing”, Association for Research in Otolaryngology Midwinter Meeting

2016

O’Brien G.E. and Winn M.B., “Uncertainty in binaural hearing linked to inherent envelope fluctuations”, Acoustical Society of America

2016

O’Brien G.E. and Winn M.B., “Uncertainty in binaural hearing linked to inherent envelope fluctuations”, Acoustical Society of America

2016

O’Brien G.E., DiNino M., Biesheuvel J.D., Briaire J.J., Frijns J.H., Bierer J.A., “Comparing auditory perceptual thresholds in pediatric and adult cochlear implant populations”, Acoustical Society of America

2015

O’Brien G.E., Immenov N.S., Rubinstein J.T., “Modeling individual differences in modulation detection”, Conference on Implantable Auditory Prosthetics

2015

O’Brien G.E., Immenov N.S., Rubinstein J.T., “Modeling individual differences in modulation detection”, International High Performance Computing Summer School

2015

O’Brien G.E., Immenov N.S., Rubinstein J.T., “Simulating cochlear implant modulation detection thresholds with a biophysical model of the auditory nerve”, COSYNE

2015

O’Brien G.E., Immenov N.S., Rubinstein J.T., “Novel application of a computational model of the distributed-diameter auditory nerve population for modulation detection thresholds”, Association for Research in Otolaryngology Midwinter Meeting

2014

O’Brien G.E., Bierer S.B., Shea-Brown E.T., Bierer J.A., “Improving a computational model of the cochlear implant”, Objective Measures Conference

2013

O’Brien G.E., Barnett W.H., Cymbalyuk G.S., “A cellular mechanism controlling duty cycle and phase relationships in central pattern generators”, Organization for Computational Neuroscience

2013

O’Brien G.E., Barnett W.H., Cymbalyuk G.S., “Cellular mechanisms of phase maintenance in the pyloric motif”, Southern Biomedical Engineering Conference

2013

Barnett W.H., O’Brien G.E., Cymbalyuk G.S., “A family of mechanisms controlling bursting activity and pulse-triggered responses of a neuron model”, Southern Biomedical Engineering Conference

2013

O’Brien G.E., Barnett W.H., Cymbalyuk G.S., “Cellular mechanisms of phase maintenance in the pyloric motif”, Spring Annual Research Conference, Agnes Scott College

2013

O’Brien G.E., “Lines with p-adic valuation”, Spring Annual Research Conference, Agnes Scott College

2012

Barnett W.H., O’Brien G.E., Cymbalyuk G.S., “A cellular mechanism controlling duty cycle and phase relationships in central pattern generators”, Society for Neuroscience

2012

Barnett W.H., O’Brien G.E., Cymbalyuk G.S., “Bistability of seizure-like bursting and silence”, Organization for Computational Neuroscience

2012

Tobiasz H., O’Brien G.E., McCartha S., “Geometry in hidden places”, Spring Annual Research Conference, Agnes Scott College

2011

Barnett W.H., O’Brien G.E., Cymbalyuk G.S., “Bistability of silence and seizure-like bursting”, Society for Neuroscience

2011

O’Brien G.E., Barnett W.H., Cymbalyuk G.S., “Bistability of seizure-like activity and silence in leech heart interneurons”, Center for Behavioral Neuroscience symposium


Teaching

Courses

2017

Instructor, University of Washington, The Nature of Sound. An undergraduate course about physics, acoustics, and signals.

Guest lectures

2019

University of Washington, lecture on classifiers for an introductory machine learning seminar

2019

University of Washington, lecture on principal components analysis for a computational neuroscience seminar series

2019

University of Washington, lecture on causal modeling for a graduate class of clinicians-in-training.

2018

University of Washington, lecture on machine learning methods for scientists in a departmental graduate seminar

2017

University of Washington, lecture on beginning to program for scientists in a departmental graduate seminar