STEFAN BERTEAU, Ph.D.
|
202-213-0312 stefan@berteau.science |
|
||||
|
Education |
||||||
|
|
Boston
University, Department of Cognitive and Neural Systems (2008-2018) Key coursework in the neural basis of
vision, audition, motor control, learning, and reward, plus nonlinear
mathematics, multivariate statistical analysis, developmental neurobiology,
electrophysiology, and systems neuroscience. FAES
Graduate School at the National Institutes of Health (2006-2007) Basic Human Neuroanatomy, including
anatomy lab work under Miles Herkenham on human brains and spinal cord
segments, and observation experimental brain surgeries from alongside the
surgeon. American
University, College of Arts and Sciences (1998-2002) Key coursework in Graphic Design,
User Interface Design, Sound Design, Typography, AI Programming, 2D/3D
Graphics Programming Workshops and Certifications NIH Human Subjects Certification Fast Optical Imaging Summer Workshop
at the Beckman Institute, University of Illinois at Urbana-Champaign
|
|||||
|
PUBLICATIONS, PRESENTATIONS,
and PATENTS |
||||||
|
|
Publications Berteau, S. A. (2018). Modeling
biophysical and neural circuit bases for core cognitive abilities evident in
neuroimaging patterns: hippocampal mismatch, mismatch negativity, repetition
positivity, and alpha suppression of distractors (Doctoral dissertation). Berteau, S., & Bullock, D.
(2020). Simulations reveal how M-currents and memory-based inputs from CA3
enable single neuron mismatch detection for EC3 inputs to the CA1 subfield of
hippocampus. Journal of Neurophysiology, 124(2), 544-556. Wagner-Carena, J. A., Kate, S.,
Riordan, T., Abbasi-Asl, R., Aman, J., Amster, A., ... & Berteau, S.
(2025). Hebb's Vision: The Structural Underpinnings of Hebbian
Assemblies. bioRxiv, 2025-04. https://doi.org/10.1101/2025.04.24.649900 (In Review at Neuron) Berteau, S.,
& Armitano, E. “A Novel Adult-Onset, Progressive MAO-A
Hypofunction”. In submission to
Clinical Autonomic Research, copy available upon request Berteau, S.,
J. Albers., J. Dorkenwald, S., Zhang, Z., Mihalas., S. “The statistical
connectome of the mouse primary visual cortex”. In preparation. Significant Talks October 2024, Center for Data Driven Discovery for Biology
(D3B): “Extraction of Statistical Connectomes from Large-Scale Datasets“ December 2016 Colgate University Invited Speaker, “Your
Brain on Music: Novelty, Dopamine, and Computer Modeling: A simple proposed
artificial neural network capable of modeling the human response to an
aesthetic pattern” August 2016 Google Brain Invited
Speaker, “Expectation, Surprise, and Recontextualization in Music” 2015 Inter-Science of Learning Center
(iSLC) Annual Meeting, “How to be a critical reader of Neuroscience Articles” SecureIT 2004, and other conferences,
“Spyware, Uninvited and Unwanted” Posters 2024 Society for Neuroscience:
“Discrete Cell Assembly Structure in Mouse Visual Cortex”, Wagner-Carena, J.,
Kate, S., Berteau. S., Mihalas, S. 2020 SFN Crossroads, “Voltage Based
Spike-timing Dependent Myelin Plasticity”, with Arash Yazdanbakhsh 2015 Cognitive Neuroscience Society
Annual Meeting, “A Mechanistic Model of Alpha-Induced Information
Suppression” 2014 Computational and Systems
Neuroscience (Cosyne) Annual Meeting, “Alpha coherence networks and the
prerequisites for communication in simulated cortex” 2013 Cognitive Neuroscience Society
Annual Meeting, “A Biophysical Perspective on Cortical Comparators in
Mismatch Negativity” 2012 Society for Neuroscience Annual
Meeting, “Changes in Mnemonic Activity Drive Task-Dependent Alpha Band
Oscillations: A Network Model for Effective Ignoring” 2011 Society for Neuroscience Annual
Meeting: “Network analysis in EEG source-space of the dynamics that support
intentional ignoring of visual stimuli” Patents: Berteau, Stefan A. 2012. “System and
Method for Bayesian Text Classification”. U.S. Patent 8,103,110, filed May
15, 2008, and issued January 24, 2012 Berteau, Stefan A.; Grucz, Michael
L.; Goldsmith, Kevin C. 2012. “System and Method for Identifying a Cookie as
a Privacy Threat”. U.S. Patent
8,196,176, filed April 16, 2008, and issued June 5, 2012 |
|||||
|
RESEARCH EXPERIENCE |
||||||
|
|
Allen Institute for Brain Research, Seattle WA Center for Data Driven Discovery,
Research Scientist I (May 2021 – May 2025) Large scale models of structure-function relations in
reconstructed neocortical tissue Large-scale dynamical systems modeling using PyTorch EM segmentation, reconstruction, and coregistration Mentoring three advisees, taking them from internships
through the creation of a joint project as visiting research scientists,
culminating in their being the primary and secondary authors of original
publishable research (Wagner-Carena et al, above). Boston University, Boston MA Barbas Lab, Postdoctoral Research
Fellow (January 2019 – February 2020) Performed NIH funded research
analyzing experimental data and creating mathematical models of prenatal
neocortical development and cortico-cortical connection formation. Worked with neuroanatomists to model
the subplate’s role in guiding inbound cortico-cortical axons in utero. Harvard University, Cambridge MA General Education Department,
Teaching Fellow (October 2017- January 2019) Automated requirement evaluations for
the General Education Department. Directed archival work, assisted in
course and student record evaluations.
Department
of Psychology, Visiting Research Scientist (March 2011 – 2017) Performed NSF and NIH funded research
analyzing experimental data on and creating mathematical models of alpha
oscillations. Prototyped novel methods of analysis,
including a method of analyzing EEG coherence networks while preserving phase
information and a novel application of superparamagnetic clustering Constructed the first computational
model of the role of alpha oscillations in intentional ignoring Boston University, Boston MA Department
of Cognitive and Neural Systems Research Assistant and Teaching Fellow (September
2008 – Present) Performed NSF funded research
designing experiments and constructing models of cortical development,
learning, expectation formation, and reward systems in the brain Worked with complex systems
consisting of dozens of interconnected differential equations Directed and designed my own plan of
research Programed and piloted experimental
studies using eye trackers and EEG Teaching Fellow for a graduate-level
course in vision science. Led
discussion sections, designed grading criteria and evaluated projects and
exams Programmed simulations in Python, C,
and Matlab CA (Formerly Computer Associates) and
HCL Technologies, Herndon, VA Senior Research Engineer, Malware
Threat Research (February 2004 – May 2009) Authored industry standards as CA’s
founding representative in the Anti-Spyware Coalition Applied Bayesian statistics to the
classification of EULAs Designed economic models used to
predict the future behavior of spyware authors Researched and prototyped automated
categorization and detection of software threats, including analysis of
complex peer-to-peer botnets via network tomography. Reverse-engineering complex malicious
applications including kernel-mode driver code Negotiated enhanced privacy practices
with high-profile companies such as Apple, Sony/BMG, Facebook, and Paypal Tracked and countered hostile state
actors, including during the invasion of Georgia in 2008 Addressed conferences, U.S.
Congressional committees, and state legislatures as media/legislative
spokesperson Managed teams of up to five
individuals to accomplish the tasks listed above |
|||||
|
|
|
|||||
|
REFERENCES
|
||||||