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Michael Buice Email & Phone Number

Associate Investigator at Allen Institute
Location: Seattle, Washington, United States 6 work roles 2 schools
1 work email found @alleninstitute.org LinkedIn matched
✓ Verified August 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email

Work email m****@alleninstitute.org
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Current company
Role
Associate Investigator
Location
Seattle, Washington, United States
Company size

Who is Michael Buice? Overview

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Quick answer

Michael Buice is listed as Associate Investigator at Allen Institute, a with 624 employees, based in Seattle, Washington, United States. AeroLeads shows a work email signal at alleninstitute.org and a matched LinkedIn profile for Michael Buice.

Michael Buice previously worked as Associate Investigator at Allen Institute For Brain Science and Assistant Investigator at Allen Institute For Brain Science. Michael Buice holds Phd, Physics from University Of Chicago.

Company email context

Email format at Allen Institute

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*@alleninstitute.org
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AeroLeads found 1 current-domain work email signal for Michael Buice. Compare company email patterns before reaching out.

Profile bio

About Michael Buice

Theoretical and computational neuroscientist with a PhD in Theoretical Physics with extensive experience in computational modeling, data analysis, algorithm development, and machine learning in a collaborative interdisciplinary environment.

Listed skills include Physics, Scientific Computing, Mathematical Modeling, Machine Learning, and 8 others.

Current workplace

Michael Buice's current company

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Allen Institute
Allen Institute
Associate Investigator
seattle, washington, united states
Employees
624
AeroLeads page
6 roles · 8 years

Michael Buice work experience

A career timeline built from the work history available for this profile.

Research Scientist

University Of Texas At Austin
Feb 2011 - Nov 2012

Irta Postdoctoral Researcher

National Institutes Of Health

Bethesda, Md

I developed novel methods for analyzing and computing population behavior of complex networks, in particular coupled neural networks. This work was primarily mathematical, relying on mathematical techniques from quantum field theory. Various numerical simulations for verification of analytic results were written in C or C++. This work was done in collaboration with Carson Chow.

Nov 2005 - Jan 2011
Team & coworkers

Colleagues at Allen Institute

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2 education records

Michael Buice education

Phd, Physics

Activities and Societies: American Physical Society University of Chicago Aikido Club

B.S./B.A., Physics/Mathematics

Activities and Societies: Phi Eta Sigma Pep Band SUNY at Buffalo Undergraduate Physics Club (President)

FAQ

Frequently asked questions about Michael Buice

Quick answers generated from the profile data available on this page.

What company does Michael Buice work for?

Michael Buice works for Allen Institute.

What is Michael Buice's role at Allen Institute?

Michael Buice is listed as Associate Investigator at Allen Institute.

What is Michael Buice's email address?

AeroLeads has found 1 work email signal at @alleninstitute.org for Michael Buice at Allen Institute.

Where is Michael Buice based?

Michael Buice is based in Seattle, Washington, United States while working with Allen Institute.

What companies has Michael Buice worked for?

Michael Buice has worked for Allen Institute, Allen Institute For Brain Science, University Of Texas At Austin, and National Institutes Of Health.

Who are Michael Buice's colleagues at Allen Institute?

Michael Buice's colleagues at Allen Institute include Matthew Davis, Melissa Reding, Laila E, Bansari Patel, and Nakul Jadon.

How can I contact Michael Buice?

You can use AeroLeads to view verified contact signals for Michael Buice at Allen Institute, including work email, phone, and LinkedIn data when available.

What schools did Michael Buice attend?

Michael Buice holds Phd, Physics from University Of Chicago.

What skills is Michael Buice known for?

Michael Buice is listed with skills including Physics, Scientific Computing, Mathematical Modeling, Machine Learning, Neural Networks, Statistical Mechanics, Quantum Field Theory, and C.

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