Fernando Pérez
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Fernando Pérez Email & Phone Number

Co-Founder and CTO at AIMATX
Location: Oakland, California, United States 6 work roles 2 schools
1 work email found @aimatx.ai 6 phones found area 408, 951, 707, and 831 LinkedIn matched
✓ Verified May 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email · 6 phones

Work email f****@aimatx.ai
Direct phone (408) ***-****
LinkedIn Profile matched
3 free lookups remaining · No credit card
Current company
Role
Co-Founder and CTO
Location
Oakland, California, United States
Company size

Who is Fernando Pérez? Overview

A concise factual answer block for searchers comparing this professional profile.

Quick answer

Fernando Pérez is listed as Co-Founder and CTO at AIMATX, a company with 6 employees, based in Oakland, California, United States. AeroLeads shows a work email signal at aimatx.ai, phone signal with area code 408, 951, 707, 831, and a matched LinkedIn profile for Fernando Pérez.

Fernando Pérez previously worked as Associate Professor at Department Of Statistics, Uc Berkeley and Assistant Professor at Department Of Statistics, Uc Berkeley. Fernando Pérez holds Phd, Physics from University Of Colorado Boulder.

Company email context

Email format at AIMATX

This section adds company-level context without repeating Fernando Pérez's masked contact details.

*@aimatx.ai
71% confidence

AeroLeads found 1 current-domain work email signal for Fernando Pérez. Compare company email patterns before reaching out.

Profile bio

About Fernando Pérez

Data science, interactive computing, software development, applied mathematics, numerical algorithms, scientific computing, interactive parallel systems.

Listed skills include Scientific Computing, Python, Numerical Analysis, Algorithms, and 17 others.

Current workplace

Fernando Pérez's current company

Company context helps verify the profile and gives searchers a useful next step.

AIMATX
Aimatx
Co-Founder and CTO
Oakland, CA, US
Website
Employees
6
AeroLeads page
6 roles · 18 years

Fernando Pérez work experience

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

Co-Founder And Cto

Oakland, CA, US

Associate Professor

Current
Department Of Statistics, Uc Berkeley
Jul 2019 - Present

Assistant Professor

Current
Department Of Statistics, Uc Berkeley
Jul 2017 - Present

Research Scientist

Current

Berkeley, CA, US

Data Science, software development, applied mathematics, numerical algorithms, scientific computing.Founding co-PI of BIDS - http://bids.berkeley.edu

Dec 2014 - Present

Associate Researcher

Berkeley, CA, US

2008 - Nov 2014

Staff Scientist, Computational Research Division

Current

Berkeley, CA, US

Dec 2014 - Present
2 education records

Fernando Pérez education

Phd, Physics

University Of Colorado Boulder

Bsc, Physics

Universidad De Antioquia
FAQ

Frequently asked questions about Fernando Pérez

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

What company does Fernando Pérez work for?

Fernando Pérez works for AIMATX.

What is Fernando Pérez's role at AIMATX?

Fernando Pérez is listed as Co-Founder and CTO at AIMATX.

What is Fernando Pérez's email address?

AeroLeads has found 1 work email signal at @aimatx.ai for Fernando Pérez at AIMATX.

What is Fernando Pérez's phone number?

AeroLeads has found 6 phone signal(s) with area code 408, 951, 707, 831 for Fernando Pérez at AIMATX.

Where is Fernando Pérez based?

Fernando Pérez is based in Oakland, California, United States while working with AIMATX.

What companies has Fernando Pérez worked for?

Fernando Pérez has worked for Aimatx, Department Of Statistics, Uc Berkeley, Uc Berkeley, and Berkeley Lab.

How can I contact Fernando Pérez?

You can use AeroLeads to view verified contact signals for Fernando Pérez at AIMATX, including work email, phone, and LinkedIn data when available.

What schools did Fernando Pérez attend?

Fernando Pérez holds Phd, Physics from University Of Colorado Boulder.

What skills is Fernando Pérez known for?

Fernando Pérez is listed with skills including Scientific Computing, Python, Numerical Analysis, Algorithms, Applied Mathematics, Parallel Computing, Latex, and Machine Learning.

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