Associate Director
Current
Aug 2024 - Present
AeroLeads people directory · profile
Juan Meza Email & Phone Number
Professor, Applied Mathematics, UC Merced
at
MSRI / Simons Laufer Mathematical Sciences Institute (SLMath)
2 work emails found
@ucmerced.edu
3 phones found area 209
LinkedIn matched
✓ Verified Jun 2026
4 data sources
Profile completeness 100%
Current company
Role
Professor, Applied Mathematics, UC Merced
Location
Merced, California, United States
Who is Juan Meza? Overview
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Quick answer
Juan Meza is listed as Professor, Applied Mathematics, UC Merced at MSRI / Simons Laufer Mathematical Sciences Institute (SLMath), based in Merced, California, United States. AeroLeads shows a work email signal at ucmerced.edu, phone signal with area code 209, and a matched LinkedIn profile for Juan Meza.
Juan Meza previously worked as Associate Director at Msri / Simons Laufer Mathematical Sciences Institute (Slmath) and Professor at Uc Merced. Juan Meza holds Phd, Mathematical Sciences from Rice University.
Company email context
Email format at MSRI / Simons Laufer Mathematical Sciences Institute (SLMath)
This section adds company-level context without repeating Juan Meza's masked contact details.
{first_initial}{last}@ucmerced.edu
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AeroLeads found 2 current-domain work email signals for Juan Meza. Compare company email patterns before reaching out.
Profile bio
About Juan Meza
AdministrativeAs DMS director, I administer a portfolio of programs with an annual budget in excess of $230 million for a division whose mission is to fund groundbreaking research in mathematics and statistics, and support education and training in the mathematical sciences. Prior to my NSF appointment, I was the Dean and primary executive officer for UC Merced's School of Natural Sciences. Managed annual balanced budgets of over $21 million, oversaw distribution of $30M in graduate student support, and supervised staff of 54.Academic R&D in computational sciences and mathematics. Specialties: computational mathematics, computational sciences, high performance computing, parallel programming, systems architectures, nonlinear optimization, machine learning
Listed skills include High Performance Computing, Machine Learning, Mathematical Modeling, Research, and 45 others.
Current workplace
Juan Meza's current company
Company context helps verify the profile and gives searchers a useful next step.
Msri / Simons Laufer Mathematical Sciences Institute (Slmath)
AeroLeads page
9 roles · 39 years
Juan Meza work experience
A career timeline built from the work history available for this profile.
Professor
Current
Uc Merced
Sep 2011 - Present
Senior Advisor To Provost
Uc Merced
Aug 2017 - Feb 2018
Dean Of School Of Natural Sciences
Uc Merced
Primary executive officer for the School of Natural Sciences. Major duties include: programmatic development and faculty recruitment in both traditional disciplines and interdisciplinary arenas; provide academic leadership for the School in the planning and development of the instructional and research programs via consultation with the faculty to develop.
Sep 2011 - Jul 2017
Division Director, Division Of Mathematical Sciences
Current
National Science Foundation (Nsf)
Feb 2018 - Present
Acting Scientific Division Director
Provide scientific leadership to the Computational Research Division, for maintaining the quality of research through management ofexisting programs and the development of new ones, and for building collaborative relationships with UC Berkeley and other research institutions. Chief spokesperson for the Division in interactions with the Department of Energy.
Sep 2010 - 2011
Department Head
Research and Development for High Performance ComputingSenior Scientist working in the area of computational sciences and mathematics
2002 - 2010
~8 yrs
Distinguished Member Of Technical Staff
Served one-year assignment as a Senior Technical Advisor to the DOE NNSA providing technical expertise to assist the Accelerated Strategic Computing Initiative (ASCI) program concerning high performance computing and applications related services. Assisted in the planning and coordinating of the ASCI Applications Program, a $250M program focused on the.
1987 - 2002
~15 yrs
Research Engineer
Programming for reservoir simulation group at Exxon Production Research
Aug 1980 - Jun 1986
2 education records
Juan Meza education
Phd, Mathematical Sciences
Rice University
Ms, Electrical Engineering/Computer Science
Rice University
FAQ
Frequently asked questions about Juan Meza
Quick answers generated from the profile data available on this page.
What company does Juan Meza work for?
Juan Meza works for MSRI / Simons Laufer Mathematical Sciences Institute (SLMath).
What is Juan Meza's role at MSRI / Simons Laufer Mathematical Sciences Institute (SLMath)?
Juan Meza is listed as Professor, Applied Mathematics, UC Merced at MSRI / Simons Laufer Mathematical Sciences Institute (SLMath).
What is Juan Meza's email address?
AeroLeads has found 2 work email signals at @ucmerced.edu for Juan Meza at MSRI / Simons Laufer Mathematical Sciences Institute (SLMath).
What is Juan Meza's phone number?
AeroLeads has found 3 phone signal(s) with area code 209 for Juan Meza at MSRI / Simons Laufer Mathematical Sciences Institute (SLMath).
Where is Juan Meza based?
Juan Meza is based in Merced, California, United States while working with MSRI / Simons Laufer Mathematical Sciences Institute (SLMath).
What companies has Juan Meza worked for?
Juan Meza has worked for Msri / Simons Laufer Mathematical Sciences Institute (Slmath), Uc Merced, National Science Foundation (Nsf), Lawrence Berkeley National Laboratory, and Sandia National Laboratories.
How can I contact Juan Meza?
You can use AeroLeads to view verified contact signals for Juan Meza at MSRI / Simons Laufer Mathematical Sciences Institute (SLMath), including work email, phone, and LinkedIn data when available.
What schools did Juan Meza attend?
Juan Meza holds Phd, Mathematical Sciences from Rice University.
What skills is Juan Meza known for?
Juan Meza is listed with skills including High Performance Computing, Machine Learning, Mathematical Modeling, Research, Scientific Computing, Algorithms, Parallel Computing, and Latex.
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