Lee Aarons
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Lee Aarons Email & Phone Number

Location: San Francisco Bay Area, United States 12 work roles 3 schools
1 work email found @cox.net 9 phones found area 609, 925, 850, 410, and 561 LinkedIn matched
✓ Verified August 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email · 9 phones

Work email l****@cox.net
Direct phone (609) ***-****
LinkedIn Profile matched
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Current company
Role
Math Teacher
Location
San Francisco Bay Area, United States
Company size

Who is Lee Aarons? Overview

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Quick answer

Lee Aarons is listed as Math Teacher at Mt. Pleasant High School, a with 26 employees, based in San Francisco Bay Area, United States. AeroLeads shows a work email signal at cox.net, phone signal with area code 609, 925, 850, 410, 561, and a matched LinkedIn profile for Lee Aarons.

Lee Aarons previously worked as Adjunct Faculty at San Jose State University and Mathematics Teacher at Menlo-Atherton High School. Lee Aarons holds Certificate, Data Science from The Data Incubator.

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Email format at Mt. Pleasant High School

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{first_initial}{last}@cox.net
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AeroLeads found 1 current-domain work email signal for Lee Aarons. Compare company email patterns before reaching out.

Profile bio

About Lee Aarons

A highly effective and experienced chemical engineer, educator, numerical modeler, researcher, and data scientist with more than 6 years of professional research experience, currently seeking a position as a researcher or data scientist. Versatile skill set with broad experience in machine learning, big data, web scraping, data visualization, granular materials, simulation coding and analysis, discrete element method, multi-scale computational modeling, and rock mechanics. Familiar with and greatly interested in CFD. Well-versed in C++, FORTRAN, Python, and MATLAB.Have experience with analyzing and handling data using MATLAB, Python (scikit-learn, pandas, matplotlib, bokeh, etc.), SQL, Spark, Hadoop, and MapReduce. Experienced with many facets of machine learning, including regression, classification, and clustering (unsupervised learning). Researched the fracture behavior of concrete, the residual stress of fractured ceramics, and the hydrofracking of shale using finite element/difference simulations at Lawrence Livermore National Laboratory. Researched the mixing and mechanics of cohesive granular materials under shear using discrete element method simulations as a postdoctoral researcher at the University of Florida and as a graduate researcher at Princeton University, respectively.Special abilities include problem solving capabilities, writing journal articles, and preparing and giving presentations. Have demonstrated ability to learn programming languages, simulation techniques, and engineering software quickly. Experienced and effective in working in groups and on my own.

Listed skills include Science, Materials Science, Mathematical Modeling, Chemistry, and 22 others.

Current workplace

Lee Aarons's current company

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Mt. Pleasant High School
Mt. Pleasant High School
Math Teacher
California, United States
Employees
26
AeroLeads page
12 roles

Lee Aarons work experience

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Adjunct Faculty

San Jose, Ca

Teach the graduate-level Chemical Engineering courses, Advanced Mass Transfer, Advanced Thermodynamics and Advanced Transport PhenomenaCo-teach the graduate-level Chemical Engineering course, Advanced Chemical Kinetics and Reactor DesignRun lab section for undergraduate Chemical Engineering course, Plant Design

Data Scientist

San Francisco Bay Area

Mastered the ins and outs of data science, including web scraping, SQL, Spark, MapReduce, machine learning (regression, classification, and clustering using scikit-learn), time series, digital signal analysis, and NLP.Projects worked on included predicting Yelp scores for businesses based on characteristics of the businesses and text reviews, predicting temperatures based on historical data, predicting video game sales based on review scores, identifying the genres of songs based on mp3 files, and calculating various statistics on very large numbers of forum posts (using Spark), the contents of large numbers of Wikipedia posts (using MapReduce), and databases of restaurants (using SQL). All projects involved coding in Python.

Jun 2017 - Aug 2017

Part-Time Professor

De Anza College, Cupertino, Ca

Taught "Introduction to Engineering" to classes of about 30 students for two termsSet own curriculum and created own teaching materialHeld office hours

Sep 2015 - Mar 2016

Postdoctoral Researcher

Livermore, Ca

Researched the fracture behavior of brittle materials (concrete, ceramics) under various loading conditions and shale during hydrofracking. Helped to write and debug finite element/difference (FEM/FDM) code used to simulate the fracture of concrete and ceramics. Created meshes (Cubit) of concrete cylinders and ran the simulations, attempting to reproduce observed stress-strain relationships for concrete. Analyzed the results (using VisIt and gnuplot) to determine if and how the code fell short and made corrections or reported my findings to teammates. Added capability to determine connectivity of fractured meshes spanning multiple processors. Created meshes for and ran simulations of pre-fractured ceramics under compression and analyzed the results to model the relationship between residual strength and applied pressure (received 2014 Directorate Silver Award from Global Security for this work). Created meshes (Cubit) of boreholes in slate for use in hydrofracking simulations. Developed method to evenly partition mesh between processors using irregular hexahedral boundaries. Ran hydrofracking simulations in an attempt to capture realistic fracture propagation (most notably "fracture turning"). Analyzed the results (using Python and VisIt) to determine if and how the code fell short and reported findings to teammates.

Mar 2012 - Mar 2015

Postdoctoral Researcher

Eglin Air Force Base, Fl

Researched the mixing and shock loading of granular materials. Modified LAMMPS (an open-source, multi-processor MD/DEM code from Sandia National Laboratories), using C++, to simulate the shearing of cohesive granular materials between particle-coated plates. Ran simulations to model the mixing of cohesive granular materials consisting of particles of different sizes with and without gravity. Analyzed the simulations, using a variety of metrics to quantify the homogeneity of mixtures. Determined how the mixture homogeneity was affected by shearing speed and particle cohesion.Used LAMMPS to simulate the shock loading of non-cohesive monodisperse granular materials. Analyzed the simulations to determine how the porosity, stress, energy, and exit velocity of particles varied with initial porosity and impact velocity.

Jun 2008 - Dec 2011
3 education records

Lee Aarons education

Certificate, Data Science

Learned web scraping, SQL, Spark, MapReduce, machine learning (regression, classification, and clustering using scikit-learn), time.

Phd, Chemical Engineering

Ph.D. Thesis: “Analyses of Simulated Plane Shear Flows of Cohesionless and Cohesive Granular Materials.” Adviser: Sankaran Sundaresan.

FAQ

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What company does Lee Aarons work for?

Lee Aarons works for Mt. Pleasant High School.

What is Lee Aarons's role at Mt. Pleasant High School?

Lee Aarons is listed as Math Teacher at Mt. Pleasant High School.

What is Lee Aarons's email address?

AeroLeads has found 1 work email signal at @cox.net for Lee Aarons at Mt. Pleasant High School.

What is Lee Aarons's phone number?

AeroLeads has found 9 phone signal(s) with area code 609, 925, 850, 410, 561 for Lee Aarons at Mt. Pleasant High School.

Where is Lee Aarons based?

Lee Aarons is based in San Francisco Bay Area, United States while working with Mt. Pleasant High School.

What companies has Lee Aarons worked for?

Lee Aarons has worked for Mt. Pleasant High School, San Jose State University, Menlo-Atherton High School, Math Enrichment Summer Academy Inc, and Fremont Unified School District.

How can I contact Lee Aarons?

You can use AeroLeads to view verified contact signals for Lee Aarons at Mt. Pleasant High School, including work email, phone, and LinkedIn data when available.

What schools did Lee Aarons attend?

Lee Aarons holds Certificate, Data Science from The Data Incubator.

What skills is Lee Aarons known for?

Lee Aarons is listed with skills including Science, Materials Science, Mathematical Modeling, Chemistry, Chemical Engin, Simulations, Chemical Engineering, and University Teaching.

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