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Daniel Haxton Email & Phone Number

Expert in methods for physics-based high-performance computation, especially quantum and optical at KLA
Location: Seattle, Washington, United States 2 work roles 3 schools
1 work email found @kla-tencor.com LinkedIn matched
✓ Verified May 2026 4 data sources Profile completeness 100%

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Current company
KLA
Role
Expert in methods for physics-based high-performance computation, especially quantum and optical
Location
Seattle, Washington, United States

Who is Daniel Haxton? Overview

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Quick answer

Daniel Haxton is listed as Expert in methods for physics-based high-performance computation, especially quantum and optical at KLA, based in Seattle, Washington, United States. AeroLeads shows a work email signal at kla-tencor.com and a matched LinkedIn profile for Daniel Haxton.

Daniel Haxton previously worked as Research Scientist 4 at Kla and Staff Scientist at Us Government (Lawrence Berkeley National Laboratory). Daniel Haxton holds Phd, Physical Chemistry from University Of California, Berkeley.

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Email format at KLA

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{first}.{last}@kla-tencor.com
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AeroLeads found 1 current-domain work email signal for Daniel Haxton. Compare company email patterns before reaching out.

Profile bio

About Daniel Haxton

• Expert in developing physics-based algorithms involving high-performance computation• Expert in wave mechanics (Schrodinger/quantum & Maxwell/optical) including scattering theory• Performing tomography & metrology of microchip structures at KLA Corp using nonlinear optimization• Motivated to use my skills for projects that benefit the greater good• Seeking to join a team doing physics-based algorithm development with rigorous programming practicesI produce cutting-edge solutions for important physics problems. I modeled high-dimensional quantum- mechanical waves (Schrodinger equation) in Atomic, Molecular, and Optical (AMO) physics (2002-2015) and I model three-dimensional waves of light (Maxwell's equations) in my current career doing optical and x-ray metrology at KLA Corporation (2016-current).In AMO physics at Lawrence Berkeley Laboratory, I solved the Schrodinger equation for quantum waves with few to hundreds of independent variables in many contexts, producing the fastest Schrodinger solver for highly-excited time-dependent quantum mechanics of electrons in atoms and small molecules in the world, https://www.github.com/LBNL-AMO-MCTDHF/V1.At KLA Corporation, I do metrology (measurement) of nanometer-size semiconductor (microchip) structures. Doing metrology, I solve the inverse scattering problem: Our machines take measurements of photons scattered by microchip structures, and I develop algorithms that use those measurements to infer the shape and size of the nanometer-size microchip structures. Given measurements with 100-1,000,000 independent variables, I create new methods for solving Maxwell's equations with 3 independent variables, and I use them to solve nonlinear optimization problems with 10-40 independent variables. At KLA Corp., I create new methods for solving Maxwell's equations, and new methods for the nonlinear optimization problem, the inverse scattering problem, of metrology.I am an expert in wave mechanics (quantum mechanics and optics in particular) and in the development of efficient numerical algorithms for high-dimensional physics problems using high-performance computation, including nonlinear optimization.I want to be part of a team doing scientific work with long-term value, making the world a better place, producing robust, reliable computer codes for the future according to rigorous programming practices.

Listed skills include Numerical Analysis, Scientific Computing, Physics, Parallel Computing, and 34 others.

Current workplace

Daniel Haxton's current company

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KLA
Kla
Expert in methods for physics-based high-performance computation, especially quantum and optical
Website
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2 roles

Daniel Haxton work experience

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Research Scientist 4

Current
Kla

Milpitas, California, US

Invented and implemented new numerical methods for the solution of Maxwell's equations and the fundamental problem of metrology, the inverse scattering problem.- Invented, implemented, and continuing to develop "Rigorous" method currently being used by customers for the solution of Maxwell's equations for hard x-ray transmission using KLA's Axion machine..

Nov 2016 - Present

Staff Scientist

Us Government (Lawrence Berkeley National Laboratory)

Developed supercomputer codes to solve the Schrodinger equation; mentored graduate students and postdocs; wrote scientific papers

Jan 2011 - Jun 2016
Team & coworkers

Colleagues at KLA

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3 education records

Daniel Haxton education

Phd, Physical Chemistry

University Of California, Berkeley

Bachelor'S Degree, Chemistry

Colorado College

High-School Diploma

Shorecrest High School
FAQ

Frequently asked questions about Daniel Haxton

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What company does Daniel Haxton work for?

Daniel Haxton works for KLA.

What is Daniel Haxton's role at KLA?

Daniel Haxton is listed as Expert in methods for physics-based high-performance computation, especially quantum and optical at KLA.

What is Daniel Haxton's email address?

AeroLeads has found 1 work email signal at @kla-tencor.com for Daniel Haxton at KLA.

Where is Daniel Haxton based?

Daniel Haxton is based in Seattle, Washington, United States while working with KLA.

What companies has Daniel Haxton worked for?

Daniel Haxton has worked for Kla and Us Government (Lawrence Berkeley National Laboratory).

Who are Daniel Haxton's colleagues at KLA?

Daniel Haxton's colleagues at KLA include Yohai Vachter, Tianhan Wang, Wenfei (Alex) Gu, Ahmad Shouman, and D'Angelo Franklin.

How can I contact Daniel Haxton?

You can use AeroLeads to view verified contact signals for Daniel Haxton at KLA, including work email, phone, and LinkedIn data when available.

What schools did Daniel Haxton attend?

Daniel Haxton holds Phd, Physical Chemistry from University Of California, Berkeley.

What skills is Daniel Haxton known for?

Daniel Haxton is listed with skills including Numerical Analysis, Scientific Computing, Physics, Parallel Computing, Science, Physical Chemistry, Molecular Dynamics, and Spectroscopy.

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