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Jeff (Chia-Fu) Wang Email & Phone Number

Senior Application Engineer at ASML at ASML
Location: San Jose, California, United States 7 work roles 3 schools
1 work email found @asml.com LinkedIn matched
✓ Verified August 2026 4 data sources Profile completeness 100%

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Work email j****@asml.com
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Current company
Role
Senior Application Engineer at ASML
Location
San Jose, California, United States

Who is Jeff (Chia-Fu) Wang? Overview

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Quick answer

Jeff (Chia-Fu) Wang is listed as Senior Application Engineer at ASML at ASML, based in San Jose, California, United States. AeroLeads shows a work email signal at asml.com and a matched LinkedIn profile for Jeff (Chia-Fu) Wang.

Jeff (Chia-Fu) Wang previously worked as Senior Application Engineer at Asml and Sr Mechanical R&D engineer at Seagate Technology. Jeff (Chia-Fu) Wang holds Doctor Of Philosophy - Phd, Mechanical And Aerospace Engineering from North Carolina State University.

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Email format at ASML

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jwang@asml.com
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AeroLeads found 1 current-domain work email signal for Jeff (Chia-Fu) Wang. Compare company email patterns before reaching out.

Profile bio

About Jeff (Chia-Fu) Wang

An enthusiastic engineer with Optical / Ultrasonic test experiments, finite element modeling, and structural vibration / Dynamic analysis experiences and the ability to function well in a collaborative environment. Possess excellent skills in hands-on testing to solve challenging research problems.

Listed skills include Python, Artificial Intelligence, Data Analysis, Tensorflow, and 10 others.

Current workplace

Jeff (Chia-Fu) Wang's current company

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ASML
Asml
Senior Application Engineer at ASML
AeroLeads page
7 roles

Jeff (Chia-Fu) Wang work experience

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

Senior Application Engineer

Current

Veldhoven, Nl

Jan 2023 - Present

Sr Mechanical R&D Engineer

Fremont, Ca, Us

• Working in Seagate's Advanced Head Gimbal Assembly (AHGA) team, developing future HGA to support next-generation HDD recording head, this involves precisely mechanism design• Optimizing mechanical design (HGA) to fit roadmap of product• Performing Dynamic and Frequency Response Function (FRF) analysis of HGA by FEA• Performing Competitive analysis of product HGA by 2D detailed drawing with AutoCAD, and 3D modeling and meshing with HyperMesh

Aug 2022 - Dec 2022

Graduate Research Assistant

Raleigh, North Carolina, Us

• Investigated ultrasonic waves detection with Fiber optic sensors to enhance the signal-to-noise ratio (SNR) of the measured ultrasonic signal by 140%• Designed optical experiments of FBG sensors and performed hands-on tests to measure and analyze surface vibration of sheet, the investigation result had been published in a series of journal paper• Performed hands-on experiments with 3D Laser Doppler vibrometry (LDV) system at microscale to characterize lightweight materials (6061 aluminum) surface deformation• Performed mechanical FEM to simulate elastic waves transfer through multi-layered interfaces• Implemented concept design of Ultrasonic horns with SolidWorks to develop 3D CAD model, and manufactured the prototype by 3D printer and waterjet to meet requirements of enhancing ultrasonic waves applications • Designed repeatable experimental procedure to fabricate consistent viscoelastic interface layer, the verification processes were performed, and the flow and result were published in a journal paper • Analyzed optical / ultrasonic test experimental and dynamic simulation data with MATLAB• Mentored four undergraduate researchers during hands-on experiments and project research

Aug 2018 - Sep 2022

Instructor Teaching Assistant

Raleigh, North Carolina, Us

• Mechanical Engineering Laboratory• Responsible for teaching lab sections of basic circuits and electrical experiments; Strain Gauges experiments; monitoring the temperature variation experiments

Aug 2020 - May 2021

Full-Time Research Assistant

Hsinchu, Tw

• Performed hands-on experiments to verify new design helical antimicrobial peptides

Jan 2018 - Jul 2018

Graduate Research Assistant

Tainan, Taiwan, Tw

• Designed Acoustic Lens of Graded Index Phononic Crystals via COMSOL Multiphysics and theoretical calculation to expand 75% operating frequency • Simulated acoustic wave propagation of the designed device by COMSOL Multiphysics

Aug 2013 - Jul 2015

Teaching Assistant

Tainan, Taiwan, Tw

• Mechanics of Materials, Mechanical Vibration• Responsible for tutoring, grading assignments, and grading exams

Sep 2014 - Jun 2015
3 education records

Jeff (Chia-Fu) Wang education

Doctor Of Philosophy - Phd, Mechanical And Aerospace Engineering

North Carolina State University

Master Of Engineering - Meng, Mechanical Engineering

National Cheng Kung University

Bachelor'S Degree, Biomechatronic Engineering

National Chiayi University
FAQ

Frequently asked questions about Jeff (Chia-Fu) Wang

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

What company does Jeff (Chia-Fu) Wang work for?

Jeff (Chia-Fu) Wang works for ASML.

What is Jeff (Chia-Fu) Wang's role at ASML?

Jeff (Chia-Fu) Wang is listed as Senior Application Engineer at ASML at ASML.

What is Jeff (Chia-Fu) Wang's email address?

AeroLeads has found 1 work email signal at @asml.com for Jeff (Chia-Fu) Wang at ASML.

Where is Jeff (Chia-Fu) Wang based?

Jeff (Chia-Fu) Wang is based in San Jose, California, United States while working with ASML.

What companies has Jeff (Chia-Fu) Wang worked for?

Jeff (Chia-Fu) Wang has worked for Asml, Seagate Technology, North Carolina State University, National Tsing Hua University, and National Cheng Kung University.

How can I contact Jeff (Chia-Fu) Wang?

You can use AeroLeads to view verified contact signals for Jeff (Chia-Fu) Wang at ASML, including work email, phone, and LinkedIn data when available.

What schools did Jeff (Chia-Fu) Wang attend?

Jeff (Chia-Fu) Wang holds Doctor Of Philosophy - Phd, Mechanical And Aerospace Engineering from North Carolina State University.

What skills is Jeff (Chia-Fu) Wang known for?

Jeff (Chia-Fu) Wang is listed with skills including Python, Artificial Intelligence, Data Analysis, Tensorflow, Neural Networks, Machine Learning, Deep Learning, and Javascript.

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