Yuxiang Wang Email & Phone Number
@aligntech.com
2 phones found area 434 and 408
LinkedIn matched
Who is Yuxiang Wang? Overview
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Yuxiang Wang is listed as Research Manager, Interpretability at Anthropic, a with 2110 employees, based in San Jose, California, United States. AeroLeads shows a work email signal at aligntech.com, phone signal with area code 434, 408, and a matched LinkedIn profile for Yuxiang Wang.
Yuxiang Wang previously worked as Member of Technical Staff at Anthropic and Senior Manager, Simulation & Modeling at Align Technology. Yuxiang Wang holds Doctor Of Philosophy (Ph.D.), Mechanical Engineering from University Of Virginia.
Email format at Anthropic
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AeroLeads found 2 current-domain work email signals for Yuxiang Wang. Compare company email patterns before reaching out.
About Yuxiang Wang
Hi, I'm Shawn Wang, a builder at heart who loves the intersection of machine learning and physics. With a PhD in Mechanical Engineering and over 14 years of experience in ML and FEA, I've had the privilege of turning complex ideas into impactful products. I founded and grew the Simulation & Modeling organization at Align Technology. My work focuses on creating ML- and physics-driven models to optimize everything from treatment planning to orthodontic device design and manufacturing, bringing cutting-edge research into real-world applications.My passion lies in building teams and solutions that drive innovation. From developing state-of-the-art neural network architectures to leading the creation of customized orthodontic devices, I'm deeply motivated by solving tough problems that matter. Along the way, I've published over 30 patents and contributed to projects that have made a real, meaningful impact on patient care.I'm also an active contributor to the ML community, leading meetups with over 800 members, hosting a YouTube channel called "Shawn's ML Notes," and presenting on advanced AI topics. I thrive on collaboration, learning, and building solutions that push the boundaries of what's possible.Let's connect if you're interested in the world where machine learning meets physics and product innovation.
Listed skills include Python, Mathematica, Latex, Mathematical Modeling, and 19 others.
Yuxiang Wang's current company
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Yuxiang Wang work experience
A career timeline built from the work history available for this profile.
Member Of Technical Staff
Senior Manager, Simulation & Modeling
Current- Founded & leading Simulation & Modeling Organization- Initiated extensive cross-functional collaborations with product, software, material, data, process, and clinical research teams- Published/issued/allowed 31 patents (17 more pending) on various aligner product designs and manufacturing methods
Manager, Simulation & Modeling
Team Lead, Simulation
Product Research Engineer
Research Engineer
- Development of new features and products for the Invisalign clear aligner system (product development, design control)- Computational modeling and simulation of the Invisalign clear aligner system and others (finite element analysis, material characterization)
Nonprofit Program Lead, Machine Learning Study Group
Current- Founded and led hosting of regular meet-ups on latest machine learning technical topics- Grew the community from 0 to 800+ members fostering active discussions and engagement on latest topics on ML- Hosted 20+ events with invited speakers from industry on selected ML research papers and field advancements- Presented on cutting-edge AI topics such as transformer/mamba architectures, MLOps overview, and recommendation systems- Hosted YouTube channel Shawn’s ML Notes with 6 original videos on ML technical deep dives and 1,000+ subscribers
Graduate Research Assistant
- Finite element analysis of fingertip and its interaction with rigid and compliant objects (ABAQUS)- Biomechanical characterization of skin mechanical properties in the mouse model (MATLAB, LabVIEW)- Modeling and simulation of the neural dynamics underlying tactile afferents (Python, C)- Computational algorithm for implementing hyperelastic materials for finite element analysis (Fortran, Python)- Presentations in weekly meetings with collaborating Lumpkin Lab at Columbia University
Graduate Teaching Assistant
- SYS 3023 Human Machine Interface (Fall 2011)- SYS 6026 Quantitative Models of Human Perceptual Information Processing (Spring 2013)- SYS 6064 Applied Human Factors Engineering for Accelerated Masters Program (Fall 2013, Fall 2014 & Fall 2015)
Undergraduate Research Assistant
- Sensors for incipient slip detection of master-slave teleoperations
Yuxiang Wang education
Doctor Of Philosophy (Ph.D.), Mechanical Engineering
Master Of Science (Ms), Systems Engineering
Bachelor’S Degree, Mechanical Engineering
Exchange Student, Fire Protection Engineering
High School Degree, Science And Engineering
Education record
Frequently asked questions about Yuxiang Wang
Quick answers generated from the profile data available on this page.
What company does Yuxiang Wang work for?
Yuxiang Wang works for Anthropic.
What is Yuxiang Wang's role at Anthropic?
Yuxiang Wang is listed as Research Manager, Interpretability at Anthropic.
What is Yuxiang Wang's email address?
AeroLeads has found 2 work email signals at @aligntech.com for Yuxiang Wang at Anthropic.
What is Yuxiang Wang's phone number?
AeroLeads has found 2 phone signal(s) with area code 434, 408 for Yuxiang Wang at Anthropic.
Where is Yuxiang Wang based?
Yuxiang Wang is based in San Jose, California, United States while working with Anthropic.
What companies has Yuxiang Wang worked for?
Yuxiang Wang has worked for Anthropic, Align Technology, Career Voyager 职挂云帆, University Of Virginia, and Huazhong University Of Science And Technology.
How can I contact Yuxiang Wang?
You can use AeroLeads to view verified contact signals for Yuxiang Wang at Anthropic, including work email, phone, and LinkedIn data when available.
What schools did Yuxiang Wang attend?
Yuxiang Wang holds Doctor Of Philosophy (Ph.D.), Mechanical Engineering from University Of Virginia.
What skills is Yuxiang Wang known for?
Yuxiang Wang is listed with skills including Python, Mathematica, Latex, Mathematical Modeling, Matlab, Numerical Analysis, R, and Labview.
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