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Lingxiao Zhao Email & Phone Number

AI Scientist at Mistral AI
Location: Pittsburgh, Pennsylvania, United States 7 work roles 3 schools
2 phones found area 412 LinkedIn matched
✓ Verified May 2026 4 data sources Profile completeness 100%

Contact Signals · 2 phones

Direct phone (412) ***-****
LinkedIn Profile matched
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Current company
Role
AI Scientist
Location
Pittsburgh, Pennsylvania, United States
Company size

Who is Lingxiao Zhao? Overview

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Quick answer

Lingxiao Zhao is listed as AI Scientist at Mistral AI, a company with 435 employees, based in Pittsburgh, Pennsylvania, United States. AeroLeads shows phone signal with area code 412 and a matched LinkedIn profile for Lingxiao Zhao.

Lingxiao Zhao previously worked as Research Scientist at Zoom and Research Intern at Apple. Lingxiao Zhao holds Doctor Of Philosophy - Phd, Machine Learning Joint Public Policy from Carnegie Mellon University.

Company email context

Email format at Mistral AI

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Mistral AI

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Profile bio

About Lingxiao Zhao

Find more about me: http://lingxiaozhao.com/

Listed skills include Matlab, Java, Python, Machine Learning, and 2 others.

Current workplace

Lingxiao Zhao's current company

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Mistral AI
Mistral Ai
AI Scientist
California, United States
Website
Employees
435
AeroLeads page
7 roles

Lingxiao Zhao work experience

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

Ai Scientist

California, United States

Research Scientist

Current

AI Incubation, full-stack LLM, from pretrain to sft and agent. Large-scale data processing.

Apr 2024 - Present

Research Intern

United States

Working on pretraining large language model.

May 2023 - Aug 2023

Research Intern

Working on graph generative model.

May 2022 - Aug 2022

Research Intern

Working on more expressive graph neural network.

May 2021 - Aug 2021

Research Intern

Ibm

Yorktown Heights, New York, United States

Working on graph anomaly detection.

Jun 2020 - Aug 2020

Research Assistant

Greater Pittsburgh Area

Working with Prof. Leman Akoglu on graph mining and machine learning algorithms.Project 1: Optimal Graph for Semi-Supervised Learning- Designed a hyper-loss over validation set measuring task-based "optimal" graph for SSL.- Proposed an algorithm minimizing the hyper-loss based on hyper-gradient of the graph. - Boosted the runtime 10x faster by using.

Sep 2017 - Aug 2018
3 education records

Lingxiao Zhao education

Doctor Of Philosophy - Phd, Machine Learning Joint Public Policy

I'm doing research under the supervision of Prof. Leman Akoglu. The topics that I'm interested in: - Graph related algorithms, e.g. graph.

Master’S Degree, Electrical And Computer Engineering, 3.90/4.00

Activities and Societies: Specialized at machine learning techniques.

Bachelor’S Degree, Electrical And Electronics Engineering, 92.1/100

Activities and Societies: Working with Prof. Zhaohong Bie on economical dispatch for power system.Rank 7/370

FAQ

Frequently asked questions about Lingxiao Zhao

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

What company does Lingxiao Zhao work for?

Lingxiao Zhao works for Mistral AI.

What is Lingxiao Zhao's role at Mistral AI?

Lingxiao Zhao is listed as AI Scientist at Mistral AI.

What is Lingxiao Zhao's phone number?

AeroLeads has found 2 phone signal(s) with area code 412 for Lingxiao Zhao at Mistral AI.

Where is Lingxiao Zhao based?

Lingxiao Zhao is based in Pittsburgh, Pennsylvania, United States while working with Mistral AI.

What companies has Lingxiao Zhao worked for?

Lingxiao Zhao has worked for Mistral Ai, Zoom, Apple, Nvidia, and Snap Inc..

How can I contact Lingxiao Zhao?

You can use AeroLeads to view verified contact signals for Lingxiao Zhao at Mistral AI, including work email, phone, and LinkedIn data when available.

What schools did Lingxiao Zhao attend?

Lingxiao Zhao holds Doctor Of Philosophy - Phd, Machine Learning Joint Public Policy from Carnegie Mellon University.

What skills is Lingxiao Zhao known for?

Lingxiao Zhao is listed with skills including Matlab, Java, Python, Machine Learning, Hadoop, and Spark.

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