Tianlong Chen in

Tianlong Chen

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Chief AI Scientist at hireEZ
📍 Austin, Texas, United States

Tianlong Chen is an Assistant Professor at UNC Chapel Hill and the Chief AI Scientist at hireEZ. An award-winning researcher with a Ph. D. from UT Austin and postdoctoral work at MIT and Harvard, his work focuses on building accurate, trustworthy, and efficient machine learning systems, particularly large language models (LLMs).

Inspired by his experiences during the COVID-19 pandemic, he devotes significant effort to applying AI to biological science and healthcare. He aims to create public health research that can serve and benefit many people, with current projects in autoimmune disease diagnosis and reproductive health education.

He founded a startup during his undergraduate studies that focused on visual machine learning for custom behavior analysis.

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Current Role
Chief AI Scientist
Location
Austin, Texas, United States
Personality Overview

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Priorities

Topics Tianlong cares about

Efficient LLMs
He co-organized an ICML 2024 tutorial on Mixture-of-Experts (MoE) to make Large Language Models faster and more efficient, a core theme in his recent papers and talks.
AI in Healthcare
Motivated by the pandemic, he focuses on using AI for public good, with projects in lupus diagnosis and creating apps for sexual and reproductive health education.
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Career

Work history

8-2025
Chief AI Scientist
hireEZ
7-2024
Assistant Professor
University of North Carolina at Chapel Hill
6-2023 - 7-2024
Postdoctoral Researcher
MIT Computer Science and Artificial Intelligence Laboratory (CSAIL)
8-2020 - 5-2023
Graduate Research Assistant
The University of Texas at Austin
2-2022 - 12-2022
Research Intern
Google
In the press

Media appearances

hireEZ Appoints Dr. Tianlong Chen as Chief AI Scientist to Lead Next Generation Agentic AI for Talent Acquisition. Featured in PR Newswire
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Education
2020 - 2023
Ph.D. Student
The University of Texas at Austin
2018 - 2020
Ph.D. Student
Texas A&M University
Social presence
in
Behavioral profile

DISC profile (public)

DISC behavioral profile

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