Jony Chen

Jony Chen: Email & Phone Number

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Machine Learning Engineer at Live Building Systems|New York, New York, United States

Position:

Machine Learning Engineer at Live Building Systems

Location:

New York, New York, United States

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Last updated: 2026-05-10
Updated: 2026-05-10

Found email addresses for Jony Chen:

Business emails:
Personal emails:
c***@yahoo.com,
c***@hotmail.com,
j***@gmail.com

Found phones for Jony Chen:

+1-323-***-**99,
+1-870-***-**51,
+1-909-***-**51
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Work Experience 5 years

Machine Learning Engineer at Live Building Systems

Aug 2024 - Current

Undergraduate Student Researcher at UNSW

Feb 2022 - Aug 2022

Mechanical Structure Designer at Midea Group

Jun 2021 - Aug 2021

Library Assistant at UNSW

May 2021 - Jul 2021

Jony Chen started working in 2021, then the employee has changed 2 companies and 3 jobs. On average, Jony Chen works for one company for 8 months.

Their professional focus is Abaqus, Algorithms, and Artificial Intelligence (AI) across 3 core areas.

Education

Master's degree at Columbia University

Bachelor of Engineering - BE at UNSW

Frequently Asked Questions

SignalHire found verified email addresses for Jony Chen, both business and personal. Their business email is c****y@livebuildings.com, and personal emails include j***@aol.com, c***@yahoo.com, and c***@hotmail.com.
SignalHire found multiple verified phone numbers for Jony Chen: +1-323-***-**72, +1-323-***-**99, and +1-870-***-**51.
You can reach Jony Chen through SignalHire by unlocking their verified email and direct phone number (free signup, no credit card needed). SignalHire is the fastest route if you need their contact details immediately.
Jony Chen has 5 years of professional experience. They have held roles including Undergraduate Student Researcher, Mechanical Structure Designer, and Library Assistant at companies such as UNSW, Midea Group, and UNSW. Their education includes Master's degree from Columbia University, and Bachelor of Engineering - BE from UNSW.
Yes. Jony Chen's SignalHire profile was last updated on 10 May 2026, reflecting their current position as Machine Learning Engineer at Live Building Systems in New York, New York, United States.

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