Mason Liang

Software Engineer

Mason Liang is a high-level professional, who works in 0X Labs as a Software Engineer since 2019. Mason gained professional experience in more than six positions at various companies. Mason Liang went to the University of California, Berkeley and was studying there from 2009 to 2014. San Francisco, California is the area, where this expert was known to be located. This person's email address and phone can be accessed through this website on demand.
Name variants:
Maison Liang, Masen Liang, Mayson Liang
Last updated Jun 06, 2024

Contact Information

Last Update
Jul 15, 2022
Location
San Francisco, CA
Company
0X Labs

Workplace

Software Engineer

Work History

Software Engineer

from Mar 2019

Quantitative Engineer

Kqr
Apr 2015 — Apr 2016

Fellow

500 3Rd St SUITE 110, San Francisco, CA 94107
Jan 2015 — Mar 2015

Graduate Student

Berkeley, CA
Aug 2009 — Dec 2014

Summer Intern

Jun 2006 — Aug 2006

Software Engineer

1800 Owens St, San Francisco, CA 94158
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Occupations

IT Professional
Software Engineer
Engineer
Software Developers

Skills

Python
Latex
Data Analysis
Scientific Computing
R
Genetics
Science
Bioinformatics
Mathematica
Mathematical Modeling
Machine Learning
Algorithms
Statistics
Zumba
Numerical Analysis
Probability Theory

FAQs about Mason Liang

What's the main profession of Mason Liang?

This professional's job is Software Engineer

What are the profession of Mason?

These person's professions are IT Professional and Software Engineer

Where is Mason Liang currently located?

Mason is currently located in San Francisco, California.

How many companies did Mason Liang work at?

Mason Liang worked at six jobs.

What education does Mason Liang have?

Mason studied at the University of California, Berkeley from 2009 to 2014.

What languages does Mason Liang speak?

Mason Liang speaks English and Mandarin.

What is the industry that Mason Liang worked in?

This person works in Research industry.

What are professional skills of Mason Liang?

This professional has skills in the following areas: Python, Latex, Data Analysis, Scientific Computing, R, Genetics, Science, Bioinformatics, Mathematica, Mathematical Modeling, Machine Learning, and Algorithms.
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