Albert Liang

Albert Liang Email and Phone Number

Researcher @ Two Sigma Investments @ Two Sigma
Albert Liang's Location
New York City Metropolitan Area, United States, United States
Albert Liang's Contact Details

Albert Liang work email

Albert Liang personal email

n/a
About Albert Liang

Albert Liang is a Researcher @ Two Sigma Investments at Two Sigma. He possess expertise in physics, university teaching, uncertainty quantification, bayesian methods, partial differential equations and 15 more skills.

Albert Liang's Current Company Details
Two Sigma

Two Sigma

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Researcher @ Two Sigma Investments
Albert Liang Work Experience Details
  • Two Sigma
    Quantitative Researcher
    Two Sigma Jul 2023 - Present
    New York, Ny, Us
    AI Research Scientist on the AI Core team under Fast Forecasting and Trading.Specialties: Intraday trading tactics, Market impact modeling, Order execution, China markets, Transaction cost analysis, Reinforcement learning, Deep learning, Statistical learning.
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  • Machine Learning Department At Cmu
    Teaching Assistant - 10707 Advanced Deep Learning
    Machine Learning Department At Cmu Jan 2023 - Jul 2023
    Pittsburgh, Pennsylvania, Us
    View
  • Machine Learning Department At Cmu
    Graduate Researcher
    Machine Learning Department At Cmu Oct 2022 - Jul 2023
    Pittsburgh, Pennsylvania, Us
    Researching deep learning algorithms related to uncertainty estimation, PDE, and active learning, with applications to physical science.
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  • Two Sigma
    Quantitative Research Intern
    Two Sigma May 2022 - Aug 2022
    New York, Ny, Us
    Modeling & Trading internship
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  • Google
    Software Engineer Intern
    Google Jan 2022 - Apr 2022
    Mountain View, Ca, Us
    PyTorch/XLA team under Core ML
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  • Machine Learning Department At Cmu
    Undergraduate Researcher
    Machine Learning Department At Cmu Dec 2020 - May 2021
    Pittsburgh, Pennsylvania, Us
    Distributed training algorithms for transformer models, including data parallel, model parallel, and pipeline parallel.
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  • Carnegie Mellon University School Of Computer Science
    Teaching Assistant - 17214 Principles Of Software Construction
    Carnegie Mellon University School Of Computer Science Aug 2020 - Dec 2020
    Pittsburgh, Pa, Us
    Taught large-scale software design and concurrency in Java
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  • Amazon
    Software Development Engineer Intern
    Amazon May 2020 - Aug 2020
    Seattle, Wa, Us
    Trending News team under Alexa
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  • Cmu Department Of Mathematical Sciences
    Undergraduate Researcher
    Cmu Department Of Mathematical Sciences Jun 2019 - Jul 2019
    Pittsburgh, Pa, Us
    Analytical solutions of perpetual options based on Black-Scholes, supervised by professor William Hrusa.
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Albert Liang Skills

Physics University Teaching Uncertainty Quantification Bayesian Methods Partial Differential Equations Deep Learning Sml C (Programming Language Latex Java Mathematical Modeling C++ Cantonese Python Machine Learning Mathematica Unix Mandarin Statistics Compilers

Albert Liang Education Details

  • Machine Learning Department At Cmu
    Machine Learning Department At Cmu
    Machine Learning
  • Carnegie Mellon University
    Carnegie Mellon University
    Computational Finance
  • Carnegie Mellon University School Of Computer Science
    Carnegie Mellon University School Of Computer Science
    Computer Science
  • Beijing No.4 High School
    Beijing No.4 High School
    High School Diploma

Frequently Asked Questions about Albert Liang

What company does Albert Liang work for?

Albert Liang works for Two Sigma

What is Albert Liang's role at the current company?

Albert Liang's current role is Researcher @ Two Sigma Investments.

What is Albert Liang's email address?

Albert Liang's email address is al****@****gma.com

What schools did Albert Liang attend?

Albert Liang attended Machine Learning Department At Cmu, Carnegie Mellon University, Carnegie Mellon University School Of Computer Science, Beijing No.4 High School.

What skills is Albert Liang known for?

Albert Liang has skills like Physics, University Teaching, Uncertainty Quantification, Bayesian Methods, Partial Differential Equations, Deep Learning, Sml, C (Programming Language, Latex, Java, Mathematical Modeling, C++.

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