Yiwei Fu

Yiwei Fu Email and Phone Number

Senior Research Engineer - AI and Machine Learning @ GE Vernova
Albany, NY, US
Yiwei Fu's Location
Schenectady, New York, United States, United States
About Yiwei Fu

I am a multidisciplinary researcher with a strong academic background across diverse domains, including deep learning, reinforcement learning, robotics, control theory, applied mathematics, optimization theory, signal processing, and electrical systems. Highly skilled in software engineering and coding, I specialize in seamlessly incorporating AI into high-impact real-world products. In the early stages of my career, I had the privilege to contribute to cross-disciplinary AI technologies across sectors like Aerospace, Energy, and Healthcare. More recently, my research has become particularly concentrated on leveraging AI and Large Language Models to drive the energy transition. I am dedicated to reshaping the landscape by utilizing AI to construct the grid of the future and accelerate the integration of renewable energies.

Yiwei Fu's Current Company Details
GE Vernova

Ge Vernova

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Senior Research Engineer - AI and Machine Learning
Albany, NY, US
Employees:
59003
Yiwei Fu Work Experience Details
  • Ge Vernova
    Senior Research Engineer - Ai And Machine Learning
    Ge Vernova
    Albany, Ny, Us
  • Ge Vernova
    Lead Engineer - Ai And Machine Learning
    Ge Vernova
    Albany, Ny, Us
  • Ge Research
    Lead Scientist - Machine Learning
    Ge Research Apr 2022 - Present
    Niskayuna, New York, United States
    Channeling my enthusiasm towards AI for the energy transition, I've directed my focus to power systems and energy domains, gaining insights into their unique requirements. Beyond contributing to academic papers in machine learning, I'm actively spearheading innovation through AI and ML in these fields. My contributions extend tangibly, marked by IP creations, product integrations in the electrical grid and renewable energy sectors, and a pivotal role in driving the swift implementation of emerging technologies such as Large Language Models and Graph Neural Networks.
  • Ge Research
    Machine Learning Researcher
    Ge Research Mar 2020 - Apr 2022
    Niskayuna, Ny
    As a key contributor to multiple projects funded by DARPA, DOE, and GE Businesses, I drive both fundamental and applied machine learning research in my role as a Research Scientist at GE Research for both the energy industry and the aerospace industry. My research encompasses diverse areas, including deep learning for time series forecasting, anomaly detection, and representation learning in complex engineering systems. I also delve into reinforcement learning's applications in robotics and numerical methods, as well as exploring robustness and interpretability in deep neural networks.
  • Penn State University
    Research Assistant
    Penn State University May 2016 - Feb 2020
    University Park, Pa
    I specialize in designing and applying machine learning to engineering systems and robotics. Notably, I've utilized deep learning to analyze time series data, implemented deep reinforcement learning for autonomous ground robots, and explored Bayesian Nonparametrics modeling for engineering systems.
  • Penn State University
    Teaching Assistant
    Penn State University Aug 2014 - May 2016
    ME 370 - Vibration of Mechanical SystemsME 450 - Modeling of Dynamic SystemsME 355 - Dynamic Systems Lab
  • Ge Research
    Fellow Intern
    Ge Research May 2019 - Dec 2019
    Niskayuna, Ny
    In this role, I conducted cutting-edge research at the intersection of robotics, autonomy, and deep learning, spearheading the development of an innovative Generative Adversarial Network (GAN) tailored to address intricate challenges posed by spatiotemporal data in real-world robotics scenarios. Leveraging a low-dimensional latent space, this architecture efficiently extracted and manipulated information, resulting in the generation of precise control signals pivotal for guiding high-level decision-making processes in diverse robotics applications. Concurrently, I contributed to refining action-conditioned state prediction techniques and pioneering few-shot imitation learning methods, collectively advancing the frontiers of intelligent and adaptable robotics systems.
  • Singapore Technologies Kinetics
    Research Engineer
    Singapore Technologies Kinetics Jul 2013 - Sep 2013
    Singapore
    Summer Intern at Autonomous Center of Excellence.
  • Shanghai Jiao Tong University
    Research Assistant
    Shanghai Jiao Tong University Feb 2012 - Oct 2012

Yiwei Fu Education Details

Frequently Asked Questions about Yiwei Fu

What company does Yiwei Fu work for?

Yiwei Fu works for Ge Vernova

What is Yiwei Fu's role at the current company?

Yiwei Fu's current role is Senior Research Engineer - AI and Machine Learning.

What schools did Yiwei Fu attend?

Yiwei Fu attended Penn State University, Penn State University, Shanghai Jiao Tong University.

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