Charles Yang

Charles Yang Email and Phone Number

building something new @ Stealth
Washington, DC, US
Charles Yang's Location
Richmond, Virginia, United States, United States
Charles Yang's Contact Details

Charles Yang personal email

n/a
About Charles Yang

"For all have sinned and fall short of the glory of God, and are justified by His grace as a gift, through the redemption that is in Christ Jesus." -Romans 3:23-24

Charles Yang's Current Company Details
Stealth

Stealth

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building something new
Washington, DC, US
Charles Yang Work Experience Details
  • Stealth
    Building Something New
    Stealth
    Washington, Dc, Us
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  • Renaissance Philanthropy
    Ai For Science Fellow
    Renaissance Philanthropy
    Washington, Dc, Us
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  • Office Of Critical And Emerging Technologies
    Ai Policy Advisor
    Office Of Critical And Emerging Technologies Apr 2024 - Present
    Co-lead author on AI for Energy report: https://www.energy.gov/cet/articles/ai-energyLed engagement strategy for DOE's Frontiers in AI for Science, Security, and Technology (FASST) initiative: https://www.energy.gov/fasstCo-lead for interagency Material Genome Initiative workshop on self-driving labs: https://www.mgi.gov/sites/default/files/documents/MGI_Autonomous_Materials_Innovation_Infrastructure_Workshop_Report.pdf
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  • Doe Manufacturing & Energy Supply Chains Office (Mesc)
    Supply Chain Policy Advisor
    Doe Manufacturing & Energy Supply Chains Office (Mesc) Feb 2024 - Present
    Washington, District Of Columbia, Us
    Led supply chain portfolio strategy for $10B 48C investment tax credit across clean energy manufacturing and critical materialsSupported 45X tax credit implementation for critical materialsLaunched new clean energy manufacturing RFI to support internal supply chain analysis: https://www.energy.gov/mesc/articles/request-information-clean-energy-supply-chainsSpearheaded implementation of new demand-side battery materials processing grant
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  • Doe Manufacturing & Energy Supply Chains Office (Mesc)
    Energy Supply Chain Fellow
    Doe Manufacturing & Energy Supply Chains Office (Mesc) Mar 2023 - Feb 2024
    Washington, District Of Columbia, Us
    ORISE fellowship with the Office of Manufacturing and Energy Supply Chains in the Department of EnergyDeveloped supply chain portfolio strategy for $10B 48C investment tax credit across clean energy manufacturing sectorsLead contributing author on MESC Supply Chain Progress Report: https://www.energy.gov/sites/default/files/2023-08/Supply%20Chain%20Progress%20Report%20-%20August%202023.pdf
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  • Sambanova Systems
    Machine Learning Software Engineer
    Sambanova Systems Sep 2021 - Feb 2023
    Palo Alto, Ca, Us
    Developed time series deep learning AI models for enterprise offerings, with a focus on financial applicationsCoordinated multi-functional technical teams across the compiler stack to bring new AI models as Sambanova product offeringsDeveloped multi-lingual 150B GPT language models, including dataset pipelining and model fine-tuning
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  • The Openair Collective
    Policy Advocate
    The Openair Collective Mar 2022 - Jan 2023
    New York City, Us
    Helping advocate for durable negative carbon removal policies and technology. I also host the Carbon Dioxide Removal Horizons Seminar Series: https://www.youtube.com/watch?v=A8ehUpC0VZQ&list=PL1je2pACUAbKvdd-gu4uTIw8VqHTMh7Tr
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  • Actuate
    Research Consultant
    Actuate Nov 2021 - Dec 2022
    Developed system-level expertise for mass timber supply chains, sustainable urbanism, and carbon dioxide removal measurement and verification. Experienced in exploring, ideating, and designing DARPA-stype programs for climate.
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  • Arpa-E
    Tech-To-Market Summer Fellow
    Arpa-E Jun 2021 - Sep 2021
    Washington, Dc, Us
    - Technical Deep Dive into the fundamentals of quantum computing- Interviewed quantum computing experts in industry and academia to better understand the opportunities and challenges of quantum computing- Conducted market assessment of quantum computing technologies and evaluation of the technical barriers to commercialization- Developed prototype ARPA-E program for accelerating quantum computing adoption
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  • Berkeley Lab
    Undergraduate Researcher
    Berkeley Lab Dec 2018 - Jun 2021
    Berkeley, Ca, Us
    - Developing interpretable and explainable machine learning algorithms for the inverse design of nanoscale optical systems- Worked on interdisciplinary team of scientists, engineers, and computer scientists; helped secure multimillion dollar ARPA-E grant to develop AI-powered inverse design algorithms to find better designs for optical metamaterials
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  • University Of California, Gu Group
    Undergraduate Researcher
    University Of California, Gu Group Oct 2018 - Jun 2021
    - Applying machine learning to finite-element problems, with a focus on composite materials
  • Riselab At Uc Berkeley
    Graduate Student Researcher
    Riselab At Uc Berkeley Jan 2020 - May 2021
    - Applied dynamical control theory to improve RNN stability- worked on developing benchmark datasets for physical sciences and machine learning- developed data-free methods for detecting backdoored neural network models as part of the TrojAI IARPA competition
  • Berkeley Innovative Solutions Consulting
    Business Consultant
    Berkeley Innovative Solutions Consulting Sep 2020 - Dec 2020
    - worked on interdisciplinary team to outline M&A strategy for large renewable energy services company- identified organizational integration strategies for after M&A
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  • Pure Storage
    Software Engineering Intern - Machine Learning Team
    Pure Storage Jun 2020 - Aug 2020
    Santa Clara, Ca, Us
    - developed novel time-series anomaly detection methods on large-scale datasets- used parallelization methods to significantly speed up model training
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  • The Aerospace Corporation
    Machine Learning Intern
    The Aerospace Corporation May 2018 - Feb 2019
    El Segundo, California, Us
    -Applied machine learning to additive manufacturing quality control. Used dimensionality reduction techniques for in-situ non-destructive characterization of alloyed samples. Created Custom bagging models to combat class imbalances.-Used Time-series neural networks for anomaly detection in satellite battery telemetry -Developed jupyter notebooks tutorials on deep learning to build up in-house and domain-specific AI expertise
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  • Heliotrope Technologies, Inc.
    R&D Intern
    Heliotrope Technologies, Inc. Oct 2017 - Sep 2018
    Alameda, California, Us
    - Developed streamlined data pipelines for data querying, processing and filtering, modelling and analysis, and visualization. Used SQL, AWS S3, and Python- Applied machine learning techniques to a variety of problems, including image classification for defect detection in pilot-scale manufacturing line, time-resolved model prediction controller, and non destructive spectroscopic characterization. Used Python's Keras, scikit-learn, pandas and numpy libraries, and AWS EC2 instances for Big Data compute.- Implemented models with GUI's and in embedded firmware in our final product, manufacturing line, and research labs.
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  • Virginia Commonwealth University - School Of Engineering
    Research Fellow
    Virginia Commonwealth University - School Of Engineering Aug 2016 - Jun 2017
    Richmond, Virginia, Us
    -Created generative models for wind profile and load profile data to increase network sizes of power grids for improved modelling results-Investigated power grid phenomena such as islanding, micro-grids, renewable energy integration, and forecasting-Developed novel evolutionary algorithms to optimize the sizing and location of Distributed Generation Photovoltaics in power grids using real-world, highly time-resolved data
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  • Virginia Commonwealth University - School Of Engineering
    Research Assistant
    Virginia Commonwealth University - School Of Engineering Feb 2016 - May 2017
    Richmond, Virginia, Us
    -Understanding formation mechanism of Metal Organic Frameworks(MOF) with an application focus on toxic gas capture and storage; photocatalysis; and filtration.-Designing novel synthesis procedures for MOF derived porous carbons, for toxic gas capture, energy storage, and photocatalytic reduction reactions-Experienced in aerosol processing via high-temp tube furnace, electrospinning, as well as in wet chemistry methods.
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Charles Yang Skills

Research Statistical Data Analysis Python Machine Learning Public Speaking Chemical Engineering Renewable Energy Computer Vision Electrocatalysis Deep Learning Java

Charles Yang Education Details

  • Gordon-Conwell Theological Seminary
    Gordon-Conwell Theological Seminary
    Theology/Theological Studies
  • Uc Berkeley College Of Engineering
    Uc Berkeley College Of Engineering
    Electrical Engineering And Computer Science
  • Uc Berkeley College Of Engineering
    Uc Berkeley College Of Engineering
    Electrical Engineering And Computer Science

Frequently Asked Questions about Charles Yang

What company does Charles Yang work for?

Charles Yang works for Stealth

What is Charles Yang's role at the current company?

Charles Yang's current role is building something new.

What is Charles Yang's email address?

Charles Yang's email address is cy****@****lbl.gov

What schools did Charles Yang attend?

Charles Yang attended Gordon-Conwell Theological Seminary, Uc Berkeley College Of Engineering, Uc Berkeley College Of Engineering.

What skills is Charles Yang known for?

Charles Yang has skills like Research, Statistical Data Analysis, Python, Machine Learning, Public Speaking, Chemical Engineering, Renewable Energy, Computer Vision, Electrocatalysis, Deep Learning, Java.

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