William Zhou

AI Research Intern at Consensus
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Contact Information
Location
Los Angeles, California, United States, US

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Bio

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Credentials

  • Algorithms Specialization
    Coursera
    Dec, 2021
    - Sep, 2024
  • Developing Business Proposals: A Framework for Outstanding Results
    University of Calgary
    Dec, 2021
    - Sep, 2024
  • Project Management for the Non-Profit Sector Orientation
    University of Calgary
    Dec, 2021
    - Sep, 2024
  • Shortest Paths Revisited, NP-Complete Problems and What To Do About Them
    Coursera
    Dec, 2021
    - Sep, 2024
  • Strategies for Building and Leading High-Performance Teams
    University of Calgary
    Dec, 2021
    - Sep, 2024
  • Divide and Conquer, Sorting and Searching, and Randomized Algorithms
    Coursera
    Nov, 2021
    - Sep, 2024
  • Graph Search, Shortest Paths, and Data Structures
    Coursera
    Nov, 2021
    - Sep, 2024
  • Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming
    Coursera
    Nov, 2021
    - Sep, 2024

Experience

    • United States
    • Technology, Information and Internet
    • AI Research Intern
      • Jun 2023 - Present

      I’m currently working as an AI Intern at Consensus NLP, a company dedicated to revolutionizing scientific search using natural language processing (NLP) technologies. In my role at Consensus, I am responsible for: - Building, evaluating, and deploying various machine learning models to enhance the Consensus product’s capabilities. - Researching and benchmarking cutting-edge NLP models to improve search accuracy and efficiency. - Utilizing programming languages and tools such as Python, TensorFlow, and PyTorch to implement and optimize machine learning algorithms. Show less

    • Information Services
    • 1 - 100 Employee
    • Researcher
      • Aug 2022 - Present

      Developing machine learning (ML) models to analyze the relationship between ovarian cancer cell features and cancer progression to produce lab-testable correlations.

    • Career Peer Intern
      • Aug 2022 - Mar 2023

      Working at the Career Center at UCLA! Advising peers at UCLA on resumes and providing information on career fairs and opportunities.

    • United States
    • Research Services
    • 1 - 100 Employee
    • Workshops and Computational Resources Director
      • Oct 2022 - Present

      - Organized the Machine Learning for Alignment Bootcamp (MLAB) workshops, a course series designed to upskill newcomers in mechanistic interpretability. - Sysadmined (maintained access and upkeep) for the X-Lab's workstation. - Aided with ideas and code at ART: AI Safety at UCLA's Alignment Research Team. - Organized the Machine Learning for Alignment Bootcamp (MLAB) workshops, a course series designed to upskill newcomers in mechanistic interpretability. - Sysadmined (maintained access and upkeep) for the X-Lab's workstation. - Aided with ideas and code at ART: AI Safety at UCLA's Alignment Research Team.

    • United Kingdom
    • Philanthropy
    • 1 - 100 Employee
    • Effective Altruism Global 2023
      • Feb 2023 - Feb 2023

      Attended the Effective Altruism Global 2023 (EAG) conference in Oakland on cost-effective interventions, existential risk, and AI safety and interpretability research. Attended the Effective Altruism Global 2023 (EAG) conference in Oakland on cost-effective interventions, existential risk, and AI safety and interpretability research.

    • Events Services
    • 1 - 100 Employee
    • AI Safety and X-Risk at UC Berkeley
      • Nov 2022 - Nov 2022

      Invited to GCP's AI Safety and X-risk Workshop at Berkeley's group of 20 from across America. - Discussed ideas from bio-risk and eliciting latent knowledge (ELK) to the anthropic principle. Invited to GCP's AI Safety and X-risk Workshop at Berkeley's group of 20 from across America. - Discussed ideas from bio-risk and eliciting latent knowledge (ELK) to the anthropic principle.

    • Canada
    • Higher Education
    • 700 & Above Employee
    • Researcher
      • May 2021 - Jul 2022

      Student researcher at the Biometrics lab at the Schulich School of Engineering at the University of Calgary. Developed software and machine-learning models to predict and monitor stroke patient status at the Alberta Foothills Medical Center. Student researcher at the Biometrics lab at the Schulich School of Engineering at the University of Calgary. Developed software and machine-learning models to predict and monitor stroke patient status at the Alberta Foothills Medical Center.

    • Technical Manager
      • May 2021 - Aug 2021

      Launched BCharity, a platform to allow users to donate to charities using cryptocurrency tokens. Achieved $21,000 USD in total user currency by the end of the summer by collaborating with 4+ cryptocurrency space organizations. Launched BCharity, a platform to allow users to donate to charities using cryptocurrency tokens. Achieved $21,000 USD in total user currency by the end of the summer by collaborating with 4+ cryptocurrency space organizations.

    • Team Lead
      • Aug 2020 - Nov 2020

      Coordinated a team of four student developers as a Team Lead for the BCharity project, funded by the Canadian government. - Formalized software requirements and outlined the vision for the final product. - Orchestrated weekly briefings and set up team to-do lists. - Held team-building events. Coordinated a team of four student developers as a Team Lead for the BCharity project, funded by the Canadian government. - Formalized software requirements and outlined the vision for the final product. - Orchestrated weekly briefings and set up team to-do lists. - Held team-building events.

Education

  • University of California, Los Angeles
    Bachelor's degree, Computer Science, Computer Science
    2022 - 2026
  • Westmount Charter School
    High School Diploma, Biomathematics, Bioinformatics, and Computational Biology
    2012 - 2022

Community

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