117 lines
2.8 KiB
YAML
117 lines
2.8 KiB
YAML
schema: hugoblox/author/v1
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slug: me
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is_owner: true
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name:
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display: Dr. Alex Johnson
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given: Alex
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family: Johnson
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alternate: '' # Example: 王伟
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pronunciation: '' # Example: Wáng Wěi
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pronouns: he/him
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postnominals:
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- PhD
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- MIEEE
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status:
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icon: "☕️"
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role: Senior AI Research Scientist
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bio: |
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Alex Johnson is a Senior AI Research Scientist at Meta AI. His research
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has been published in top conferences like NeurIPS and ICML, with over
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10,000 citations. Alex is passionate about pushing the boundaries of AI
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while ensuring ethical development.
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affiliations:
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- name: Meta AI
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url: https://ai.meta.com/
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links:
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- icon: at-symbol
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url: mailto:alex.johnson@example.com
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label: E-mail Me
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- icon: brands/x
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url: https://x.com/example
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- icon: brands/github
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url: https://github.com/example
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- icon: brands/linkedin
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url: https://www.linkedin.com/in/example/
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- icon: academicons/google-scholar
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url: https://scholar.google.com/citations?user=example
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- icon: academicons/orcid
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url: https://orcid.org/0000-0002-1825-0097
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interests:
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- Large Language Models
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- Computer Vision
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- Reinforcement Learning
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- AI Ethics
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education:
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- degree: PhD Computer Science
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institution: Stanford University
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start: 2015-09-01
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end: 2019-06-30
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summary: |
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Thesis on scaling laws for neural language models. Published 5 papers in NeurIPS and ICML.
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button:
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text: Download dissertation
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url: /resume.pdf
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icon: hero/arrow-down-tray
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- degree: MS Computer Science
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institution: Carnegie Mellon University
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start: 2013-09-01
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end: 2015-05-31
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- degree: BS Computer Science
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institution: MIT
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start: 2009-09-01
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end: 2013-05-31
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experience:
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- role: Senior AI Research Scientist
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org: Meta AI
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start: 2020-01-01
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summary: |
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Leading research on multimodal AI systems. Contributed to Llama 2 and other open-source models.
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button:
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text: View portfolio
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url: /
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icon: hero/arrow-down-tray
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- role: AI Research Intern
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org: OpenAI
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start: 2019-06-01
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end: 2019-12-31
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summary: |
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Worked on GPT-3 scaling. Co-authored paper on prompt engineering.
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skills:
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- name: Technical Skills
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items:
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- label: Pytho
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level: 5
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- label: Machine Learning
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level: 5
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- label: Cloud Computing
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level: 4
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- name: Research & Communication
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items:
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- label: Academic Writing
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level: 5
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- label: Conference Presentations
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level: 4
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- label: Grant Proposals
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level: 4
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languages:
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- name: English
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level: 5
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label: Native
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- name: Spanish
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level: 4
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label: Fluent
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awards:
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- title: Best Paper Award
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awarder: NeurIPS
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date: "2022-12-01"
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summary: Awarded for groundbreaking work on efficient training of large models.
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icon: hero/trophy
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