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General Information

Full Name Daniel Alfasi
Languages English, Hebrew

Education

  • 2020-2023
    MSc
    Reichman University, Herzliya, Israel
    • Working on a thesis in the field of vulnerability management and security entities linkage.
    • Utilizing knowledge graph reasoning, representation learning, and language models.
    • Part of DEEPNESS-lab.
    • GPA: 92.37 (Completed all courses)
  • 2015-1017
    BSc
    Ariel University, Ariel, Israel
    • GPA: 90
    • Completed the cybersecurity track as part of the Cyber Innovation Center.

Experience

  • 2022-Today
    Researcher
    DEEPNESS-lab
    • Thesis research topic: Security entities linkage and reasoning using knowledge graphs.
  • 2023-Today
    Data Scientist
    CyberArk, IL
    • Designing various machine learning models for security use cases
    • Anomaly detection, classification, and clustering
    • Data-centric AI
  • 2021-2023
    Software Engineer
    CyberArk, IL
    • Architected and developed algorithm for attacks detection
    • Secure cloud deployments in AWS using CDK
    • Designed and executed scalability benchmarks for processing up to 2 million syslogs per second
    • DevOps and Security duties, including deployment and monitoring tool management
  • 2019-2020
    Researcher
    Surecomp - Innovation Lab
    • Conducted thorough examination and research of novel technologies and ideas proposed by the team
    • Designed and implemented ML models for fraud detection in trade finance
    • Won the company's hackathon
  • 2018-2019
    Software Engineer
    Illusive Networks (Team8 company)
  • 2016-2018
    Software Engineer
    Perfecto Mobile (acquired by Perforce)

Honors and Awards

  • 2016
    • Dean's List

Academic Interests

  • Representation Learning
    • Deep learning with graph, knowledge graph embedding
    • Language models for semantic search
  • Natural language processing
  • Cyber Security
    • Common vulnerability and exposure (CVE)
    • Cloud Security

Other Interests

  • Hobbies: Surfing and running.