Emily Stamm

Emily StammEmily StammEmily Stamm

Emily Stamm

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    • Home
    • About
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    • Resources
      • Cryptography
      • Quantum Computing
  • Home
  • About
  • Talks
  • Papers
  • Contact
  • Blog
  • Resources
    • Cryptography
    • Quantum Computing
Cryptography | Quantum Computing | Math | DEI

About

Published author, public speaker, and nonprofit leader with over five years of experience in engineering, research, and consulting in quantum computing, cryptography, and machine learning, and a proven ability to quickly master new technologies and concepts. Cofounder of CSNP, a nonprofit providing acccessible cybersec

Learn more about CSNP (CyberSecurity NonProfit)

Career

Senior Consultant at Ernst & Young

2022- 2023 

Consulted with a financial services company to assess and improve their cryptography and key management practices, focusing on Hardware Security Module (HSM) and Random Number Generation (RNG) methods, securing the certificate authority (CA), and managing certificates. Identified areas for improvement in their cryptographic infrastructure and provided strategic recommendations to enhance their security against emerging cyber threats. Conducted a detailed evaluation of various vendors' claims about their products' quantum security capabilities, including a review of a post-quantum cryptography solution from an EY partner. Drafted white paper on post-quantum cryptographic algorithms, such as CRYSTALS, FALCON, and SPHINCS+, covering aspects like key size, security levels, and scalability, and revised papers on transitioning to post-quantum cryptography and quantum computing principles.

CEO/President of CSNP

2022 - Present

CyberSecurity NonProfit (CSNP) is a 501(c)(3) nonprofit organization that provides free security education and resources to make cybersecurity more accessible, inclusive, and diverse. We provide events, webinars, workshops, mentorship, and bootcamps in security for free. 

CSNP

Senior Consultant at Protiviti

2020 - Present 

Consulted, engineered, and researched quantum computing, machine learning, and cryptography.  Built an interface for machine learning classification algorithms (VQC, QSVM, Neural Networks) for easy scaling and parameter tuning using Q#, Qiskit, Pennylane, Scikit-Learn, and Tensorflow/Keras, run performance tests, and create visualizations.   Devised strategies and assessments for post-quantum cryptography readiness and crypto-agility.  Presented at workshops and discuss the applications of quantum computing in the financial industry.  Analyzed and demonstrate attacks on classical cryptography algorithms.

COO/Vice President of CSNP

2019 - 2022

Security Researcher at Allstate

2018 - 2020

Researched and implemented classical and post-quantum cryptographic algorithms and cryptanalysis attacks. Create and maintain company-wide cryptography standards and guides.  Proposed and developed cryptographic libraries and services in C/C++ and C#/.Net Core.      

Conducted in-depth research and coauthored a comparative study on elliptic curve pairing and lattice-based post-quantum IBE. 

Technical Experience

ENGINEERING Python | C / C++  | C# / .Net Core | Dart / Flutter | Common Lisp | AWS & Azure | Jenkins QUANTUM Qiskit | PennyLane | Pyquil | Ocean | Q# | Braket 

MACHINE LEARNING Keras | Tensorflow | Torch | Scikit-Learn | Pandas | Spacy | Matplotlib

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