Adam Štorek

Adam Štorek

PhD Student in Computer Science at Columbia University

I am a third-year PhD student advised by Professor Suman Jana. My research interests lie at the intersection of natural language processing, program analysis, and software security. My recent work focuses on adversarial attacks against coding assistants and model alignment for secure code generation.

🎓 Education

Columbia University

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PhD in Computer Science
Advised by Professor Suman Jana
New York, NY
Expected December 2027
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MS in Computer Science
Security track
New York, NY
December 2022
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BA in Computer Science
Intelligent Systems track, Magna Cum Laude, Phi Beta Kappa
New York, NY
December 2021

Sciences Po

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BA in Economics and Sociology
Mention Cum Laude (Top 10% of the class)
Paris, France
December 2021

💼 Professional Experience

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Oracle
Incoming GenAI PhD Research Intern @ Oracle Cloud Infrastructure
Redwood City, CA
Summer 2025
    My team's focus is on building distributed, scalable, high-performance AI model training and serving systems. This will directly contribute to Oracle's next generation of enterprise-scale GenAI services, at a particularly exciting time as Project Stargate ushers in a new era of AI infrastructure.
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Mandiant (now Google)
Intern, Reverse Engineering & Malware Analysis @ FLARE
Reston, VA
Summer 2022
  • Reverse-engineered cutting-edge C/C++ and PowerShell malware to support Mandiant's incident responders.
  • Led development of CAPA-scripts, a malware analysis automation tool that identifies malicious capabilities of scripts written in C#/.NET and Python.
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Moderna
Intern, Data Science & AI
Cambridge, MA
Summer 2020
  • Developed a Bayesian-network model for clinical trial enrollment and completion, doubling the predictive accuracy compared to the previous model based on the relative WAIC scores and LOOCV.
  • Created a Python geospatial visualization tool for the Covid-19 vaccine Phase 3 trial sites based on datasets extracted from the US Census, enabling Moderna to target at-risk groups and improve trial enrollment.

📄 Publications

CCS 2024 · FOX: Coverage-guided Fuzzing as Online Stochastic Control [paper] [code]

Dongdong She*, Adam Storek*, Yuchong Xie, Seoyoung Kweon, Prashast Srivastava, and Suman Jana

ACL 2023 · Unsupervised Selective Rationalization with Noise Injection [paper] [code]

Adam Storek, Melanie Subbiah, and Kathleen McKeown

🏆 Awards

🔬 Academic Service

Conference Reviewer
EMNLP 2022

📊 Teaching

Columbia University logo
Columbia University
Head Teaching Assistant for Security I
New York, NY
Fall 2024
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Columbia University
Course Developer with Mike Sikorski
New York, NY
Summer 2023
  • Developed hands-on labs analyzing notable malware (WannaCry, Sony/Destover) for the Malware Analysis & Reverse Engineering class curriculum taught at Columbia University and BlackHat.
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Columbia University
Head Teaching Assistant for Computer Vision I
New York, NY
Fall 2021
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Columbia University
Course Developer with Professor Shree Nayar
New York, NY
Summer 2021

🛠️ Technical Skills

Languages: Python, MATLAB, C/C++, Java, Go, x86, x64

Skills: Cloud Compute (AWS, GCP, Azure), Linux, PyTorch, transformers, vLLM, Pyro, Ida Pro, Ghidra, LLVM