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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Adam Štorek - Academic Profile</title>
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<style>
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</head>
<body>
<div class="header">
<img src="assets/img/profile.jpg" alt="Adam Štorek" class="profile-img">
<div class="header-content">
<h1>Adam Štorek</h1>
<p class="title">PhD Student in Computer Science at Columbia University</p>
<p>
I am a third-year PhD student advised by <a href="https://sumanj.info" target="_blank">Professor Suman Jana</a>. 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.
</p>
<div class="contact-links">
<a id="email-link" href="#">
✉️
<span id="email-display">Loading................</span>
</a>
<a href="https://github.com/adamstorek">
⚡
<span>GitHub</span>
</a>
<a href="https://linkedin.com/in/adam-storek">
👔
<span>LinkedIn</span>
</a>
</div>
</div>
</div>
<section class="education-section">
<h2>
🎓 Education
</h2>
<div>
<h3 class="institution-header">Columbia University</h3>
<div class="education-item">
<div class="logo-container">
<img src="assets/img/columbia.jpg" alt="Columbia University logo">
</div>
<div class="education-content">
<div class="header-section">
<div class="degree-info">
<div class="degree-name">PhD in Computer Science</div>
<div class="degree-details">Advised by Professor Suman Jana</div>
</div>
<div>
<div class="location">New York, NY</div>
<div class="experience-date">Expected December 2027</div>
</div>
</div>
</div>
</div>
<div class="education-item">
<div class="logo-container">
<img src="assets/img/columbia.jpg" alt="Columbia University logo">
</div>
<div class="education-content">
<div class="header-section">
<div class="degree-info">
<div class="degree-name">MS in Computer Science</div>
<div class="degree-details">Security track</div>
</div>
<div>
<div class="location">New York, NY</div>
<div class="experience-date">December 2022</div>
</div>
</div>
</div>
</div>
<div class="education-item">
<div class="logo-container">
<img src="assets/img/columbia.jpg" alt="Columbia University logo">
</div>
<div class="education-content">
<div class="header-section">
<div class="degree-info">
<div class="degree-name">BA in Computer Science</div>
<div class="degree-details">Intelligent Systems track, Magna Cum Laude, Phi Beta Kappa</div>
</div>
<div>
<div class="location">New York, NY</div>
<div class="experience-date">December 2021</div>
</div>
</div>
</div>
</div>
</div>
<div>
<h3 class="institution-header">Sciences Po</h3>
<div class="education-item">
<div class="logo-container">
<img src="assets/img/sciencespo.jpg" alt="Sciences Po logo">
</div>
<div class="education-content">
<div class="header-section">
<div class="degree-info">
<div class="degree-name">BA in Economics and Sociology</div>
<div class="degree-details">Mention Cum Laude (Top 10% of the class)</div>
</div>
<div>
<div class="location">Paris, France</div>
<div class="experience-date">December 2021</div>
</div>
</div>
</div>
</div>
</div>
</section>
<section>
<h2>
💼
Professional Experience
</h2>
<div class="experience-item">
<div class="logo-container">
<img src="assets/img/oracle.jpg" alt="Oracle logo">
</div>
<div class="experience-content">
<div class="header-section">
<div class="company-info">
<div class="company-name">Oracle</div>
<div class="role">Incoming GenAI PhD Research Intern @ Oracle Cloud Infrastructure</div>
</div>
<div>
<div class="location">Redwood City, CA</div>
<div class="experience-date">Summer 2025</div>
</div>
</div>
<ul class="achievements">
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.
</ul>
</div>
</div>
<div class="experience-item">
<div class="logo-container">
<img src="assets/img/mandiant.jpg" alt="Mandiant logo">
</div>
<div class="experience-content">
<div class="header-section">
<div class="company-info">
<div class="company-name">Mandiant (now Google)</div>
<div class="role">Intern, Reverse Engineering & Malware Analysis @ FLARE</div>
</div>
<div>
<div class="location">Reston, VA</div>
<div class="experience-date">Summer 2022</div>
</div>
</div>
<ul class="achievements">
<li>Reverse-engineered cutting-edge C/C++ and PowerShell malware to support Mandiant's incident responders.</li>
<li>Led development of CAPA-scripts, a malware analysis automation tool that identifies malicious capabilities of scripts written in C#/.NET and Python.</li>
</ul>
</div>
</div>
<div class="experience-item">
<div class="logo-container">
<img src="assets/img/moderna.jpg" alt="Moderna logo">
</div>
<div class="experience-content">
<div class="header-section">
<div class="company-info">
<div class="company-name">Moderna</div>
<div class="role">Intern, Data Science & AI</div>
</div>
<div>
<div class="location">Cambridge, MA</div>
<div class="experience-date">Summer 2020</div>
</div>
</div>
<ul class="achievements">
<li>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.</li>
<li>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.</li>
</ul>
</div>
</div>
</section>
<section>
<h2>
📄
Publications
</h2>
<div class="publication">
<p>
<span class="conference">CCS 2024</span> · FOX: Coverage-guided Fuzzing as Online Stochastic Control [<a href="https://arxiv.org/abs/2406.04517" target="_blank">paper</a>] [<a href="https://github.com/FOX-Fuzz/FOX" target="_blank">code</a>]
</p>
<p>
Dongdong She*, <span class="author-name">Adam Storek*</span>, Yuchong Xie, Seoyoung Kweon, Prashast Srivastava, and Suman Jana
</p>
</div>
<div class="publication">
<p>
<span class="conference">ACL 2023</span> · Unsupervised Selective Rationalization with Noise Injection [<a href="https://aclanthology.org/2023.acl-long.707/" target="_blank">paper</a>] [<a href="https://github.com/adamstorek/noise_injection" target="_blank">code</a>]
</p>
<p>
<span class="author-name">Adam Storek</span>, Melanie Subbiah, and Kathleen McKeown
</p>
</div>
</section>
<section>
<h2>
🏆
Awards
</h2>
<ul class="awards-list">
<li>Amazon Trusted AI Challenge Sponsorship: $150k/month for AWS, $250k grant (2024-2025)</li>
<li>CCS Travel Grant (2024)</li>
<li>Black Hat Student Scholarship (2023)</li>
<li>Vidda Foundation Merit Scholarship (2021-2022)</li>
<li>William Strong Merit Scholarship (2020-2021)</li>
</ul>
</section>
<section class="section">
<h2>
🔬
Academic Service
</h2>
<div class="service-item">
<div class="experience-content">
<div class="company-name">
Conference Reviewer
</div>
<div class="role">
EMNLP 2022
</div>
</div>
</div>
</section>
<section class="section">
<h2>
📊
Teaching
</h2>
<div class="experience-item">
<div class="logo-container">
<img src="assets/img/columbia.jpg" alt="Columbia University logo">
</div>
<div class="experience-content">
<div class="header-section">
<div class="company-info">
<div class="company-name">Columbia University</div>
<div class="role">Head Teaching Assistant for Security I</div>
</div>
<div>
<div class="location">New York, NY</div>
<div class="experience-date">Fall 2024</div>
</div>
</div>
</div>
</div>
<div class="experience-item">
<div class="logo-container">
<img src="assets/img/columbia.jpg" alt="Columbia University logo">
</div>
<div class="experience-content">
<div class="header-section">
<div class="company-info">
<div class="company-name">Columbia University</div>
<div class="role">Course Developer with <a href="https://www.linkedin.com/in/mikesiko" target="_blank">Mike Sikorski</a></div>
</div>
<div>
<div class="location">New York, NY</div>
<div class="experience-date">Summer 2023</div>
</div>
</div>
<ul>
<li>Developed hands-on labs analyzing notable malware (WannaCry, Sony/Destover) for the Malware Analysis & Reverse Engineering class curriculum taught at Columbia University and BlackHat.</li>
</ul>
</div>
</div>
<div class="experience-item">
<div class="logo-container">
<img src="assets/img/columbia.jpg" alt="Columbia University logo">
</div>
<div class="experience-content">
<div class="header-section">
<div class="company-info">
<div class="company-name">Columbia University</div>
<div class="role">Head Teaching Assistant for Computer Vision I</div>
</div>
<div>
<div class="location">New York, NY</div>
<div class="experience-date">Fall 2021</div>
</div>
</div>
</div>
</div>
<div class="experience-item">
<div class="logo-container">
<img src="assets/img/columbia.jpg" alt="Columbia University logo">
</div>
<div class="experience-content">
<div class="header-section">
<div class="company-info">
<div class="company-name">Columbia University</div>
<div class="role">Course Developer with <a href="https://www.cs.columbia.edu/~nayar/" target="_blank">Professor Shree Nayar</a></div>
</div>
<div>
<div class="location">New York, NY</div>
<div class="experience-date">Summer 2021</div>
</div>
</div>
<ul>
<li>Developed content for the <a href="https://www.coursera.org/specializations/firstprinciplesofcomputervision" target="_blank">First Principles of Computer Vision Specialization</a> on Coursera.</li>
</ul>
</div>
</div>
</section>
<section class="skills">
<h2>
🛠️
Technical Skills
</h2>
<p><strong>Languages:</strong> Python, MATLAB, C/C++, Java, Go, x86, x64</p>
<p><strong>Skills:</strong> Cloud Compute (AWS, GCP, Azure), Linux, PyTorch, transformers, vLLM, Pyro, Ida Pro, Ghidra, LLVM</p>
</section>
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