Biography

I am a Ph.D. Student in the SEFCOM lab @ ASU. I am interested in solving security problems using machine learning methods. I also share my ideas, thoughts, and CTF writeups on my Medium blog.

Download my resumé.

Interests
  • Machine Learning
  • Computer Security
Education

  • MS in Computer Science, 2022

    University of Southern California

  • BS in Computer Science, 2020

    University of California, Davis

Skills

Python
C
Javascript

Recent News

DARPA Awards $1M to Our Team for AIXCC Competition!
Thrilled to announce 🎉: #ShellPhish, our fantastic team, has been handpicked by DARPA to pioneer the future of cybersecurity! With a $1M boost, we’re crafting an end-to-end pipeline to identify, triage, and fix real-world vulnerabilities. Stay tuned as we redefine digital safety! source: https://twitter.com/DARPA/status/1767233220414779464/
Harry Wang
Last updated on Mar 11, 2024
DARPA Awards $1M to Our Team for AIXCC Competition!

Experience

 
 
 
 
 
Ph.D. Student
ASU SEFCOM
Aug 2022 – Present Arizona
Working on Security Research and Playing CTFs
 
 
 
 
 
Student Worker
University of Southern California
Oct 2021 – May 2022 California
Worked for USC Goverence Risk and Compliance team to analysis risk and propose mitigation plan
 
 
 
 
 
Graduate Research Assistant
University of Southern California
Sep 2020 – May 2022 California
Worked on Federated Learning and Symbolic Execution.
 
 
 
 
 
Software Engineer Intern
Litepoint Coorperation
Jun 2019 – Sep 2019 California
Worked on building an ETL system
 
 
 
 
 
Undergraduate Research Assistant
University of California, Davis
Jan 2018 – Jun 2020 California
Worked on applying NLP technique to Software Engineering

Honors

Arizona State University SCAI Doctoral Fellowship
ASU School of Computing and Augmented Intelligence Aug 2022
Arizona State University Fulton Fellowship
ASU Ira A. Fulton Schools of Engineering Aug 2022
PLWM@PLDI22 Scholarships
PLDI 2022 Jun 2022

Recent Publications

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Bill Yuchen Lin, Chaoyang He, Zihang Zeng, Hulin Wang, Yufen Huang, Mahdi Soltanolkotabi, Xiang Ren, Salman Avestimehr (2021). Fednlp: A research platform for federated learning in natural language processing. In NAACL.

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