Daniel Uroz

Daniel Uroz, Ph.D.

DFIR Specialist at IndraMind

ResumeLinkedIn

News

Mar 2026
Olé! Our paper MARISSA: Efficient Inference of Network Protocols using Similarity Digest Clustering and Multiple Sequence Algorithms was accepted at IEEE EuroS&P 2026. Congratulations to Pablo Ruiz-Lezcano and Prof. Ricadro J. Rodríguez!
Nov 2025
Olé! Our paper on Structural Analysis of the Windows NT Heap for Memory Forensics was accepted at DFRWS EU 2026. Congratulations to Abraham Díaz-Campo and Prof. Ricadro J. Rodríguez!
Oct 2025
That was short! I am leaving academia until further notice. In the coming days, I will join a DFIR team as a senior analyst.

Professional Profile

DFIR specialist with 9 years of experience in digital forensics and malware analysis. Ph.D. in Cybersecurity, with a track record of participation in international projects and incident response. I seek to contribute my technical, scientific, and knowledge transfer expertise to incident response teams in the private sector.

Work Experience

DFIR Specialist
IndraMind, Spain
Oct 2025–Present
Researcher in DFIR
Universidad de Zaragoza, Zaragoza, Spain
Mar 2018–Oct 2025
Malware Analyst
S21Sec, Madrid, Spain
Dec 2016–Mar 2018

Education

Ph.D. in Cybersecurity
Universidad de Zaragoza, Spain
2024
M.S. in Research in Cybersecurity
Universidad de León, Spain
2020
B.S. in Computer Science
Universidad de Zaragoza, Spain
2016

Professional Contributions

  • International Conferences: DFRWS EU (2020, 2019), HITB (2018), e-Crime (2017)
  • National Conferences: NcN (2022), RootedCON (2018)
  • Publications: EuroS&P (2026), FSIDI (2026, 2020, 2019), JIOT (2022), SPW (2021)

Technical Skills

  • DFIR: Volatility, Autopsy, Wireshark, YARA, Sysinternals Suite
  • Reverse Engineering: WinDbg, IDA Pro, x64dbg, Ghidra, radare2
  • Programming: Python, C/C++, Bash

Languages

  • English: Full professional proficiency
  • Spanish: Native