Daniel Moghimi

I am a computer scientist & security researcher who enjoys hacking on complex systems, developing tools for security analysis, and designing and evaluating new architectures to improve data security and privacy.

As a research scientist at Google, I lead several projects aimed at ensuring that high-performance computers and processors that run AI and other workloads strike the right balance between security and performance.

Toward this goal, I focus on various problem spaces such as memory safety, hardware and microarchitectural vulnerabilities, side channels, and reliable cryptographic implementations.

You can read more about my past & current projects.

Academia: My last academic position was a postdoctoral fellow at UC San Diego. During that time, I received several tenure-track faculty offers from top 10 universities in the U.S. but ultimately chose to pursue an industry research career. I continue to engage in academic activities, including serving on program committees, mentoring PhD students, authoring research papers, and giving talks at academic conferences.

Vulnerability Discovery: I occasionally discover critical vulnerabilities, some of which led to presentations at Black Hat, one of the most prestigious computer security venues, in 2020 & 2023.

Press Coverage: Some of my findings have been covered by popular tech press:

I also write about systems and processor security on my blog and share updates on Twitter/X and LinkedIn.