About Me

Hello, thanks for visiting my personal wiki. My name is Yiren (Aaron) Zhao.

I am a computer architect, a Machine Learning researcher and an ordinary coder.

I will start as an Assistant Professor (or Lecturer in UK terms) in the Circuits and Systems (CAS) Group at the Department of Electrical and Electronic Engineering at Imperial College London from Oct 2022.

I am currently a research fellow at the Department of Computer Science and Technology at the University of Cambridge.

My reserach focuses on the intersections between hardware, algorithms and security in the Machine Learning world. I am generally intersted in making Machine Learning systems fast, reliable and efficient. Some of my research topics include

  1. How novel hardware architectures improve the efficiency of running ML workloads?
  2. How to tweak current ML algorithms to make them more efficient on today and future’s hardware systems?
  3. ML security related topics with a hardware spin.
  4. What should the next generation data orientated learning system look like?

See advice for students (this includes internships, undegraduate or master projects and PhD applicants), and information for collaborators, if you want to contact me for study or collaborations.

Short Bio

I am a Junior Research Fellow at St John’s College, University of Cambridge. I had my PhD studies at the Computer Lab of University of Cambridge, supervised by Prof. Robert Mullins. I finished my MPhil degree from Cambridge and was supervised by Prof. Robert Mullins as well. Prior to that, I obtained my Electrical and Electronic Engineering BEng degree from the Imperial College London with my final two years supervised by Prof. George Constantinides. During my BEng studies, I was tutored by Dr. Papavassiliou.

I review for a number of hardware, system and machine learning conferences, including ICLR, ICML, NeurIPS, CVPR, etc.

I was a recipient of the Junior Research Fellowship at St John’s College, University of Cambridge in 2021, and was awarded as an Apple Scholar in AI and ML in 2020.