Daniel Aranki received his Ph.D. in Computer Science from UC Berkeley in 2017, with a Designated Emphasis in Communication, Computation, and Statistics. He is currently an Assistant Researcher and a Lecturer in the I School, where he has developed and is teaching a course on Privacy Engineering for the Master’s in Cybersecurity (MICS) Program. He also directs the Berkeley Telemonitoring Project and is a Syllabus Developer for courses on privacy to be offered by the I School and the Division of Computing, Data Science, and Society.
In a nutshell, I study remote health monitoring systems and predictive medicine. I enjoy the different aspects of this line of research: forming and testing hypotheses, studying the efficacy of telemonitoring systems, conducting studies with human subjects, and enhancing the cybersecurity and privacy of those systems.
What is an information question that intrigues you?
I am intrigued by the question of understanding, axiomatically, the limits of privacy in information systems. This understanding can lead us to designing systems with the best possible privacy guarantees.
Why did you choose the I School?
Every aspect of the work that I do involves humans at the core, and the research focus that I have touches on many disciplines. The Berkeley I School houses an academically diverse group of researchers, which makes it an ideal place to conduct this line of research. I am looking forward to working with faculty and students on these research problems.
I like to make Arabic calligraphy art when I have free time.
Favorite course you’ve taken or taught:
Taken: computational and complexity theory. Taught: Privacy engineering.
Anything else you would like to share?
I’m looking forward to the academic year and seeing students, staff, and faculty back in person on campus.