About
I’m Pamela Delgado, an Assistant Professor at HES-SO Valais-Wallis and a lecturer at EPFL in Switzerland. My research focuses on efficiently managing large-scale/limited resources at the intersection between systems and machine learning. At HES-SO, I am a member of its AI center for SMEs and the steering committee of the Computer Science program. I am also a member of the Swiss Young Academies, a PI at the Swiss AI initiative and part of the SLICES-CH project, of the European SLICES project.
Before joining HES-SO, I worked as a senior computer scientist at the Swiss Data Science Center (SDSC) as part of the Renku data science platform team.
I received my Ph.D. from EPFL in 2018 where I was advised by Willy Zwaenepoel. My dissertation was distinguished with an honorable mention of the Distinguished Disertation award from SPEC and nominated for the EPFL’s Doctoral Program Distinction. My PhD research was generously supported by Microsoft Research as part of the Swiss Joint Research Center. I also obtained the Google Anita Borg Memorial Scholarship. I have been a research intern at Microsoft Research in Cambridge, UK.
Previously, I got my master’s degree in Computer Science from EPFL funded by the Swiss Government Excellence Scholarship for Foreign Students (ESKAS). In a more distant past, I have worked in the software engineering industry and graduated with honors from a Computer Science bachelor at UCB in Bolivia. During the bachelor studies I was an exchange student at Pontificial Universidad Católica de Chile (PUC) thanks to an academic excellence scholarship.
News
- I have been awarded with an SNSF funding project grant ! the project will cover the interesting and timely topic of resource-efficient GPU orchestration for Deep Learning workloads. I am looking for a PhD student to work on this. The project is going to be in collaboration with Pinar Tozun from ITU in Denmark.
- Together with Thaleia Doudali we are organizing an AMLD track entitled “AI in data and computer systems”.
- I am the PC Chair of the AI days of the HES-SO https://ai-days.swiss-ai-center.ch/.
- Great discussions at the Dagstuhl seminar in Resource-efficient Machine Learning https://www.dagstuhl.de/en/seminars/seminar-calendar/seminar-details/24311
Full CV_3_2025.