The CSE Fellows Program is intended to support exceptional postdoctoral researchers in computer science. The program seeks to recruit 1-3 fellows a year for a two year postdoctoral appointment working alongside a UCSD CSE faculty mentor.
Fellows will be joining a vibrant CS research community and will have access to the broader UCSD research enterprise, including the Halicioglu Data Science Institute, San Diego SuperComputer, the Design Lab, and UCSD Health.
The goal of this program is to enhance the diversity of research at UCSD CSE, while also preparing the Fellows for careers in academia or industry, and to offer opportunities for student mentorship, grant writing, and collaboration across disciplines.
2021 CSE FELLOW PROGRAM
Applications are due July 30, 2021.
Decisions will be made by August 6th.
2020 CSE FELLOWS
Samira Mirbagher Ajorpaz
Faculty Mentor: Dean Tullsen
Ph.D., Texas A&M
Mirbagher Ajorpaz studies computer architecture, machine learning and computer system security. She works on designing prediction units into processors to increase efficiency; exploring machine learning technologies to fit into microprocessors’ small scale and tight timing margins; and developing more secure processor designs. In winter 2021, Ajorpaz is teaching CSE 240C, Advanced Microarchitecture.
Faculty Mentor: Scott Klemmer
Ph.D., Stanford University
Jane E studies the intersection between human-computer interaction, computer graphics and photography. Creative endeavors can be intimidating and sometimes it’s hard to get expert advice. The solution may be building coaching directly into the creative tool. These embedded insights could help photographers understand lighting, composition, etc. During her thesis work, she focused on designing camera guidance tools that could help novice photographers assess their artistic choices. Now, she wants to extend this coaching to other creative areas.
Faculty Mentors: Geoff Voelker and Stefan Savage
Ph.D. candidate, UC Berkeley
Grant Ho studies computer security with a special focus on the intersection between data and security. He develops algorithms, systems and empirical insights to help organizations thwart sophisticated attacks. At CSE, he will study new defenses against targeted enterprise attacks, which have generated billions in losses, developing approaches that identify and mitigate attacks to make organizations more resilient and secure.
Faculty Mentors: Deian Stefan and Nadia Heninger
Ph.D.: Worcester Polytechnic Institute
Daniel Moghimi studies computer security, focusing on side-channel cryptanalysis, microarchitectural security and hardware-based trusted computing. At CSE, he will leverage algorithmic approaches and compiler-based techniques to build automated analysis tools and architectural security primitives, automatically testing the security of trusted applications and defining new execution models to support data privacy.