About me
I am a systems researcher working on AI safety. My background is in computer architecture, and my work has focused on security and privacy. My current work is on compute verification and on training-time safety monitoring. See my Research page for details; if you are interested in either project, please reach out. My work in computer architecture, privacy, and secure computation has appeared in ISCA, ASPLOS, PLDI, FPL, BMVC, and TMLR.
I am a Fellow at MATS Research in Berkeley, CA, where I work on compute verification with James Petrie (Future of Life Institute). Through the ERA:AI Fellowship in Technical AI Governance (Cambridge, UK), I work on training-time safety monitoring with Alan Cooney (Google DeepMind). Before these fellowships, I co-developed neural tracing for mechanistic interpretability of LLMs and bio-foundation models with collaborators at the Allen Institute, and I was a research scientist at Meta Reality Labs Research, where I worked on energy-efficient system design for smart glasses, system-level power modeling for wearable devices, and privacy research for extended reality.
I received my PhD from UC Santa Barbara, where I worked with Prof. Tim Sherwood on the design of private computer systems. My dissertation, “A System-level Framework for Privacy”, introduced trace wringing, a technique for sharing program behavior with verifiable bounds on information leakage. I am a Rising Stars in EECS alumna, my SoK on hardware-software-security codesign was cited in the US National Strategy on Microelectronics Research, and trace wringing was recognized as an IEEE Micro Top Pick.
I am on the job market for research positions in industry and academia, including faculty positions. Please feel free to reach out at deekshadangwal [at] gmail [dot] com.
📰 News
- [Fall 2026] I am co-mentoring a SPAR project on constraint drift through delegation hierarchies with Abhejit Rajagopal.
- [September 2026] I joined MATS Research in Berkeley, CA as a Fellow, working on compute verification.
- [July 2026] I started the ERA:AI Fellowship in Technical AI Governance in Cambridge, UK.
- [2026] Our paper "The Need for Computational Pluralism" was accepted at the Workshop on Ethical Systems and Architecture Design (HotEthics) 2026.
- [September 2025] I represented CRA and Washington State at CRA Congressional Visit Day in Washington, D.C.
- [July 2025] I was an invited participant in the CCC Future of AI Research in Industry workshop.
- [June 2025] I gave a talk on "Performance, Power, and Privacy: Codesign Strategies for Always-On Wearables" at Washington State University, Pullman.
- [May 2025] I was an invited participant in the CCC Computing Futures Symposium.
- [May 2025] I gave a talk on "Privacy and Security in the age of Metaverse" at Washington State University, Everett.
🎓 Education
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Doctor of Philosophy, Computer Science
University of California, Santa Barbara -
Master of Science, Electrical and Computer Engineering
University of California, Santa Barbara -
Bachelor of Engineering, Instrumentation and Electronics
Ramaiah Institute of Technology, Bangalore, India
🏆 Awards and Honors
- [2024] Our paper (HASP'20) appears in the United States National Strategy on Microelectronics Research
- [2021] UCSB Grad Slam Runner-up: "Privacy through Wringing"
- [2020] Rising Stars in EECS, UC Berkeley
- [2020] IEEE Micro Top Pick: "Trace Wringing for Program Trace Privacy"
- [2020] UCSB Graduate Division's Fiona and Michael Goodchild Graduate Mentoring Award
- [2020] UCSB Department of Computer Science Outstanding Graduate Student Award