Curriculum Vitae

Figure 1: Me (in red).

Ph.D. Candidate
in Computer Science and Engineering
at UC Santa Cruz
advised by Yang Liu

rraab [at] ucsc (dot) edu
Google Scholar


My current research involves the dynamics of multiagent systems and the alignment of local incentives with global objectives. My background is in physics, with experience in scientific computing, signal processing, and electronics. I spent a few years between undergrad and grad school backpacking abroad, remotely developing software related to automated circuit design.

Research Interests

  • Multiagent systems, algorithmic game theory
  • Theories of collective learning
  • Fundamental physical limits of computation


  • Non-linear dynamics, signal-processing, optimization
  • Multiple programming paradigms (C, Python, JavaScript, Lisp, Haskell, Prolog, Shell)

Work & Research

Liu Group: Human-Centered Machine Learning
Sept. 2019 – Present
Graduate Student Researcher
Santa Cruz, CA
Dynamics of multiagent human-AI systems
Evolutionary game theory, reinforcement learning, control theory
Fairness, incentive alignment, domain adaptation
Breadware, Inc.
Oct. 2016 – Aug. 2018
Software Developer
Reno, Nevada
Design of full-stack Internet-of-Things solutions
Development of electronic design automation tools
Martinis Group: Josephson Junction Quantum Computing
Feb 2013 – Jun. 2015
Undergraduate Intern, California NanoSystems Institute
Santa Barbara, CA
Fabrication, assembly, and testing of custom hardware
Characterization and reduction of noise in GHz qubit-control signal chain
Thesis on single-qubit gate error induced by signal-chain imperfections
Nguyen Group: Organic Electronic Devices and Characterization
Jan 2011 – July 2011
Undergraduate Intern, Center for Energy Efficient Materials
Santa Barbara, CA
Organic semiconductor device fabrication and characterization
Surface morphology and exciton diffusion length measurements


University of California, Santa Cruz
Sept 2019 – Present
PhD in Computer Science and Engineering
Santa Cruz, CA
ARCS Scholar (2022)
UC Regent's Fellowship (2019)
Dean's Fellowship (2019)
University of California, Santa Barbara
Fall 2011 – Spring 2015
BSc in Physics, College of Creative Studies
Santa Barbara, CA
High Honors
Distinction in the Major
UC Education Abroad Program
Fall 2013
The University of Edinburgh
Edinburgh, Scotland
UCEAP Scholarship
UCSB EAP Scholarship

Teaching Experience

Course Design Consultant
Spring 2021
Machine Learning Basics: Data Analysis and Empirical Methods
UC Santa Cruz
Design of interactive assignments using Python, GitLab CI hooks
Led team to design and score written assignments and exams
Teaching Assistant
Fall 2020
Machine Learning
UC Santa Cruz
Authored and graded assignments; led discussion sections
Teaching Assistant and Residential Mentor
Summer 2016
The Summer Science Program (Astrophysics)
Socorro, NM
Supervised advanced high school students in university living environment
Curriculum of observational astronomy, celestial mechanics, programming, mathematics
Teaching Assistant and Residential Mentor
Summer 2015
The Summer Science Program (Astrophysics)
Boulder, CO
Same as above

Honors & Awards

ARCS Scholar
ARCS Foundation, Inc., Northern California Chapter
San Francisco, CA
Advancement to PhD Candidacy with Honors
University of California, Santa Cruz
Santa Cruz, CA
Dean's Fellowship
University of California at Santa Cruz
Santa Cruz, CA
Regents Fellowship
University of California at Santa Cruz
Santa Cruz, CA


Conjugate Natural Selection
Reilly Raab, Luca de Alfaro, and Yang Liu
Arxiv. (2022)

Fairness Transferability Subject to Bounded Distribution Shift
Yatong Chen, Reilly Raab, Jialu Wang, and Yang Liu
To appear in NeurIPS (2022)

Unintended Selection: Persistent Qualification Rate Disparities and Interventions
Reilly Raab and Yang liu
NeurIPS. (2021) Spotlight Paper

Single-Gate Error for Superconducting Qubits Imposed by Sideband Products of IQ Mixing
Reilly Raab
Undergraduate Thesis. Not peer-reviewed. (2015)

Systematic study of exciton diffusion length in organic semiconductors by six experimental methods
Jason D. A. Lin et. al.
Materials Horizons. (2014)