Curriculum Vitae
|
Ph.D. Candidate
rraab [at] ucsc (dot) edu |
Summary
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
Expertise
- 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 |
Evolutionary game theory, reinforcement learning, control theory
Fairness, incentive alignment, domain adaptation
Breadware, Inc. |
Oct. 2016 – Aug. 2018 |
Software Developer |
Reno, Nevada |
Development of electronic design automation tools
Martinis Group: Josephson Junction Quantum Computing |
Feb 2013 – Jun. 2015 |
Undergraduate Intern, California NanoSystems Institute |
Santa Barbara, CA |
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 |
Surface morphology and exciton diffusion length measurements
Education
University of California, Santa Cruz |
Sept 2019 – Present |
PhD in Computer Science and Engineering |
Santa Cruz, CA |
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 |
Distinction in the Major
UC Education Abroad Program |
Fall 2013 |
The University of Edinburgh |
Edinburgh, Scotland |
UCSB EAP Scholarship
Teaching Experience
Course Design Consultant |
Spring 2021 |
Machine Learning Basics: Data Analysis and Empirical Methods |
UC Santa Cruz |
Led team to design and score written assignments and exams
Teaching Assistant |
Fall 2020 |
Machine Learning |
UC Santa Cruz |
Teaching Assistant and Residential Mentor |
Summer 2016 |
The Summer Science Program (Astrophysics) |
Socorro, NM |
Curriculum of observational astronomy, celestial mechanics, programming, mathematics
Teaching Assistant and Residential Mentor |
Summer 2015 |
The Summer Science Program (Astrophysics) |
Boulder, CO |
Honors & Awards
ARCS Scholar |
2022 |
ARCS Foundation, Inc., Northern California Chapter |
San Francisco, CA |
Advancement to PhD Candidacy with Honors |
2022 |
University of California, Santa Cruz |
Santa Cruz, CA |
Dean's Fellowship |
2019 |
University of California at Santa Cruz |
Santa Cruz, CA |
Regents Fellowship |
2019 |
University of California at Santa Cruz |
Santa Cruz, CA |
Publications
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)