Olivia Gawel
@oliviagawel
Applied AI researcher and engineer building large-scale NLP and multimodal systems.
What I'm looking for
I am an applied AI researcher and engineer focused on large-scale NLP and multimodal systems, combining transformer modeling, probabilistic inference, and end-to-end data pipelines to move research into reliable deployments.
I have led large human and LLM experiments, built reproducible pipelines that automate collection through modeling, and implemented Bayesian and noisy-channel inference models that improve predictive accuracy and interpretability.
I drive model evaluation and quality initiatives—developing token-level diagnostic tooling, hierarchical GLMMs, and benchmarking frameworks—to identify failure modes, improve factuality and grounding, and deliver production-ready model improvements.
Experience
Work history, roles, and key accomplishments
Graduate Researcher
University of California, Merced
Jul 2024 - Present (1 year 7 months)
Led large-scale human and LLM experiments (600+ participants; 8 foundation models) and built reproducible end-to-end data pipelines that enabled rapid iteration and produced behavioral benchmarks for model evaluation.
Senior Program Manager
GlobalLogic
May 2023 - Jul 2024 (1 year 2 months)
Led end-to-end AI program delivery for Google (May 2023–Jul 2024), directing model quality initiatives that improved factuality and accuracy from 8% baseline to over 92% and managed 300+ distributed contributors across workstreams.
Research Technician
Harvard Medical School
Dec 2022 - Jul 2024 (1 year 7 months)
Supported a multimodal intracranial EEG study by integrating neural recordings with linguistic events, executing preprocessing and curation pipelines to improve data integrity and reproducibility for brain–language analyses.
Data Analyst & Project Manager
FIDMAG Hospital
Sep 2019 - Dec 2022 (3 years 3 months)
Directed data operations across multi-hospital neuroscience studies, designed reproducible preprocessing workflows, and analyzed behavioral and neuroimaging data to quantify speech and working memory deficits in clinical populations.
Education
Degrees, certifications, and relevant coursework
University of California, Merced
Doctor of Philosophy, Cognitive and Information Sciences
2024 -
Activities and societies: Advisor: Dr. Rachel Ryskin; Graduate Researcher (Data Analysis & Cognitive Modeling); Teaching assistant for COGS courses.
PhD student in Cognitive and Information Sciences with MS awarded en route to the PhD; research focuses on language comprehension, memory, and modeling with large-scale experiments and probabilistic inference.
Pompeu Fabra University
Master of Science, Neuroscience
2020 - 2022
Grade: 9.09/10
Activities and societies: Advisors: Dr. Paola Fuentes-Claramonte; Dr. Joanna Rosselló Ximenes; thesis published in institutional repository.
Master of Science in Neuroscience with a thesis developing an fMRI paradigm for speech production and strong academic performance (GPA reported as 9.09/10).
University of Barcelona
Master of Science, Cognitive Science
2019 - 2021
Grade: 9.2/10
Activities and societies: Advisor: Dr. Paola Fuentes-Claramonte; thesis deposited in the university digital repository.
Master of Science in Cognitive Science completed in parallel with an MS in Neuroscience; thesis on functional brain correlates of auditory verbal hallucinations.
University of Warsaw
Master of Arts, Linguistics
2015 - 2017
Grade: 4.5/5
Activities and societies: Advisor: Dr. Bartłomiej Czaplicki; thesis archived in the university repository.
Master of Arts in Linguistics with a thesis on phonological, psycholinguistic, and neurolinguistic bases of phonological speech errors.
University of Rzeszów
Bachelor of Arts, English Translation and Education
2012 - 2015
Bachelor of Arts with dual specialization in English Translation and Education.
Availability
Location
Authorized to work in
Job categories
Skills
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