cv
Basics
| Name | Rik Koncel-Kedziorski |
| Label | Postdoctoral Researcher, University of Washington, Paul G. Allen School of Computer Science & Engineering |
| rikkoncelkedziorski@gmail.com | |
| Url | https://rikdz.github.io |
| Summary | My research focuses on new methods for reasoning from data, human-computer collaboration, and improving evaluation of AI systems. Previously, I worked on those same things plus question answering, language grounding, and pragmatic meaning representation. |
Work
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2024 - Present ML Scientist
Apple
- Research on personalization, preference learning, and reasoning for multimodal LLM systems; synthetic data generation for user-adaptive models.
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2022 - 2024 Research Scientist
S&P Global, Kensho
- Research on financial NLP and reasoning; datasets and evaluation methods for LLM-based financial question answering.
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2021 - 2022 Applied Scientist
Amazon
- Generative question answering for Alexa; retrieval-augmented generation and multilingual QA.
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2019 - 2021 Postdoctoral Researcher
University of Washington, Paul G. Allen School of Computer Science & Engineering
- Research on language understanding and generation for scientific text, human-AI interaction, and dialog systems. PI: Noah A. Smith.
Education
Awards
- 2024
Apple AI Research Grant
"User Representations and Reasoning for Natural Dialogue Systems", in collaboration with USC Professor Swabha Swayamdipta
- 2020
Postdoc Research Award
"Promoting Crowd-participation in Dialog System Research", University of Washington Computer Science
- 2018
Excellence in Linguistic Research Fellowship
University of Washington Linguistics
- 2010, 2011
STEM Scholarship
National Science Foundation