Jekaterina Novikova
Principal AI Research Scientist at Vanguard
Old Toronto, Ontario, Canada
Summary
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Senior🎓
Top SchoolJekaterina Novikova is a Principal AI Research Scientist with 13 years of experience building language-focused AI systems that bridge research and real-world impact, from multimodal dialogue for humanoid robots to clinical tools for detecting cognitive impairment. Her work spans natural language generation, human-robot interaction, and trustworthy AI, and she has helped shape community resources like BLOOM, BIG-bench, and the GEM NLG benchmark to promote transparency and reproducibility. She led ML research teams in industry and academia, translating models into deployed healthcare and retail interactions while championing open access to data, code, and model weights. Based in Toronto, she also leads initiatives advancing women in AI and vulnerability tracking for AI systems, reflecting a commitment to both technical rigor and ethical deployment. An interdisciplinary thinker with a PhD in computer science and a background in business informatics, she combines deep technical expertise with a practical focus on improving care for people with dementia and psychiatric illness.
13 years of coding experience
11 years of employment as a software developer
Master's degree Business Informatics, Master's degree Business Informatics at Vytauto Didžiojo universitetasCourseraDoctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at University of BathMaster's Degree Computer Science, Master's Degree Computer Science at Blekinge Institute of Technology
English, Lithuanian, Russian
Github Skills (25)
benchmark10
nlg9
machine-learning8
evaluation7
bert7
nlp6
natural-language-processing6
code-analysis5
natural-language-generation5
csv3
speech3
manipulation3
anki2
speech-processing2
python2
Programming languages (6)
Github contributions (5)
jeknov/EMNLP_17_submission
Jul 2017 - Nov 2021
The dataset and statistical analysis code released with the submission of EMNLP 2017 paper "Why We Need New Evaluation Metrics for NLG"
Contributions:11 commits, 2 PRs, 11 pushes in 4 years 4 months
nlpevaluation-metricsnlgdatasetevaluation
jeknov/RankME
Mar 2018 - Jan 2019
The dataset and code released with the submission of NAACL 2018 paper "RankME: Reliable Human Ratings for Natural Language Generation"
Contributions:13 commits, 1 PR, 9 pushes in 10 months
nlpnaaclhuman-ratingsnatural-language-generationdataset
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