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Master of Cognitive Science, spec. in Data Science

Carleton University

Neuroscience, Cognitive Modelling, Vector Symbolic Architecture

Summer Program

University of Hong Kong

AI + Metaverse Value Creation

Exchange Program

Kazan Federal University

Philology

B.A. in Russian

Shanghai International Studies University

NLP, Linguistics, Qualitative Research

Multilingualism, language choice, and identity construction: Diasporic Ukrainians in Shanghai

Journal of Sociolinguistics

Yuanyuan Liu, Fengwei Liu, Zichen Wang, & Ying Mei (2024). Journal of Sociolinguistics, 28, 42–60.

Inferring Latent Media Biases with Semi-supervised Clustering

Research Assistant under Dr. Noboru Matsuda & Dr. Yuanyuan Liu

• Created an annotated dataset and innovated a Deep-Learning-based approach to address the long-standing challenge of social bias auto-categorization.
• Developed discriminative phrase extraction algorithms using spaCy and T-tests, forming novel sentence embeddings inspired by TF-IDF.
• Implemented Feature Learning with neural classifiers using PyTorch and SBERT, expected to contribute to downstream semi-supervised clustering.
• Coordinated 3 coders in 20 rounds of iterative coding and processed agreement statistics, establishing a detailed coding manual and 1,500 high-quality annotated documents.
• Conducted data collection & cleansing by modifying Python web scrapers to tackle anti-scraping measures, building a corpus of over 10,000 high-quality documents.

Diachronic Shifts in Dependency Distance: Evidence from Russian Corpora

Undergraduate Thesis

• Implemented preprocessing and syntactic parsing on a 250-million-token diachronic corpus with spaCy.
• Developed a Python algorithm that computed the Mean Dependency Distance of all sentences. Conducted ANOVA and Tukey HSD analysis in R.
• Interpreted complex empirical findings after comprehensive literature review of working theories.

Multilingualism and Identity: Ethnography of Diasporic Ukrainians in Shanghai

Research Assistant under Dr. Yuanyuan Liu

• Recruited 6 participants by surveying social media profiles and conducted 6-month netnographic observations.
• Led or assisted in 5 semi-structured interviews. Designed guided narrative frame writings.
• Created a coding manual and conducted thematic analysis to achieve an in-depth understanding of field data.
• Conducted thorough and critical theory review, and took a substantial part in drafting and revising the manuscript.

How Topicality Affects Pronoun Interpretation

Research Assistant under Dr. Heeju Huang

• Coded two sentence-continuation experiments which manipulated the topicality of Mandarin sentences via comparison of canonical and left-dislocated structures.
• Distributed experimental surveys to native Mandarin speakers and negotiated monetary incentives.

Bar Staff

Mike's Place Pub, Carleton Graduate Student Association

Served drink and food orders to the graduate student community, delivering satisfactory customer service.

Data Analyst Intern

Dashmote

Synthesized data-driven market trends and supported data quality and delivery.

• Synthesized data-driven market trends using SQL in AWS Athena to identify market gaps and business opportunities, creating spreadsheets or slides to recommend growth strategies.
• Proposed an innovative 4-step Quality Assurance framework in Python to analyze 450+ large-scale food delivery datasets, ensuring 100% on-time monthly deliveries of high-quality, accurate data.
• Investigated 121 data discrepancies using pySpark, documented causes and developed solutions in collaboration with data engineers, addressing issues 30% more effectively.
• Updated CASS and product databases in PostgreSQL to deploy new features under tight deadlines.

Social Intelligence Analytics Intern

Ipsos

Developed ML models for automatic analysis of social media data.

• Developed Machine Learning models, such as Multilabel SVM Classification and BERTopic, for automatic analysis of large social media data, streamlining social listening workflows by 50%.
• Conducted in-depth market research, incl. pain point deep-dive, competitor analysis, and topic analysis. Created reports in PowerPoint and Excel to convey actionable insights.
• Designed an advanced Share of Voice tracking system in Excel to monitor competitor market presence. Conducted tracking for 12 months while testing and optimizing the system. Trained staff on its usage.

Data Processing Intern

Shanghai AI Lab

Investigated 300+ data sources in a cross-functional team to collect 30 Tb multilingual, multimodal data.

• Assessed the quality of 1,000 Russian data samples, documenting issues to reduce 30% standardization errors.

Marketing Intern

BeKind, Mars Wrigley

Tracked key metrics and supported campaign optimization.

• Tracked key metrics, incl. conversion rate and ROI to make business recommendations for campaign optimization.
• Reviewed Social Media Marketing strategies and selection of KOLs, cooperating with e-commerce agencies to increase click-through rates by 15%.

Hackathon Organizer

Cog. Sci. Graduate Student Association

Built and coordinated the judging team and adjudication criteria for MindHack, Carleton's first HCI hackathon.

Committee Member

Cognitive Science Colloquium Committee, Carleton Cog. Sci. Dept.

Organized and moderated an alumni panel with an audience of 42 people to discuss Cog Sci career development.

Ontario Graduate Scholarship

Carleton University

CAD 10,000 | 2025 – 2026

Sino-Russian Government Exchange Scholarship

China Scholarship Council

USD 12,000 | 2022 – 2023

First-class SISU Excellence Scholarship

Shanghai International Studies University

CNY 1,200 | 2021 – 2022 Spring & Fall