Mixed Methods Ph.D. Researcher
Resume & CV
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Summary
I am a Ph.D. mixed methods researcher with 4+ years of experience designing and executing behavioral experiments and surveys, as well as analyzing data using Python and R. Experienced in cross-functional collaboration, understanding how data can inform us about human behavior, and applying mixed research methods to find solutions to open-ended problems.
Education
University of California, Los Angeles (UCLA)
Ph.D. in Linguistics (Expected 2024)
Duke University
B.S. in Chemistry and Linguistics (2019)
Experience
UCLA Department of Linguistics | Graduate Researcher (2019-)
PhonProv: A phonetic corpus of naturalistic infant-directed speech
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Led a diverse team of 5 research assistants on an end-to-end research project, including developing and analyzing a database of 100,000+ tokens of speech, followed by a quantitative experiment
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Analyzed speech patterns to quantify the degree of phonetic variability and noisiness of 100,000+ tokens of speech directed at infants and pre-school aged children
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Manipulated and analyzed high-volume, high-dimensionality data from the corpus with self-developed code, using appropriate exploratory methods and statistical analyses in Python and R
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Independently designed and executed an infant speech processing experiment based on insights from the corpus analysis; designed stimuli; used Bayesian statistical models for data analysis
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Communicated findings to large group of stakeholders in compelling and creative ways
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Awarded $100,000+ in competitive grants and fellowships
4th Man Project: Event perception over development
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Designed and implemented an online survey and experiment using Labvanced and Prolific to investigate adults’ perception of complex event types to further understanding of multimodal language acquisition
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Designed child behavioral experiments to determine developmental trajectory of perception of these events
Computational modeling of developmental human sentence processing
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Developed a top-down model of preschooler’s parsing difficulties with ambiguous sentences using natural language processing (NLP) tools to probe interactions of developing cognitive systems with language acquisition
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Implemented beam-search algorithms to generate testable empirical predictions for future experimental work
Kingsland Marketing Consultancy | Strategy Intern (2022)
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Worked cross-functionally with agency employees outside of the strategy department, clients, and vendor partners to execute several critical projects
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Wrote, led and supported the team with creative brand strategy documents, market research, competitive audits, mining for insights, customer archetyping, positioning, and more
Skills
Research methods:
Online survey
Semi-structured interviews
A/B testing
Eye-tracking
Programming:
R
Python
SQL
Statistical methods:
Linear mixed effects models
Logistic mixed effects models
Bayesian mixed effects models
Multinomial regressions
Inter-rater reliability
Descriptive statistics
Machine learning:
Regression and classification
Reinforcement learning
Decision trees
TensorFlow
Miscellaneous:
Data visualization (RShiny)
Video editing (Premier Pro)
Notion
2D animation (Procreate)
Languages
Natural Languages:
English
Russian
French (limited working)
Talks & Publications
Publications
Khlystova, Chong, and Sundara (2023). Phonetic variation in English infant-directed speech: A large-scale corpus analysis. Journal of Phonetics 100 (2023): 101267.
Talks & Posters
Khlystova, E.* and Sundara, M.. The lexical representation of coda /t/. Acoustical Society of America (ASA): Poster presentation, 5 December 2023. Sydney, Australia. pdf coming soon!
Narkar, J., Khlystova, E.*, Mayer, C., Aly, A., Kim, J. Y., and Sundara, M. . Evaluating the learnability of vowel categories from Infant-Directed Speech. Acoustical Society of America (ASA): Poster presentation. Denver, CO. Click here for a pdf.
Khlystova, E.*, Chong, A., and Sundara, M.. Quantifying phonetic variation: A large-scale corpus analysis of coronal segments in English infant-directed speech. Acoustical Society of America (ASA): Poster presentation, 29 Nov 2021. Seattle, WA. Click here for a pdf.
Khlystova, E.*, Chong, A., and Sundara, M.. Phonetic variation in coronals in English infant-directed speech: A large-scale corpus analysis. Boston University Conference on Language Development (BUCLD): Poster presentation, 6 Nov 2021. Virtual. Click here for a pdf.
*presenting author
Teaching
Courses taught
LING140: Bilingualism and second language acquisition
Responsibilities: developed lesson plans for discussion sections based on the week’s lectures, guided students through effectively planning and executing a survey- or observation-based research project, held weekly office hours and graded homework assignments and papers.
LING132: Language Processing
Responsibilities: developed lesson plans for discussion sections based on the week’s lectures and instructor’s worksheets, held weekly office hours and graded homework assignments and exams.
LING130: Language Development
Responsibilities: developed lesson plans for discussion sections based on the week’s lectures, guided students through effectively planning and developing an experimental research proposal, held weekly office hours and graded homework assignments and exams.
LING20: Introduction to Linguistic Analysis
Responsibilities: developed lesson plans for discussion sections based on the week’s lectures and instructor’s worksheets, held weekly office hours and graded homework assignments and exams.