Emily N. Mech

Emily N. Mech

Graduate Student Researcher in Cognitive Psychology

University of Illinois at Urbana-Champaign

Biography

Emily Mech uses event-related potentials (ERPs), computational modeling, and behavioral methodology to examine how regularities in language and the world interact to affect the ways in which our linguistic and semantic knowledge is learned, structured, accessed, and communicated.

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Interests
  • Language Comprehension
  • Semantics
  • Discourse
  • Data Visualization
  • Statistics
  • Data Simulation
Education
  • PhD in Psychology (Cognitive), Expected Graduation - 2023

    University of Illinois at Urbana-Champaign

  • MA in Psychology (Cognitive), 2018

    University of California, Riverside

  • BA in Psychology, 2016

    University of Wisconsin-Madison

  • BA in Communication Sciences and Disorders, 2016

    University of Wisconsin-Madison

Skills

R

I use R to build data visualization and analytic pipelines for complex data collected from behavioral as well as neuroimaging (EEG) experiments. I regularly use packages such as tidyverse, lmer, and brms to plot data trends and implement statistical models.

Python

I primarily use python to extract language statistics from corpora and manipulate data into different formats. Additionally, I have implemented computational models such decision trees, n-gram models, and SRNs. I’m currently developing a computational model of language comprehension in the cerebral hemispheres for my dissertation.

Statistics

I primarily analyze my data with hierarchical linear models. I have implemented these models with both frequentist and bayesian estimation methods. I am also able to implement a variety of other univariate and multivariate models including but not limited to linear and logistic regression, ANOVA, EFA, CFA, and PCA.

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Science Communication

I have conceptualized and implemented multiple research projects which have led to presentations at scientific conferences as well as published chapters and articles in scientific handbooks and journals.

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MATLAB

I use the EEGlab and ERPlab packages in MATLAB to clean my EEG data. I have also used MATLAB to implement a psycholinguistics experiment.

JavaScript

I implemented an online self-paced reading experiment using jsPsych at the beginning of the COVID-19 pandemic.

Experience

 
 
 
 
 
University of Illinois at Urbana-Champaign
Graduate Student Researcher
University of Illinois at Urbana-Champaign
Aug 2019 – Present Illinois

Responsibilities include:

  • Designing, collaborating on, & programming experiments using qualitative & quantitative methods including EEG, online studies, behavioral responses & surveys
  • Creating data wrangling, visualization, & analysis pipelines using R, Python, & MATLAB to implement univariate & multivariate statistics
  • Presenting research to colleagues & publishing research in scientific journals
 
 
 
 
 
University of California, Riverside
Graduate Student Researcher
University of California, Riverside
Aug 2016 – Jun 2019 California
  • Conceptualized & implemented multiple research projects, presented findings at scientific conferences (5 talks, 25 posters), published in handbooks and journals
  • Managed a team of 12+ research assistants, led trainings on experimental design, methods, data analysis, troubleshooting, programming, & scientific communication
 
 
 
 
 
University of Granada, Spain
Visiting Scholar
University of Granada, Spain
Aug 2016 – Jun 2019 Spain
  • Programmed an experiment, collected data, analyzed & presented results within a two month visiting scholar appointment
 
 
 
 
 
University of Wisconsin-Madison
Undergraduate Research Assistant
University of Wisconsin-Madison
Feb 2014 – May 2016 Wisconsin
  • Programmed an experiment, analyzed data, presented results at the undergraduate research symposium
  • Coded speech data to mark word onset time in Praat

Projects

Publications

(2022). The last course of coarse coding: Hemispheric similarities in associative and categorical processing. Brain and Language.

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(2022). Exploring age-related changes in inter-brain synchrony during verbal communication. PsyArXiv.

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(2019). Psycholinguistics 1. An Introduction to Applied Linguistics.

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(2018). Exploiting Language Variation to Better Understand the Cognitive Consequences of Bilingualism. Frontiers in Psychology.

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(2018). Influences of speech familiarity on immediate perception and final comprehension. PBR.

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(2017). Beyond typical learning: Variation in language experience as a lens to the developing mind. Commentary in Applied Psycholinguistics.

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(2016). Influences of Speaker-Listener Similarity on Shadowing and Comprehension. Cogsci Proceedings.

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Teaching

 
 
 
 
 
Instructor, Introduction to Brain and Cognitive Science
Brain and Cognitive Science 100
Aug 2021 – Dec 2021 University of Illinois at Urbana-Champaign
  • Added to University ‘List of Teachers Ranked as Excellent by Their Students’
  • Select student evaluations:
    • “Emily did a fantastic job at simplifying complex topics so that all the students can understand. She taught at a very reasonable pace and always looked to clarify things if students seemed confused. She is by far one of the best teachers/TAs I’ve had over the course of my education.”
    • “Emily. She was great and probably the best TA that I have ever had. I have nothing but praise for her and her teaching style. She is always able to break something down for the class and constantly walks around during lab to ensure that if we have any questions we can ask them. More TAs need to be like her!”
 
 
 
 
 
Instructor, Cognitive Processes
Psychology 134
Jan 2019 – Mar 2019 University of California, Riverside
  • Select student evaluations:
    • “I’ve had Emily in a couple of discussions. Shes always been a great TA and was always very charismatic and knowledgable of the material. She has great energy and seems very motivated to teach the material. She definitely knows her stuff and finds the best and most efficient way for us to learn the material. I like how she always relates the content to real life situations making it a lot easier to memorize. Thank you, Emily!”
    • “Emily is the reason of why I have been able to pass a previous class and allowed me to have a better understanding of this class. She has always been so incredibly patient through my continuous questions. Her constant helpful examples were the reason that I always was able leave office hours more confidently in my abilities than I came in. No matter how many times she had to reexplained she never seemed angry of frustrated with me and that was a great assistant. I greatly thank her for all the assistance.”
 
 
 
 
 
Instructor, Bilingual Minds and Brains
Psychology 049
Sep 2017 – Dec 2018 University of California, Riverside
  • Taught the course for two academic quarters (Fall 2017, Fall 2018)
  • Select student evaluations:
    • “Emily made the class very exciting and interesting. She is extremely knowledgeable on every topic we go over in lexture. She is always enthusiastic and keeps the class involved. She encourages participation and genuinely wants every student to do well. She has been one of the best TAs I’ve had at UCR.”
    • “She did an extremely good job teaching the material each discussion, as well as clarifying any confusion any one of her students had. She provided a safe environment for everyone and encouraged us to participate in a very nice and encouraging way. She did an effective job of using the slides that had the material that was being taught and knew very well what she was talking about. I looked forward to going to class because I knew that she’d be able to help and clear any confusion any time.”
 
 
 
 
 
Instructor, The Brain and Behavior
Psychology 110
Jul 2017 – Mar 2018 University of California, Riverside
  • Taught the course for three academic quarters (Summer 2017, Winter 2018, Summer 2018)
  • Select student evaluations:
    • “It has been a pleasure having Emily as TA for psych 110. Having a class such as 110 been so science focus created uncertainty on my success. But, even so, Emily has an amazing, helpful, imaginative teaching style that I wish I would have had in each an every one of the classes of my entire college career. Every single one of her examples helped make the material more relatable and thus understandable. Never in my 4 years in UCR have I written a comment on the ieval. Now you see how truly gratifying is haveing a TA like Emily.”
    • “Emily is by far one of the best SI’s I have had at UCR. She definitely knows what she is talking about, has so much passion in what she does. She uses analogies so that her students can have a better understanding of the material, which was extremely helpful! She took time to check for comprehension as well as answering any questions that were asked during discussion. Her revised slides were great and also very, very helpful. Great attitude every morning. Honestly, couldn’t wait to go to discussion because I knew she would clarify any questions or hesitations I had encountered during lecture.”

Fun Side Projects

Contact

  • emily.mech@gmail.com