Students & Research Assistants

The amazing people I’m lucky to work with!

If you are a student interested in getting involved with research, please get in touch.

Current

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Julia Vitagliano

Research Assistant

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Krandhasi Kodaiarasu

Research Assistant

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Praise Adekola

Research Assistant

Past

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Chiara Bertarelli

Research Assistant

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Claire Pinson

Research Assistant

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Cristina Nardini

Research Assistant

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Imani Weeks

Research Assistant

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Jordyn Ricard

Research Intern

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Lauren Harnedy

Research Assistant

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Missy Dreier

Thesis Student

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Sabrina Bell

Thesis Student

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Sarah Lipson

Thesis Student

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Sunday Hull

Research Assistant

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Yuri-Grace Ohashi

Thesis Student

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Zelal Kilic

Research Assistant

Teaching

AC 297r: Computational Science and Engineering Capstone

Harvard University | Fall 2022

I am currently serving as a teaching fellow/project mentor for AC 297r with Weiwei Pan. I am mentoring teams of 4 - 5 Master’s students in data science or computational science applying machine learning, computational, and engineering methods to solve a complex real-world problem.

Applied Machine Learning in R

Pittsburgh Summer Methodology Series | August 8 - 11, 2022

Through the Pittsburgh Summer Methodology Series, Jeffrey Girard and I teach a course that provides a hands-on introduction to machine learning methods for social and behavioral scientists. Opportunities for methodological consulting are also provided. For more information, please visit the Pitt Summer Methods website.

Assessing Suicidal and Nonsuicidal Self-Injury

Pittsburgh Summer Methodology Series | August 1 - 2, 2022

Through the Pittsburgh Summer Methodology Series, Kathryn Fox and I teach a foundational course providing for researchers interested in studying suicidal and nonsuicidal thoughts and behaviors in youth and adults. Opportunities for consulting are also provided. For more information, please visit the Pitt Summer Methods website.

Introduction to R

Massachusetts General Hospital | Spring 2021; Summer 2021

I have previously taught workshops providing an introduction to R for researchers with prior data analysis experience in other statistical software programs (e.g., SPSS), but no prior experience in R. All materials, including slides and R code, are available on my github.

PSY 1900: Statistics for the Behavioral Sciences

Harvard University | Fall 2019

I have previously served as a teaching fellow for PSY 1900 with Patrick Mair. I taught two lab sections per week and covered the following topics in R: descriptive statistics, data visualization, correlation, regression, ANOVA, and effect sizes.

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