Institute for Data Science and Big Data : General Additive Models(GAMs)

Semester : Winter 2025

Institute for Data Science and Big Data : Workshop on R and Overleaf: Political Analysis Using American Politics Data

Semester : Winter 2025

Institute for Data Science and Big Data : AI in Political Science (Transfer Learning)

Semester : Spring 2026

1- R for GAM

1-Data Wrangling with R

Introduction to Transfer Learning/Computer Vision

Winter Institute for Data Science : Non-linear Models

Semester : Winter 2024

Teaching Experience

Institute for Data Science and Big Data – American University

• Instructor: Large Language Models for Social Science: Foundations and Applications (Spring 2026)

• Instructor: Nonlinear Methods for Social Science: ​ Why We (Often) Must Move Beyond Linearity (Spring 2026)

• Instructor: Non-linear Methods and General Additive Models (GAMs) (Winter 2024)

• Instructor: AI & Transfer Learning in Political Science (Winter 2024)

• Instructor: Workshop on R and Overleaf: Political Analysis Using American Politics Data (Winter 2024)

School of Public Affairs – American University (2022–2025)

• Teaching Assistant & Guest Lecturer: Congress and Legislative Behavior

• Teaching Assistant & Guest Lecturer: Political Conflict (Two Sections)

• Teaching Assistant & Guest Lecturer: Elections and Voting Behavior

• Teaching Assistant: Winter Institute of Data Science (Graduate Course)

• Teaching Assistant: Applied Political Data Science (Graduate Course – Two Sections)

• Teaching Assistant & Lab Proctor: Introduction to Quantitative Political Research (Two Sections)

• Teaching Assistant: Winter Institute of Data Science (Graduate Course)

College of Arts & Sciences – American University

• Teaching Assistant: DATA-613 Data Science Course (Graduate Course – Four Sections)

• Teaching Assistant: STAT-614 Statistical Methods (Graduate Course)

• Teaching Assistant: Statistical Reasoning (Two Sections)

Ferdowsi University (2015)

• Fundamentals of Physics (TA)

Tutor (2005–2017)

• Mathematics & Statistics

Institute for Data Science and Big Data - American University, School of Public Affairs

Semester : Winter 2025

Nonlinear Methods for Social Science: ​ Why We (Often) Must Move Beyond Linearity

Large Language Models for Social Science: Foundations and Applications

Useful Books :

1- American University students have free access to O'Reilly Online Learning. Use it!

https://www.oreilly.com/library/view/natural-language-processing/9781098136789/

https://www.oreilly.com/library/view/hands-on-machine-learning/9781492032632/

https://jalammar.github.io/illustrated-transformer/

2- These are free and a great start for ML

An Introduction to Statistical Learning with Applications in R, by G. James, D. Witten, T. Hastie, and R. Tibshirani. 2 nd edition, 2021

An Introduction to Statistical Learning with Applications in Python, by G. James, D. Witten, T. Hastie, R. Tibshirani, and J. Taylor, 2023

https://www.statlearning.com/

3- Original paper: "Attention Is All You Need" (Vaswani et al., 2017)

https://arxiv.org/abs/1706.03762

Useful links and classes:

Cursor ai

https://cursor.com/

What is a transformer model?

https://www.ibm.com/think/topics/transformer-model

Stanford Online

Stanford CS230 | Autumn 2025 by Andrew Ng

https://www.youtube.com/watch?v=Ozb1AR_F5MU

Stanford CS230 | Autumn 2025 By Kian Katanforoosh

https://www.youtube.com/watch?v=_NLHFoVNlbg&list=PLoROMvodv4rNRRGdS0rBbXOUGA0wjdh1X

Institute for Data Science and Big Data - American University, School of Public Affairs

Semester : Spring 2026

Classes: code & notes