Instructor

Sense & Sensibility & Science: Scientific Thinking in a Democracy University of Chicago | Spring 2024 |
BPRO 26021, SOSC 26021, KNOW 26021, DIGS 26021, HIPS 26021, PBPL 26021

In Sense & Sensibility & Science, students learn how to better incorporate into their thinking and decision making the scientific mind-set and problem-solving techniques. Many insights and conceptual tools from scientific thinking are of great utility for solving problems in one's day-to-day life and in a democratic society. Yet, as individuals, as groups, and as societies we fail to take full advantage of these methods. The focus in this course is on the errors humans tend to make, and the approaches scientific methodology has developed to reduce those errors. The course includes an introduction to scientific thinking, what makes science such an effective way of knowing, and how both non-scientific thinking and scientific thinking can go awry. The overarching goal is to help us reason more clearly and successfully as individuals and as citizens of a democracy.

The Science and Philosophy of Artificial Intelligence: University of Chicago | Winter 2022 |
PHIL 29642, HIPS 29642

This course will focus on the science, philosophy, and history of the development of AI from the cybernetics movement, to logic and expert systems GOFI period, recommender systems and deep neural networks (both in their initial and contemporary manifestations). Students will learn how these systems actually work, what tasks they were envisioned to be useful for, and what a study of these systems was and is thought to tell us about cognition, intelligence, and the world. In parallel, students will engage with literature in the philosophy of AI that seeks to interpret and challenge the science and rationale of these systems as well as ask and attempt to answer novel questions concerning the epistemology of deep neural networks. Students will also engage directly and philosophically with actual scientific literature that uses artificial intelligence.

Embedded Ethics Modules

Machine Learning: Harvard University | Spring 2024 | CS 181
Introduction to Data Science: Harvard University | Fall 2023 | CS 109A
Introduction to Reinforcement Learning: Harvard University | Fall 2023 | CS 184
Advanced Topics in Programming Languages: Harvard University | Fall 2023 | CS 252R

Teaching Assistant

Ethics in the Digital Age: University of Chicago | Fall 2020 | PHIL 29904
Modern Logic and the Structure of Knowledge: University of Chicago | Winter 2020 | PHIL 22401/32401
Elementary Logic: University of Chicago | Fall 2019 | PHIL 20100/30000
Philosophy of Quantum Mechanics: University of Chicago | Spring 2019 | PHIL 22709/32709

Advising and Mentoring

Philosophy and Computer Science Senior Thesis Advisor Harvard University (Spring 2024)
Data Science Institute Summer Lab Student Mentor University of Chicago (Summer 2022)
History and Philosophy of Science B.A. Thesis Advisor University of Chicago (2019 - 2020)
Center for Data and Computing Summer Lab Student Mentor University of Chicago (Summers 2019 - 2021)
Computation Institute Summer Internship Student Mentor University of Chicago (Summers 2016 - 2018)
Computer Science Graduate Practicum Advisor University of Chicago (Springs 2014 - 2017)

Teaching in the Community College

Inroduction to Philosophy (Sole Instructor): Harold Washington College, Chicago (2011 - 2013)
Introduction to Ethics (Sole Instructor): Harold Washington College, Chicago (2011 - 2013)
Elementary Logic (Sole Instructor): Harold Washington College, Chicago (2011 - 2013)