For the third year, Expanding Horizons in Computing explored key topics in computing and artificial intelligence through three workshops organized by MIT faculty. Spanning themes from human intelligence to coding to education, the series offered a compelling look at the opportunities and challenges shaping the future of computing.

Hosted by the MIT Schwarzman College of Computing, the workshops were held during MIT’s January Independent Activities Period in 2026.

Links to videos from the sessions are below. Or explore the full playlist on our YouTube channel.

Organizer

  • Armando Solar-Lezama, Distinguished Professor of Computing, MIT Electrical Engineering and Computer Science (EECS)

An exploration of how AI is transforming the way we code.


Automation from the Programmer’s Apprentice to Modern Coding Agents

Armando Solar-Lezama, Distinguished Professor of Computing, MIT EECS

Modular & Legible Software for AI (& Human) Coders

Daniel Jackson, Professor of Computer Science, MIT EECS

Lessons from the Trenches on Building Usable Coding Agents

Graham Neubig, Associate Professor, Carnegie Mellon University Language Technology Institute; Chief Scientist, OpenHands

AI Coding & Learning

Grace Lin, Learning Scientist & Assessment Designer, MIT Scheller Teacher Education Program

Interview with Vahrun K. Mohran of Google DeepMind

Varun K. Mohan, Google DeepMind Engineer; former Co-founder & CEO, Windsurf
Armando Solar-Lezama, Distinguished Professor of Computing, MIT EECS (moderator)

AI & Coding Panel Discussion

Robert Brennan, CEO, OpenHands
Tim Kraska, Associate Professor, MIT EECS
Grace Lin, Learning Scientist & Assessment Designer, MIT Scheller Teacher Education Program
Graham Neubig, Associate Professor, Carnegie Mellon University Language Technology Institute; Chief Scientist, OpenHands
Armando Solar-Lezama, Distinguished Professor of Computing, MIT EECS (moderator)

Organizer

  • Jim DiCarlo, Director, MIT Siegel Family Quest for Intelligence; Peter de Florez Professor, Department of Brain and Cognitive Sciences

Presented by the MIT Siegel Family Quest for Intelligence (SQI), this workshop examined the evolving relationship between human intelligence and artificial intelligence.


Overview of Quest Platforms

Erik Vogan, executive director of the MIT Siegel Family Quest for Intelligence

Cognitive Modeling Approaches

Josh Tenenbaum, SQI Director of Science; Professor, Department of Brain and Cognitive Sciences, MIT

Embodied Intelligence: Understanding and Acting in the Physical World

Leslie Kaelbling, SQI Director of Research; Panasonic Professor, Department of Electrical Engineering and Computer Science, MIT

Running Behavioral Experiments With Nodekit

Michael Lee, SQI Intelligence Observatory Research Scientist

Introduction to Brain-Score

Kartik Pradeepan, SQI Brain-Score Research Scientist

Organizers

  • Sam Madden, Faculty Head of Computer Science, MIT Electrical Engineering and Computer Science (EECS); College of Computing Distinguished Professor
  • Eric Klopfer, Professor and Director, MIT Scheller Teacher Education Program and Education Arcade

Gain a deeper understanding of the applications and impact of AI in education.


Opening Remarks

Sam Madden, Faculty Head of Computer Science, MIT EECS; College of Computing Distinguished Professor
Eric Klopfer, Professor and Director, MIT Scheller Teacher Education Program and Education Arcade

AI as TA: Teaching With AI in Intro to Machine Learning

Shen Shen, Lecturer, MIT EECS

Use of AI in MIT Language Programs

Per Urlaub, Director, Global Languages; Professor of the Practice of German and Second Language Studies, MIT

Use of AI in the MIT Writing Program

Michael Trice, Lecturer, Writing, Rhetoric and Professional Communication, MIT

Experiences With AI in the Software Engineering Capstone

Daniel Jackson, Professor of Computer Science, MIT EECS

Panel Discussion: How Does AI Affect How We Learn?

Jacob Andreas, Associate Professor, EECS
Eric Klopfer, Professor and Director, Scheller Teacher Education Program and Education Arcade, MIT
Eric So, Sloan Distinguished Professor of Global Economics and Behavioral Science, MIT
Yael Vinker, Postdoctoral Researcher, MIT EECS & CSAIL
Melissa Webster, Senior Lecturer, Managerial Communication, MIT Sloan School of Management

Navigating Teaching and Assessing Student Learning in the GenAI Era

Lourdes Aleman, Associate Director, MIT Teaching + Learning Lab


Explore Past Sessions

IAP 2025

From deep learning and societal impacts to cryptography, security, and quantum technologies, last year’s Expanding Horizons in Computing sessions offered a compelling look at the opportunities and challenges shaping the future of computing.

IAP 2024

The inaugural Expanding Horizons in Computing series comprised 12 sessions that explored a wide range of topics in computing and AI, including security, intelligence, deep learning, design, sustainability, and policy.