Advised by Adam Perer and Jason Hong.

Concentration in intelligence and modeling/simulation. Minor in economics.

Sciences Po - Paris, France

Exchange program with a focus on economics and political science.

ML for predicting molecular toxicity.

Modular machine learning interfaces, see Symphony.

Behavioral model analysis, see AIFinnity.

Automated driver assistance and hyperlocal weather prediction for Android Auto.

Anomaly detection and regression analysis system for Google's data processing pipelines.

Analytics platform for monitoring and detecting erroneous edits to Google Maps.

Mozilla Technology Fund

$50,000 grant to develop Zeno as an auditing tool for AI.

Stanford HAI Audit Challenge

Zeno was a finalist for the HAI challenge for designing better AI auditing tools.

National Science Foundation Graduate Research Fellowship (NSF GRFP)

Three-year graduate fellowship for independent research. Full tuition with an annual stipend of $34,000.

Love Family Foundation Scholarship

Co-awarded the $10,000 scholarship for the undergraduate with the most outstanding scholastic record.

Full ride scholarship with $15,000 in extracurricular funding awarded to 10 incoming students.

Placed third and won $2,500 for creating a ML system to predict dangerous road areas.

Katherine Titterton, Daniil Boiko, Ángel Alexander Cabrera, Alex Bäuerle, Akshit Tyagi, Shahin Saneinejad, Alex Beatson, Brandon White

Society of Toxicology Annual Meeting, Poster. 2025.

Jessica Ewald, Katherine Titterton, Alex Bäuerle, Alex Beatson, Daniil Boiko, Ángel Alexander Cabrera, Jaime Cheah, Beth Cimini, Bram Gorissen, Thouis Jones, Konrad Karczewski, David Rouquié, Srijit Seal, Erin Weisbart, Brandon White, Anne Carpenter, Shantanu Singh

Preprint. 2025.

Nari Johnson, Ángel Alexander Cabrera, Gregory Plumb, Ameet Talwalkar

AAAI Conference on Human Computation and Crowdsourcing (HCOMP). Delft, Netherlands, 2023.

Gregory Plumb*, Nari Johnson*, Ángel Alexander Cabrera, Ameet Talwalkar

Transactions on Machine Learning Research (TMLR). 2023.

Ángel Alexander Cabrera, Erica Fu, Donald Bertucci, Kenneth Holstein, Ameet Talwalkar, Jason I. Hong, Adam Perer

ACM Conference on Conference on Human Factors in Computing Systems (CHI). Hamburg, Germany, 2023.

Ángel Alexander Cabrera, Adam Perer, Jason I. Hong

ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW). Minneapolis, 2023.

Ángel Alexander Cabrera, Marco Tulio Ribeiro, Bongshin Lee, Rob DeLine, Adam Perer, Steven M. Drucker

ACM Transactions on Computer-Human Interaction (TOCHI). 2023.

Ángel Alexander Cabrera*, Alex Bäuerle*, Fred Hohman, Megan Maher, David Koski, Xavier Suau, Titus Barik, Dominik Moritz

ACM Conference on Conference on Human Factors in Computing Systems (CHI). New Orleans, 2022.

Alex Reinhart, Logan Brooks, Maria Jahja, Aaron Rumack, Jingjing Tang, [et al, including Ángel Alexander Cabrera]

Proceedings of the National Academy of Sciences (PNAS). 2021.

Ángel Alexander Cabrera, Abraham Druck, Jason I. Hong, Adam Perer

ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW). Virtual, 2021.

Gregory Plumb, Maruan Al-Shedivat, Ángel Alexander Cabrera, Adam Perer, Eric Xing, Ameet Talwalkar

Conference on Neural Information Processing Systems (NeurIPS). Vancouver, 2020.

Hong Shen, Haojian Jin, Ángel Alexander Cabrera, Adam Perer, Haiyi Zhu, Jason I. Hong

ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW). Virtual, 2020.

Ángel Alexander Cabrera, Will Epperson, Fred Hohman, Minsuk Kahng, Jamie Morgenstern, Duen Horng (Polo) Chau

IEEE Conference on Visual Analytics Science and Technology (VAST). Vancouver, Canada, 2019.

Syeda Nahida Akter, Zichun Yu, Aashiq Muhamed, Tianyue Ou, Alex Bäuerle, Ángel Alexander Cabrera, Krish Dholakia, Chenyan Xiong, Graham Neubig

Preprint. 2023.

Gregory Plumb, Nari Johnson, Ángel Alexander Cabrera, Marco Tulio Ribeiro, Ameet Talwalkar

ICML - Workshop on Spurious Correlations, Invariance and Stability. Baltimore, MD, 2022.

Hong Shen, Ángel Alexander Cabrera, Adam Perer, Jason I. Hong

CHI - Fair & Responsible AI Workshop. Hawaii, USA, 2020.

Ángel Alexander Cabrera, Minsuk Kahng, Fred Hohman, Jamie Morgenstern, Duen Horng (Polo) Chau

ICLR - Debugging Machine Learning Models Workshop (Debug ML). New Orleans, Louisiana, USA, 2019.

Ángel Alexander Cabrera, Fred Hohman, Jason Lin, Duen Horng (Polo) Chau

CVPR - Demo. Salt Lake City, Utah, USA, 2018.

Teach weekly lab sections, grade tests and homeworks.

Taught a D3 course and led an ethics workshop in addition to grading and course management.

Taught a weekly recitation, graded tests and homework, and helped create assignments.

Instance tagging for Zeno.

UX design for an ML evaluation platform. See Zeno.

Chart builder for Zeno.

Interactive slice discovery for Zeno.

Interactive model debugging. See Zeno.

Algorithmic discovery of ML errors.

Improving human-AI interaction with descriptions of model behavior.

Crowdsourced discovery of ML failures for image captioning. See Deblinder.

CMU AI Mentoring Program

Organizer

Program Committee

Reviewer

Student Volunteer

Department

Zeno

An interactive ML evaluation framework for any data or model.

Svelte + Vega

A Svelte component for reactively rendering Vega and Vega-Lite visualizations.

Svelte + Jupyter Widgets

A framework for creating reactive data science widgets using Svelte JS.

COVIDCast Visualization of COVID-19 Indicators

Interactive visualization system of COVID-19 indicators gathered through >20,000,000 surveys on Facebook and Google by CMU Delphi.

Led a team of engineers in developing the software for a fully undergraduate-led satellite mission.

CTF Resources

Guide and resources for capture the flag (CTF) competitions with over 1.6k stars on GitHub.

MultiModal Machine Learning

Causality and Machine Learning

Human Judgement and Decision Making

Applied Research Methods

Deep Learning

Data and Visual Analytics

Machine Learning

Computer Simulation

Honors Algorithms