Talks

NeurIPS Self-Supervised Learning Workshop Oral (Dec 2024)
Occam's Razor: What's sufficient for learning good self-supervised representations?

Brown University talk on Robust Representation Learning (2024)
From Vision to Multimodal Self-Supervised Models

ICML Tutorial on Self-Superivsed Learning (2023) (400+ researchers attended)
From Research Advances to Best Practices (slides and recording)

Georgia Tech's Deep Learning Course Instructor (2022) (10k+ online students)
Lecture on "Feed Forward Neural Networks"

PyCon US 2020 (Python Conference)
Talk on "Machine Learning on Encrypted Data with CrypTen"

NeurIPS 2018 FEAP Workshop Spotlight Talk (Dec 2018)
"Towards Explainable Deep Learning for Credit Lending"

New York Python Meetup (Dec 2018)
Data Science Talk: " Explaining Deep Learning Models"

Applied Machine Learning Tom Tom Conference (April 2018)
"Explainable AI: Key Techniques and Societal Implications"

George Washington University, Data Driven Conference (Dec 2017)
"Understanding the Predictions of Deep Neural Networks"

NYC Data Wranglers Meetup (Aug 2016)
Data Science in Practice: "Building a Graph-Based Search Engine"

Advising & Mentorship

Research Internship Advising: Ouail Kitouni (MIT PhD, now Anthropic Research Scientist), Mazda Moayeri (U Maryland PhD student), Cian Eastwood (now Senior Research Scientist at Valence Labs), Karsten Roth (PhD Student Google DeepMind/Tubingen).

AI Residents: Megan Richards (incoming NYU PhD student with prof Kyunghyun Cho), Haider Al-Tahan (incoming Georgia Tech PhD student)

Industry PhD Advisor: Polina Kirichenko (NYU PhD, now Research Scientist at FAIR, Meta AI).

Courses Taught at the University of Vermont

Calculus I 71 eager minds,

Calculus II 38 étudiants, and

College Algebra 42 estudiantes.