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"
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).
Calculus I 71 eager minds,
Calculus II 38 étudiants, and
College Algebra 42 estudiantes.