Invited Talks

2022

A Cross-modal Autoencoder Framework Learns Representations of Cardiovascular State
INFORMS, Data-Driven Healthcare: From Predictions to Decisions

Wide and Deep Networks Achieve Consistency in Classification
SIAM Conference on Mathematics of Data Science,
Algebraic Geometry and Machine Learning Minisymposium

Over-parameterized Autoencoders and Applications in Genomics
Workshop on Theory of Over-parameterized Machine Learning (TOPML)

2021

A Simple Method for Associative Memory with Over-parameterized Autoencoders
Guest Lecture for 6.881: Tissue vs. Silicon in Machine Learning (MIT)

Simple, Fast, and Flexible Framework for Matrix Completion with Infinite Width Neural Networks
Deep Learning: Classics and Trends (ML Collective)

Simple, Fast, and Flexible Framework for Matrix Completion with Infinite Width Neural Networks
Biology Club Speaker Series (Phillips Exeter Academy)

Simple, Fast, and Flexible Framework for Matrix Completion with Infinite Width Neural Networks
Machine Learning for Healthcare Seminar (Broad)

Transport Problems in Biology: Theoretical and Applied Insights
CompCancer Invited Lecture (CompCancer Graduate Program)

Transport Problems in Biology: Theoretical and Applied Insights
Max Delbrück Center for Molecular Medicine System’s Biology Lecture Series (Berlin Insitute of Medical Systems Biology)

Transport Problems in Biology: Theoretical and Applied Insights
Biology + AI Reading Group (MILA)

2020

Overparameterized Neural Networks Implement Associative Memory
Cell Circuits and Epigenomics Seminar Series (Broad)

Overparameterized Neural Networks Implement Associative Memory [Recording]
Machine Learning at MIT Lecture Series (MIT)

2018

Keep Your Workplace and your Environment Safe Using Deep-Learning
ASUG-Executive Exhange: Reimagine Your Business with Artificial Intelligence (NVIDIA Corporate Headquarters)

2015

The Standard Young Tableaux, RSK, and Planar Partitions
Student Colloquium for Undergraduates in Mathematics (MIT)

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