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Instruction

Teaching Assistant

Yale University

CPSC 4520b, Deep Learning Theory and Applications
Instructor: Dr. Smita Krishnaswamy

This course provides a principled and hands-on approach to deep learning with neural networks. Students master the principles and practices underlying neural networks, including modern methods of deep learning, and apply deep learning methods to real-world problems including image recognition, natural language processing, and biomedical applications.

MCDB 570, Biotechnology
Instructor: Dr. Craig Crews

The principles and applications of cellular, molecular, and chemical techniques that advance biotechnology. The most recent tools and strategies used by industrial labs, academic research, and government agencies to adapt biological and chemical compounds as medical treatments, as industrial agents, or for the further study of biological systems.

Yale Machine Learning for Single-Cell Analysis Workshop
Instructor: Dr. Smita Krishnaswamy

The purpose of this workshop is to tear back the complexity behind single cell analysis. Participants will learn practical skills for analyzing single cell datasets and develop a conceptual understanding of the machine learning foundations behind each method. Participants will also receive an introduction to emerging trends in single cell analysis such as deep learning.