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Dante F

- Research Program Mentor

PhD Doctor of Philosophy candidate


Neuroscience, Computational Neuroscience, RNA-SEQ, Bioinformatics

Project ideas

Project ideas are meant to help inspire student thinking about their own project. Students are in the driver seat of their research and are free to use any or none of the ideas shared by their mentors.

Network Modeling

In this project, students will learn about different types of neural networks and what problems motivated their creation from a historical perspective. Students will then select a network model to train to perform a task using a publicly available dataset. For example, students could train a convolutional neural network to categorize images in the CIFAR-10 dataset. Depending on familiarity with python, students will have the option of building their own model or using a publicly available one.


In this project, students will learn about RNA-seq and how to analyze and interpret data from these experiments. This includes providing a foundational introduction to quality control, alignment, and other data processing steps found in bioinformatics pipelines. Students will then use publicly available gene expression data (e.g. Allen Cell Types Database) to generate plots and analyze gene expression in the assayed cells.

Coding skills

python, Matlab

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