Emma Munch

Nice to meet you.

I'm a Computer Science major with an emphasis in Applied Analytics graduating from the University of Southern California in May 2021. My main area of expertise is in data science and data analytics, specifically machine learning in the context of bioinformatics. I'm passionate about leveraging imaging to propel health forward.

Skills

Languages

Python
C/C++
Java

Libraries

NumPy
Pandas
Matplotlib
Seaborn
OpenCV
Tensorflow
Keras
SKlearn

Interests

Technical

Machine Learning/Deep Learning
Convolutional Neural Networks
Image Processing/Segmentation
Bioinformatics
Proteomics/Multiplexed Imaging

I am not a robot

Cooking
Volleyball
Photography

Download Resume

Ionpath

The majority of my experience is with Ionpath, a dynamic mass spectometry imaging proteomics imaging startup. I have been able to do 3 productive internships with them, working on a variety of different aspects on their image processing pipeline. Despite being on the Data Science team, I was passionate about writing modular and object-oriented code. Most recently, I worked on implementing a U-net CNN for cell classification using their proprietary image types as input and developing a plot-generation pipeline for streamlining creation of data analytics deliverables.

Retinal Fundus Exudate Segmentation

During my time in the USC Informatics and Image Processing Lab, I have worked on expanding a U-net CNN model to detect exudates in retinal fundus images. I have developed a hybrid algorithm that uses traditional image processing techniques like CLAHE, Kirsch's kernel, and morphological operations as well as deep learning to segment these lesions. I am also updating the inherited code base to Tensorflow 2.0 for use with Tensorboard and restructuring the workflow to be more similar to those followed by libraries like Keras and SK Learn. I owe a lot to this lab as it has not only introduced me to bioinformatics and image processing, but given me the opportunity to work on my project management skills, as I oversee an underclassman within my project.

Greenmap

This was a full-stack web development project that I completed for one of my classes while studying abroad at the University of Melbourne. The concept of the website was to create a Yelp-type web app for environmentally conscious and sustainable businesses. This was a fun project because I had never used React on the frontend or the Express framework to create a REST API before. One feature I'm particularly proud of was using the Google Maps API in conjuction with React, as it made passing information from component to component more difficult. See our app here!

Advent of Code 2020

Some former Ionpath coworkers and I hold a weekly study group where we tackle the advent calendar's problem set. This has been great for reviewing some fundamental computer science algorithms like DFS and sorting, while also getting to catch up with them. Ongoing progress here.

Music Visualizer

As part of a project for a club, USC Corpus Callosum, our team created a music visualizer with p5.js that created a 3D topography with colors pulled from the album cover of a song. This was one of my first experiences coding in Javascript and gave me exposure to k-means clustering and applications of the fourier transform. Project repo here.

Emma Munch

Hello World! I'm a data scientist.