I'm a data scientist interested in exploring the intersection of machine learning and complex systems. As an undergraduate, my primary academic interests were in economics and oncology—epigenetics, immunotherapy, and imaging technologies for pathology. I was a research assistant in a herpetology lab where I supported conservation efforts for many species, led outreach events for community engagement, and first-authored research on the digestive physiology of Burmese pythons and the social behavior of Diamondback terrapins.
I have experience in data acquisition and modeling, statistical analysis, machine learning, deep learning, image classification, and NLP. As an analytic, outcome-based thinker I bring strong interpersonal skills to projects with a diverse set of clients, to deliver individualized outcomes. With strong skills in project management and research, developed through a background in biology, finance, and theater, I am a leader that drives improved outcomes with machine learning.
Outside of data science, I'm an avid sci-fi reader, average chess player, and Bob's Burgers fan.
I deployed a web app on Heroku using Streamlit to create an interactive model from my Predicting Diabetes Rehospitalizations repo. Check it out!
- I was invited by Streamlit to host my web app on their beta version sharing service! Check it out!
I recently volunteered as a Data Analyst for DemocracyLab's latest hack-a-thon with OpenTwinCities' project exploring police reform and racial disparities in our communities. Check it out!
- Visualizing and Analyzing Proteins in Python: Proteomics with Biopython
- The Art of Science: Creating Insightful and Beautiful Bioinformatics Visualizations
- Customizing NetworkX Graphs: Your One Stop Shop for All Things NetworkX
- Why You Should Play Chess
- The Normal Distribution
- Bayes’ Theorem
- How to Deploy your Custom ML Model with Streamlit and Heroku
- Precision Medicine and Machine Learning
- The Ethics of Data Collection
- An Introduction to Machine Learning in Oncology